Code Book for the PISA-Plus 2012-2013 Campus Files

Introduction

What are Campus Files?

Campus Files (CFs) are fully anonymous data sets that can be used in academic teaching (e.g., analyzing large-scale assessments with complex data structures). CFs can also be used to illustrate key steps in data management and data preparation. Furthermore, CF might be helpful for preparing statistical code for the corresponding Scientific Use Files (SUFs). CFs can also be analyzed for student papers. However, the analysis potential of the data sets is reduced. Analyses based on CFs can lead to results that deviate considerably from those of corresponding SUFs.

How were the data sets generated?

Campus Files (CFs) for the PISA-Plus 2012-2013 data set are based on the corresponding Scientific Use Files (SUFs). The SUFs have already been anonymized in a way that no personal reference can be established. Compared to SUFs, CFs have a reduced number of variables for which additionally anonymization steps were carried out. The CFs were prepared in several steps. First, students from special education schools, vocational track schools (Hauptschule, Berufsschule) were excluded. Furthermore, students who did not fill out the questionnaire (e.g., due to absence or lack of parental consent) were excluded from the data set. Next, synthetic data were generated with the R-package synthpop (Nowok et al., 2016). Values of the original variables were randomly distributed among cases in the data sets. This procedure results in a synthetic data set with cases that do not correspond to the cases in the SUFs. Synthetic data generation, however, was carried out in a way that correlations between variables in the SUFs are preserved to a considerable extent in the corresponding CFs.

Synthetic variables on the school and class-level were generated first in separate school and class data sets. Predictors in the data generation process included all school- and class-averaged scale scores of individual questionnaire data (e.g., math anxiety, student-teacher-relation), achievement scores (e.g., class-average math achievement) and selected background characteristics (e. g. socio-economic background, migration, gender). This was done to increase the number of predictors on the school- and class-level as well as to account for the hierarchical data structure (i.e., students nested in classrooms nested in schools). In a next step, the synthesized variables were merged to the student data set and subsequently used as predictors together with the previously mentioned class-averages in the data generation process on the student level. Achievement test data were not altered with synthpop to preserve their hierarchical data structure. Instead, test scores and corresponding standard errors were altered by adding random noise from a normal distribution to the original scores.

What is the content of the PISA-Plus 2012-2013 campus files?

The PISA-Plus 2012-2013 study is a supplement to the German PISA study in 2012 adding a second measurement point. Ninth-graders were tested one year later, in spring 2013, when they were in tenth grade. The aim of the study was to assess students’ achievement gains in mathematics, German reading and science over one school year. Additionally, students, teachers and school principals filled out questionnaires about individual characteristics (e.g., motivation, anxiety, interest) and characteristics of the learning environment (e.g., cognitive activation, disciplinary climate, student-teacher relations). These questionnaire data can be used to examine their effects on achievement gains as well as psychosocial outcomes (e.g., students’ sense of belonging). Central results of the study are reported by Reiss et al. (2017).

Overall, the sample of the CFs includes n = 4545 students from n = 254 classrooms in n = 134 schools. The PISA-Plus 2012-2013 campus files consist of two data sets. The first data set (PISA-Plus-2012-2013_Dataset_CF) contains background characteristics, questionnaire data from students and school principals, as well as achievement test scores and school grades. Note that this data set contains questionnaire data on the item level. Scale descriptions reported in this code book (e. g., reliabilities, scale scores) are not part of the data set. Furthermore, inverted items were only recoded for scale documentation purposes in this code book, they remain in reverse coding in the data set. In this code book, inverted items have the suffix “R” in their variable name which is not included in their names in the data set. The following variable names documented in the code book do not end on a capital “R” in the data set: “selfcon_a_t1R”, “belong_a_t1R”, “belong_d_t1R”, “belong_f_t1R”, “belong_a_t2R”, “belong_d_t2R”, “belong_f_t2R”, “attitud_a_t1R”, “attitud_b_t1R”, “attitud_a_t2R”, “attitud_b_t2R”, “Pcult_c_t2R”.

The second data set (PISA-Plus-2012-2013_Weights_CF) contains sampling weights to account for the two-stage and stratified sampling procedure as well as the hierarchical data structure. Furthermore, the data set contains replicate weights (Balanced Repeated Replication, BRR) to adjust variance and standard error estimations of population parameters for dependencies in the data (e.g., due to sampling and the nesting of students in classrooms/schools). Both data sets can be merged via the unique student identifier “idstud” (Student-ID).
The CFs correspond to Scientific Use Files (SUFs) which are available for re- and secondary data analyses at the Research Data Centre at the IQB http://doi.org/10.5159/IQB_PISA_Plus_2012-13_v2. Note that some variable names were changed for better readability; these variables are listed in Table 1.

Table 1. Differences in Variable Names Between Scientific Use Files (SUFs) and Corresponding Campus Files (CFs)

Variable Names (SUF)	Variable Names (CFs)
Schulart	schtype
Pplus_TG_Gy8_Gy9	g8g9
Pplus_PP_ST06i	ganztag
Pplus_PP_ST02	sameteach
REPEAT	repeated
ST04Q01	gender
AGE	age
DEU_ST25Q01_FDZ	language
IMMIG	migration
HOMEPOS	homepos
ST28Q01	books
PARED	pared
ST08Q01,ST09Q01,ST115Q01	truancy_a_t1 - truancy_c_t1
IC03Q01, IC04Q01	computer_age, internet_age
IC06Q01, IC07Q01	int_use_a_t1, int_use_b_t1
tnotedeu.r	grade_de_t1
tnotemat.r	grade_ma_t1
tnotebio.r	grade_bio_t1
tnoteche.r	grade_che_t1
tnotephy.r	grade_phy_t1
tnotenws.r	grade_sci_t1
m1_wle, r1_wle, s1_wle	ma_wle_t1, rea_wle_t1, sci_wle_t1
m1_ser, r1_ser, s1_ser	ma_se_t1, rea_se_t1, sci_se_t1
m2_wle, r2_wle, s2_wle	ma_wle_t2, rea_wle_t2, sci_wle_t2
m2_ser, r2_ser, s2_ser	ma_se_t2, rea_se_t2, sci_se_t2
mpv1_w1 - mpv5_w1	ma_pv1_t1 - ma_pv5_t1
mpv1_w2 - mpv5_w2	ma_pv1_t2 - ma_pv5_t2
rpv1_w1 - rpv5_w1	rea_pv1_t1 - rea_pv5_t1
rpv1_w2 - rpv5_w2	rea_pv1_t2 - rea_pv5_t2
spv1_w1 - spv5_w1	sci_pv1_t1 - sci_pv5_t1
spv1_w2 - spv5_w2	sci_pv1_t2 - sci_pv5_t2
meap_w1,reap_w1,seap_w1	ma_eap_t1,rea_eap_t1,sci_eap_t1
mser_w1,rser_w1,sser_w1	ma_pvse_t1,rea_pvse_t1,sci_pvse_t1
meap_w2,reap_w2,seap_w2	ma_eap_t2,rea_eap_t2,sci_eap_t2
mser_w2,rser_w2,sser_w2	ma_pvse_t2,rea_pvse_t2,sci_pvse_t2
ST29Q01, 03, 04, 06	int_a_t1 - int_d_t1
ST29Q02, 05, 07, 08	instmot_a_t1 - instmot_d_t1
ST35Q01 - 06	norms_a_t1 - norms_f_t1
ST42Q01, 03, 05, 08, 10	anxiety_a_t1 - anxiety_e_t1
ST42Q02, 04, 06, 07, 09	selfcon_a_t1 - selfcon_e_t1
ST46Q01 - 09	worketh_a_t1 - worketh_i_t1
ST48Q01 - 05	intent_a_t1 - intent_e_t1
Pplus_ST48a - e	intent_a_t2 - intent_e_t2
ST49Q01 - 09(no item 08)	behav_a_t1 - behav_h_t1
Pplus_ST49a - h	behav_a_t2 - behav_h_t2
ST77Q01 - 06(no item 03)	teach_a_t1 - teach_e_t1
Pplus_ST77a - e	teach_a_t2 - teach_e_t2
ST80Q01, ST80Q04 - 11	cognact_a_t1 - cognact_i_t1
Pplus_ST80a - e	cognact_a_t2 - cognact_i_t2
ST81Q01 - 05	discpline_a_t1 - discpline_e_t1
Pplus_ST81a - e	discpline_a_t2 - discpline_e_t2
ST86Q01 - 05	relation_a_t1 - relation_e_t1
Pplus_ST86a - e	relation_a_t2 - relation_e_t2
ST87Q01 - 09	belong_a_t1 - belong_i_t1
Pplus_DEU_ST140a - i	belong_a_t2 - belong_i_t2
ST88Q01-04, ST89Q02-05	attitud_a_t1 - attitud_h_t1
Pplus_ST88a - d,	attitud_a_t2 -
Pplus_ST89a - d	attitud_h_t2
SC22a - s	Phind_a_t2 - Phind_s_t2
PP_SC06a - e	Pcult_a_t2 - Pcult_e_t2

The CFs are available in the following formats: R (.rda), SPSS (.sav), and Stata (.dta). This code book was created with the R-package codebook (Arslan, 2018).

Suggested citation

Forschungsdatenzentrum am Institut zur Qualitätsentwicklung im Bildungswesen (FDZ am IQB) [Research Data Centre at the Institute for Educational Quality Improvement (FDZ at IQB)] (2020). Programme for International Student Assessment - Plus 2012, 2013 (PISA Plus 2012-2013) - Campus File (Version 1) [Data set]. Berlin: IQB - Institut zur Qualitätsentwicklung im Bildungswesen. http://doi.org/10.5159/IQB_PISA_Plus_2012-13_CF_v1

Literature

Arslan, R. C. (2018). How to automatically generate rich codebooks from study metadata.Software package, https://doi.org/10.31234/osf.io/5qc6h
Nowok, B., Raab, G. M, & Dibben, C.(2016). synthpop: Bespoke Creation of Synthetic Data in R. Journal of Statistical Software, 74(11), 1-26. https://doi.org/10.18637/jss.v074.i11
Reiss, K., Klieme, E., Köller, O., & Stanat, P. (Eds.). (2017). PISA Plus 2012–2013: Kompetenzentwicklung im Verlauf eines Schuljahres. Springer VS.

knitr::opts_chunk$set(
  warning = FALSE, # show warnings during codebook generation
  message = FALSE, # show messages during codebook generation
  error = TRUE, # do not interrupt codebook generation in case of errors,
                # usually better for debugging
  echo = FALSE  # show R code
)
ggplot2::theme_set(ggplot2::theme_classic()) # layout der grafiken anpassen
library(ggplot2)

## Warning: package 'ggplot2' was built under R version 3.6.2

theme_update(legend.title = element_blank()) # legendentitel nicht drucken

# Farbdefaults aendern
update_geom_defaults("bar",list(colour = "black")) # Rahmen
update_geom_defaults("bar",list(fill = "seagreen2")) # Fuellung

# Tabellen nicht splitten
pander::panderOptions("table.split.table", Inf)

Metadata

Description

Dataset name: PISA-Plus 2012-2013: 9th graders achievement gains over one school year

Campus File for the PISA-Plus 2012-2013 data set based on the corresponding Scientific Use Files (http://doi.org/10.5159/IQB_PISA_Plus_2012-13_v2).

Metadata for search engines

• Temporal Coverage: 2012 - 2013

• Citation: Forschungsdatenzentrum am Institut zur Qualitätsentwicklung im Bildungswesen (FDZ am IQB) [Research Data Centre at the Institute for Educational Quality Improvement (FDZ at IQB)] (2020). Programme for International Student Assessment - Plus 2012, 2013 (PISA Plus 2012-2013) - Campus File (Version 1) [Data set]. Berlin: IQB - Institut zur Qualitätsentwicklung im Bildungswesen. http://doi.org/10.5159/IQB_PISA_Plus_2012-13_CF_v1

• Identifier: https://doi.org/10.5159/IQB_PISA_Plus_2012-13_CF_v1

• Date published: 2020-04-28

• Creator: Aleksander Kocaj (Research Data Centre at the IQB)

  • keywords: Campus File, Large-Scale Assessment, Germany, Longitudinal Design, Grade 9 - 10, Students, Achievement Tests and Learning Enivronment

Variables

Version_v1_2020_04_18

Version number (v1)

Distribution

## Error in if (stats::median(table(x)) == 1) {: Fehlender Wert, wo TRUE/FALSE nötig ist

## No non-missing values to show.

4545 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	whitespace
Version_v1_2020_04_18	Version number (v1)	character	4545	0	0	0	0

idstud

Student-ID

Distribution

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
idstud	Student-ID	numeric	0	1	1	2290	4573	2288.857	1319.629	▇▇▇▇▇

idschool

School-ID

Distribution

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
idschool	School-ID	numeric	0	1	1	71	134	68.86205	37.96807	▇▇▇▇▇

idclass

Class-ID

Distribution

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
idclass	Class-ID	numeric	0	1	1	224	409	218.3217	113.4951	▅▇▆▇▇

schtype

School track

Distribution

0 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
schtype	School track	factor	FALSE	1. Gymnasium (academic track), 2. Realschule, 3. schools with several courses of education	0	1	3	Gym: 2162, Rea: 1338, sch: 1045

sameteach

Same math teacher in both school years

Distribution

19 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
sameteach	Same math teacher in both school years	factor	FALSE	1. No, 2. Yes	19	0.9958196	2	Yes: 2561, No: 1965

g8g9

8 years to Abitur (G8) or 9 years to Abitur (G9)

Distribution

2142 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
g8g9	8 years to Abitur (G8) or 9 years to Abitur (G9)	factor	FALSE	1. G8 - 8 years to abitur, 2. G9 - 9 years to abitur	2142	0.5287129	2	G8 : 2253, G9 : 150

ganztag

All-day school service available

Distribution

0 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
ganztag	All-day school service available	factor	FALSE	1. No, 2. Yes	0	1	2	No: 3630, Yes: 915

classsize

Class size

Distribution

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
classsize	Class size	numeric	0	1	1	21	29	20.10539	4.888828	▁▁▃▇▅

repeated

Grade repetition

Distribution

294 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
repeated	Grade repetition	factor	FALSE	1. Did not repeat a grade, 2. Repeated a grade	294	0.9353135	2	Did: 3750, Rep: 501

gender

Gender

Distribution

0 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
gender	Gender	factor	FALSE	1. Female, 2. Male	0	1	2	Fem: 2333, Mal: 2212

age

Age of student at T1

Distribution

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
age	Age of student at T1	numeric	0	1	14	15	16	15.4017	0.4534962	▁▁▇▇▃

language

Language at home

Distribution

380 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
language	Language at home	factor	FALSE	1. German, 2. Bosnian, 3. Greek, 4. Italian, 5. Kurdish, 6. Polish, 7. Russian, 8. Serbian, 9. Turkish, 10. Another language	380	0.9163916	10	Ger: 3936, Tur: 75, Ano: 70, Rus: 42

migration

Immigration status

Distribution

491 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
migration	Immigration status	factor	FALSE	1. Native, 2. First-Generation, 3. Second-Generation	491	0.8919692	3	Nat: 3619, Sec: 317, Fir: 118

hisced

Highest educational level of parents

Distribution

496 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
hisced	Highest educational level of parents	factor	FALSE	1. None, 2. ISCED 2, 3. ISCED 3B, C, 4. ISCED 3A, 4, 5. ISCED 5B, 6. ISCED 5A, 6	496	0.8908691	6	ISC: 1499, ISC: 926, ISC: 746, ISC: 710

hisei

Highest parental occupational status

Distribution

676 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
hisei	Highest parental occupational status	numeric	676	0.8512651	10	51	89	52.39959	15.89733	▁▆▇▆▂

homepos

Home possessions (WLE)

Distribution

311 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
homepos	Home possessions (WLE)	numeric	311	0.9315732	-6	0.38	3.5	0.4172508	0.7669632	▁▁▁▇▁

books

How many books at home

Distribution

375 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
books	How many books at home	factor	FALSE	1. 0-10 books, 2. 11-25 books, 3. 26-100 books, 4. 101-200 books, 5. 201-500 books, 6. More than 500 books	375	0.9174917	6	26-: 1212, 101: 893, 201: 859, Mor: 537

pared

Highest parental education in years

Distribution

496 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
pared	Highest parental education in years	numeric	496	0.8908691	3	15	18	14.57446	3.141107	▁▁▃▇▇

computer_age

First use of computers

Distribution

363 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
computer_age	First use of computers	factor	FALSE	1. 6 years old or younger, 2. 7-9 years old, 3. 10-12 years old, 4. 13 years old or older, 5. Never	363	0.920132	5	7-9: 2161, 6 y: 1023, 10-: 883, 13 : 108

internet_age

First access to internet

Distribution

382 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
internet_age	First access to internet	factor	FALSE	1. 6 years old or younger, 2. 7-9 years old, 3. 10-12 years old, 4. 13 years old or older, 5. Never	382	0.9159516	5	10-: 1893, 7-9: 1635, 13 : 337, 6 y: 297

int_use_a_t1

Internet out-of-school - weekday

Distribution

361 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
int_use_a_t1	Internet out-of-school - weekday	factor	FALSE	1. No time, 2. 1-30 minutes, 3. 31-60 minutes, 4. Between 1 and 2 hours, 5. Between 2 and 4 hours, 6. Between 4 and 6 hours, 7. More than 6 hours	361	0.9205721	7	Bet: 1319, Bet: 1090, 31-: 699, Bet: 375

int_use_b_t1

Internet out-of-school - weekend

Distribution

353 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
int_use_b_t1	Internet out-of-school - weekend	factor	FALSE	1. No time, 2. 1-30 minutes, 3. 31-60 minutes, 4. Between 1 and 2 hours, 5. Between 2 and 4 hours, 6. Between 4 and 6 hours, 7. More than 6 hours	353	0.9223322	7	Bet: 1221, Bet: 912, Bet: 742, Mor: 500

grade_de_t1

School grade in German (First school semester) (T1)

Distribution

81 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
grade_de_t1	School grade in German (First school semester) (T1)	factor	FALSE	1. very good, 2. good, 3. satisfactory, 4. sufficient, 5. deficient	81	0.9821782	5	sat: 2012, goo: 1232, suf: 965, ver: 165

grade_ma_t1

School grade in mathematics (First school semester) (T1)

Distribution

94 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
grade_ma_t1	School grade in mathematics (First school semester) (T1)	factor	FALSE	1. very good, 2. good, 3. satisfactory, 4. sufficient, 5. deficient	94	0.9793179	5	sat: 1622, suf: 1195, goo: 1060, ver: 288

grade_bio_t1

School grade in biology (First school semester) (T1)

Distribution

882 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
grade_bio_t1	School grade in biology (First school semester) (T1)	factor	FALSE	1. very good, 2. good, 3. satisfactory, 4. sufficient, 5. deficient	882	0.8059406	5	sat: 1502, goo: 1143, suf: 691, ver: 264

grade_che_t1

School grade in chemistry (First school semester) (T1)

Distribution

567 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
grade_che_t1	School grade in chemistry (First school semester) (T1)	factor	FALSE	1. very good, 2. good, 3. satisfactory, 4. sufficient, 5. deficient	567	0.8752475	5	sat: 1565, goo: 1102, suf: 866, ver: 328

grade_phy_t1

School grade in physics (First school semester) (T1)

Distribution

698 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
grade_phy_t1	School grade in physics (First school semester) (T1)	factor	FALSE	1. very good, 2. good, 3. satisfactory, 4. sufficient, 5. deficient	698	0.8464246	5	sat: 1536, goo: 1010, suf: 881, ver: 301

grade_sci_t1

School grade in science (First school semester) (T1)

Distribution

4063 missing values.

Summary statistics

name	label	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts
grade_sci_t1	School grade in science (First school semester) (T1)	factor	FALSE	1. very good, 2. good, 3. satisfactory, 4. sufficient, 5. deficient	4063	0.1060506	5	goo: 202, sat: 185, suf: 65, ver: 27

Scale: Truancy_T1

Overview

Reliability: ω_ordinal [95% CI] = 0.73 [0.71;0.74].

Missing: 306.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.3135
Omega Psych Tot	0.4601
Omega Psych H	0.03502
Omega Ordinal	0.727
Cronbach Alpha	0.3126
Greatest Lower Bound	0.4811
Alpha Ordinal	0.6843

Positive correlations: 3 out of 3 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: truancy_a_t1, truancy_b_t1, truancy_c_t1
##               Observations: 4239
##      Positive correlations: 3 out of 3 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.31
##       Omega (hierarchical): 0.04
##    Revelle's omega (total): 0.46
## Greatest Lower Bound (GLB): 0.48
##              Coefficient H: 0.54
##           Cronbach's alpha: 0.31
## Confidence intervals:
##              Omega (total): [0.28, 0.34]
##           Cronbach's alpha: [0.28, 0.34]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 0.73
##  Ordinal Omega (hierarch.): 0.73
##   Ordinal Cronbach's alpha: 0.68
## Confidence intervals:
##      Ordinal Omega (total): [0.71, 0.74]
##   Ordinal Cronbach's alpha: [0.67, 0.7]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 1.402, 0.919, 0.679
## Loadings:
##              PC1  
## truancy_a_t1 0.495
## truancy_b_t1 0.777
## truancy_c_t1 0.744
## 
##                  PC1
## SS loadings    1.402
## Proportion Var 0.467
## 
##              vars    n mean   sd median trimmed mad min max range skew
## truancy_a_t1    1 4239 1.22 0.53      1    1.09   0   1   4     3 2.94
## truancy_b_t1    2 4239 1.03 0.22      1    1.00   0   1   4     3 8.38
## truancy_c_t1    3 4239 1.07 0.30      1    1.00   0   1   4     3 4.88
##              kurtosis   se
## truancy_a_t1     9.78 0.01
## truancy_b_t1    87.33 0.00
## truancy_c_t1    27.99 0.00

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
truancy_a_t1	Late for School	haven_labelled	1. None, 2. One or two times, 3. Three or four times, 4. Five or more times	301	0.9337734	1	1	4	1.217483	0.5340763	4	▇▁▂▁▁▁▁▁
truancy_b_t1	Skip whole school day	haven_labelled	1. None, 2. One or two times, 3. Three or four times, 4. Five or more times	303	0.9333333	1	1	4	1.033710	0.2183405	4	▇▁▁▁▁▁▁▁
truancy_c_t1	Skip classes within school day	haven_labelled	1. None, 2. One or two times, 3. Three or four times, 4. Five or more times	305	0.9328933	1	1	4	1.070755	0.2973396	4	▇▁▁▁▁▁▁▁

Scale: Math_Interest_T1

Overview

Reliability: ω_ordinal [95% CI] = 0.91 [0.9;0.92].

Missing: 1774.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.8815
Omega Psych Tot	0.8839
Omega Psych H	0.8532
Omega Ordinal	0.9099
Cronbach Alpha	0.8698
Greatest Lower Bound	0.8916
Alpha Ordinal	0.9083

Positive correlations: 6 out of 6 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: int_a_t1, int_b_t1, int_c_t1, int_d_t1
##               Observations: 2771
##      Positive correlations: 6 out of 6 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.88
##       Omega (hierarchical): 0.85
##    Revelle's omega (total): 0.88
## Greatest Lower Bound (GLB): 0.89
##              Coefficient H: 0.91
##           Cronbach's alpha: 0.87
## Confidence intervals:
##              Omega (total): [0.87, 0.89]
##           Cronbach's alpha: [0.86, 0.88]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 0.91
##  Ordinal Omega (hierarch.): 0.91
##   Ordinal Cronbach's alpha: 0.91
## Confidence intervals:
##      Ordinal Omega (total): [0.9, 0.92]
##   Ordinal Cronbach's alpha: [0.9, 0.91]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 2.882, 0.513, 0.399, 0.207
## Loadings:
##          PC1  
## int_a_t1 0.770
## int_b_t1 0.885
## int_c_t1 0.903
## int_d_t1 0.829
## 
##                  PC1
## SS loadings    2.882
## Proportion Var 0.720
## 
##          vars    n mean   sd median trimmed  mad min max range  skew
## int_a_t1    1 2771 1.77 0.79      2    1.67 1.48   1   4     3  0.77
## int_b_t1    2 2771 2.20 0.94      2    2.13 1.48   1   4     3  0.28
## int_c_t1    3 2771 2.21 1.02      2    2.14 1.48   1   4     3  0.37
## int_d_t1    4 2771 2.57 0.95      3    2.59 1.48   1   4     3 -0.07
##          kurtosis   se
## int_a_t1    -0.02 0.01
## int_b_t1    -0.87 0.02
## int_c_t1    -1.01 0.02
## int_d_t1    -0.93 0.02

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
int_a_t1	Enjoy reading	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1728	0.6198020	1	2	4	1.764288	0.7836865	4	▇▁▇▁▁▂▁▁
int_b_t1	Look forward to lessons	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1728	0.6198020	1	2	4	2.210863	0.9431172	4	▆▁▇▁▁▆▁▂
int_c_t1	Enjoy math	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1750	0.6149615	1	2	4	2.214311	1.0241584	4	▇▁▇▁▁▆▁▃
int_d_t1	Interested	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1738	0.6176018	1	3	4	2.577485	0.9534603	4	▃▁▇▁▁▇▁▅

Scale: Instrumental_Motivation_T1

Overview

Reliability: ω_ordinal [95% CI] = 0.9 [0.9;0.91].

Missing: 1758.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.8629
Omega Psych Tot	0.8791
Omega Psych H	0.8467
Omega Ordinal	0.9013
Cronbach Alpha	0.8622
Greatest Lower Bound	0.862
Alpha Ordinal	0.9004

Positive correlations: 6 out of 6 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: instmot_a_t1, instmot_b_t1, instmot_c_t1, instmot_d_t1
##               Observations: 2787
##      Positive correlations: 6 out of 6 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.86
##       Omega (hierarchical): 0.85
##    Revelle's omega (total): 0.88
## Greatest Lower Bound (GLB): 0.86
##              Coefficient H: 0.87
##           Cronbach's alpha: 0.86
## Confidence intervals:
##              Omega (total): [0.85, 0.87]
##           Cronbach's alpha: [0.85, 0.87]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 0.9
##  Ordinal Omega (hierarch.): 0.9
##   Ordinal Cronbach's alpha: 0.9
## Confidence intervals:
##      Ordinal Omega (total): [0.9, 0.91]
##   Ordinal Cronbach's alpha: [0.89, 0.91]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 2.847, 0.476, 0.378, 0.3
## Loadings:
##              PC1  
## instmot_a_t1 0.827
## instmot_b_t1 0.873
## instmot_c_t1 0.809
## instmot_d_t1 0.863
## 
##                  PC1
## SS loadings    2.847
## Proportion Var 0.712
## 
##              vars    n mean   sd median trimmed  mad min max range  skew
## instmot_a_t1    1 2787 2.77 0.86      3    2.82 1.48   1   4     3 -0.30
## instmot_b_t1    2 2787 2.99 0.88      3    3.09 1.48   1   4     3 -0.65
## instmot_c_t1    3 2787 2.58 1.01      3    2.60 1.48   1   4     3 -0.10
## instmot_d_t1    4 2787 2.82 0.90      3    2.88 1.48   1   4     3 -0.36
##              kurtosis   se
## instmot_a_t1    -0.56 0.02
## instmot_b_t1    -0.22 0.02
## instmot_c_t1    -1.07 0.02
## instmot_d_t1    -0.64 0.02

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
instmot_a_t1	Worthwhile for Work	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1728	0.6198020	1	3	4	2.773873	0.8621123	4	▂▁▅▁▁▇▁▃
instmot_b_t1	Worthwhile for Career Chances	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1738	0.6176018	1	3	4	2.992163	0.8801744	4	▂▁▃▁▁▇▁▆
instmot_c_t1	Important for Future Study	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1743	0.6165017	1	3	4	2.577088	1.0044259	4	▅▁▇▁▁▇▁▅
instmot_d_t1	Helps to Get a Job	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1735	0.6182618	1	3	4	2.817794	0.8998853	4	▂▁▅▁▁▇▁▅

Scale: Subjective_Norms_Friends_T1

Overview

Reliability: ω_ordinal [95% CI] = 0.59 [0.57;0.62].

Missing: 1783.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.4886
Omega Psych Tot	0.5053
Omega Psych H	0.04562
Omega Ordinal	0.5945
Cronbach Alpha	0.4772
Greatest Lower Bound	0.5228
Alpha Ordinal	0.5736

Positive correlations: 3 out of 3 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: norms_a_t1, norms_b_t1, norms_c_t1
##               Observations: 2762
##      Positive correlations: 3 out of 3 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.49
##       Omega (hierarchical): 0.05
##    Revelle's omega (total): 0.51
## Greatest Lower Bound (GLB): 0.52
##              Coefficient H: 0.54
##           Cronbach's alpha: 0.48
## Confidence intervals:
##              Omega (total): [0.46, 0.52]
##           Cronbach's alpha: [0.44, 0.51]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 0.59
##  Ordinal Omega (hierarch.): 0.59
##   Ordinal Cronbach's alpha: 0.57
## Confidence intervals:
##      Ordinal Omega (total): [0.57, 0.62]
##   Ordinal Cronbach's alpha: [0.55, 0.6]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 1.478, 0.847, 0.674
## Loadings:
##            PC1  
## norms_a_t1 0.723
## norms_b_t1 0.609
## norms_c_t1 0.765
## 
##                  PC1
## SS loadings    1.478
## Proportion Var 0.493
## 
##            vars    n mean   sd median trimmed  mad min max range skew
## norms_a_t1    1 2762 2.57 0.68      3    2.55 1.48   1   4     3 0.04
## norms_b_t1    2 2762 2.32 0.72      2    2.33 0.00   1   4     3 0.30
## norms_c_t1    3 2762 1.52 0.66      1    1.43 0.00   1   4     3 1.15
##            kurtosis   se
## norms_a_t1    -0.25 0.01
## norms_b_t1    -0.06 0.01
## norms_c_t1     1.24 0.01

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
norms_a_t1	Friends Do Well in Mathematics	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1733	0.6187019	1	3	4	2.565078	0.6870999	4	▁▁▇▁▁▇▁▁
norms_b_t1	Friends Work Hard on Mathematics	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1753	0.6143014	1	2	4	2.317335	0.7239668	4	▂▁▇▁▁▅▁▁
norms_c_t1	Friends Enjoy Mathematics Tests	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1733	0.6187019	1	1	4	1.526316	0.6601566	4	▇▁▆▁▁▁▁▁

Scale: Subjective_Norms_Parents_T1

Overview

Reliability: ω_ordinal [95% CI] = 0.72 [0.7;0.74].

Missing: 1844.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.6343
Omega Psych Tot	0.6533
Omega Psych H	0.03021
Omega Ordinal	0.7184
Cronbach Alpha	0.6017
Greatest Lower Bound	0.6819
Alpha Ordinal	0.6827

Positive correlations: 3 out of 3 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: norms_d_t1, norms_e_t1, norms_f_t1
##               Observations: 2701
##      Positive correlations: 3 out of 3 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.63
##       Omega (hierarchical): 0.03
##    Revelle's omega (total): 0.65
## Greatest Lower Bound (GLB): 0.68
##              Coefficient H: 0.75
##           Cronbach's alpha: 0.6
## Confidence intervals:
##              Omega (total): [0.61, 0.66]
##           Cronbach's alpha: [0.58, 0.63]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 0.72
##  Ordinal Omega (hierarch.): 0.72
##   Ordinal Cronbach's alpha: 0.68
## Confidence intervals:
##      Ordinal Omega (total): [0.7, 0.74]
##   Ordinal Cronbach's alpha: [0.66, 0.7]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 1.704, 0.824, 0.472
## Loadings:
##            PC1  
## norms_d_t1 0.807
## norms_e_t1 0.839
## norms_f_t1 0.591
## 
##                  PC1
## SS loadings    1.704
## Proportion Var 0.568
## 
##            vars    n mean   sd median trimmed  mad min max range  skew
## norms_d_t1    1 2701 3.38 0.68      3    3.48 1.48   1   4     3 -0.91
## norms_e_t1    2 2701 3.25 0.76      3    3.34 1.48   1   4     3 -0.76
## norms_f_t1    3 2701 2.65 0.80      3    2.66 1.48   1   4     3 -0.23
##            kurtosis   se
## norms_d_t1     0.65 0.01
## norms_e_t1     0.09 0.01
## norms_f_t1    -0.36 0.02

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
norms_d_t1	Parents Believe Studying Mathematics Is Important	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1752	0.6145215	1	3	4	3.389545	0.6766084	4	▁▁▁▁▁▇▁▇
norms_e_t1	Parents Believe Mathematics Is Important for Career	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1748	0.6154015	1	3	4	3.240257	0.7627193	4	▁▁▂▁▁▇▁▇
norms_f_t1	Parents Like Mathematics	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1779	0.6085809	1	3	4	2.653652	0.7946926	4	▁▁▅▁▁▇▁▂

Scale: Math_Anxiety_T1

Overview

Reliability: ω_ordinal [95% CI] = 0.88 [0.87;0.89].

Missing: 1829.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.8409
Omega Psych Tot	0.8697
Omega Psych H	0.7131
Omega Ordinal	0.8819
Cronbach Alpha	0.8359
Greatest Lower Bound	0.8337
Alpha Ordinal	0.8811

Positive correlations: 10 out of 10 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: anxiety_a_t1, anxiety_b_t1, anxiety_c_t1, anxiety_d_t1, anxiety_e_t1
##               Observations: 2716
##      Positive correlations: 10 out of 10 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.84
##       Omega (hierarchical): 0.71
##    Revelle's omega (total): 0.87
## Greatest Lower Bound (GLB): 0.83
##              Coefficient H: 0.85
##           Cronbach's alpha: 0.84
## Confidence intervals:
##              Omega (total): [0.83, 0.85]
##           Cronbach's alpha: [0.83, 0.85]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 0.88
##  Ordinal Omega (hierarch.): 0.88
##   Ordinal Cronbach's alpha: 0.88
## Confidence intervals:
##      Ordinal Omega (total): [0.87, 0.89]
##   Ordinal Cronbach's alpha: [0.87, 0.89]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 3.04, 0.755, 0.457, 0.419, 0.329
## Loadings:
##              PC1  
## anxiety_a_t1 0.837
## anxiety_b_t1 0.777
## anxiety_c_t1 0.721
## anxiety_d_t1 0.800
## anxiety_e_t1 0.758
## 
##                  PC1
## SS loadings    3.040
## Proportion Var 0.608
## 
##              vars    n mean   sd median trimmed  mad min max range  skew
## anxiety_a_t1    1 2716 2.54 1.01      3    2.55 1.48   1   4     3 -0.06
## anxiety_b_t1    2 2716 2.02 0.93      2    1.92 1.48   1   4     3  0.58
## anxiety_c_t1    3 2716 1.90 0.87      2    1.79 1.48   1   4     3  0.78
## anxiety_d_t1    4 2716 1.88 0.88      2    1.79 1.48   1   4     3  0.67
## anxiety_e_t1    5 2716 2.53 1.10      3    2.53 1.48   1   4     3 -0.04
##              kurtosis   se
## anxiety_a_t1    -1.10 0.02
## anxiety_b_t1    -0.57 0.02
## anxiety_c_t1    -0.05 0.02
## anxiety_d_t1    -0.43 0.02
## anxiety_e_t1    -1.31 0.02

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
anxiety_a_t1	Worry That It Will Be Difficult	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1759	0.6129813	1	3	4	2.538047	1.0109751	4	▅▁▇▁▁▇▁▅
anxiety_b_t1	Get Very Tense	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1791	0.6059406	1	2	4	2.015251	0.9304471	4	▇▁▇▁▁▅▁▂
anxiety_c_t1	Get Very Nervous	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1753	0.6143014	1	2	4	1.896490	0.8697071	4	▇▁▇▁▁▂▁▁
anxiety_d_t1	Feel Helpless	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1771	0.6103410	1	2	4	1.879236	0.8818693	4	▇▁▇▁▁▃▁▁
anxiety_e_t1	Worry About Getting Poor Grades	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1762	0.6123212	1	3	4	2.523176	1.0967331	4	▇▁▇▁▁▇▁▇

Scale: Math_Self_Concept_T1

Overview

Reliability: ω_ordinal [95% CI] = 0.92 [0.92;0.93].

Missing: 1840.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.89
Omega Psych Tot	0.9049
Omega Psych H	0.8572
Omega Ordinal	0.9213
Cronbach Alpha	0.8881
Greatest Lower Bound	0.898
Alpha Ordinal	0.9206

Positive correlations: 10 out of 10 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: selfcon_a_t1R, selfcon_b_t1, selfcon_c_t1, selfcon_d_t1, selfcon_e_t1
##               Observations: 2705
##      Positive correlations: 10 out of 10 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.89
##       Omega (hierarchical): 0.86
##    Revelle's omega (total): 0.9
## Greatest Lower Bound (GLB): 0.9
##              Coefficient H: 0.89
##           Cronbach's alpha: 0.89
## Confidence intervals:
##              Omega (total): [0.88, 0.9]
##           Cronbach's alpha: [0.88, 0.89]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 0.92
##  Ordinal Omega (hierarch.): 0.92
##   Ordinal Cronbach's alpha: 0.92
## Confidence intervals:
##      Ordinal Omega (total): [0.92, 0.93]
##   Ordinal Cronbach's alpha: [0.92, 0.93]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 3.465, 0.532, 0.402, 0.32, 0.281
## Loadings:
##               PC1  
## selfcon_a_t1R 0.857
## selfcon_b_t1  0.791
## selfcon_c_t1  0.869
## selfcon_d_t1  0.825
## selfcon_e_t1  0.818
## 
##                  PC1
## SS loadings    3.465
## Proportion Var 0.693
## 
##               vars    n mean   sd median trimmed  mad min max range  skew
## selfcon_a_t1R    1 2705 2.84 1.01      3    2.93 1.48   1   4     3 -0.47
## selfcon_b_t1     2 2705 2.77 0.90      3    2.81 1.48   1   4     3 -0.19
## selfcon_c_t1     3 2705 2.64 0.94      3    2.67 1.48   1   4     3 -0.11
## selfcon_d_t1     4 2705 2.19 1.06      2    2.12 1.48   1   4     3  0.44
## selfcon_e_t1     5 2705 2.36 0.94      2    2.33 1.48   1   4     3  0.08
##               kurtosis   se
## selfcon_a_t1R    -0.88 0.02
## selfcon_b_t1     -0.81 0.02
## selfcon_c_t1     -0.90 0.02
## selfcon_d_t1     -1.05 0.02
## selfcon_e_t1     -0.91 0.02

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
selfcon_a_t1R	Not Good at Maths (inverted item)	haven_labelled	4. Strongly disagree, 3. Disagree, 2. Agree, 1. Strongly agree	1754	0.6140814	1	3	4	2.844858	1.0071116	4	▃▁▅▁▁▇▁▇
selfcon_b_t1	Get Good Grades	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1780	0.6083608	1	3	4	2.765642	0.8958289	4	▂▁▆▁▁▇▁▅
selfcon_c_t1	Learn Quickly	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1767	0.6112211	1	3	4	2.633549	0.9406120	4	▃▁▇▁▁▇▁▅
selfcon_d_t1	One of Best Subjects	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1759	0.6129813	1	2	4	2.184853	1.0614513	4	▇▁▇▁▁▅▁▃
selfcon_e_t1	Understand Difficult Work	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1773	0.6099010	1	2	4	2.356061	0.9352105	4	▅▁▇▁▁▇▁▃

Scale: Math_Work_Ethic_T1

Overview

Reliability: ω_ordinal [95% CI] = 0.8 [0.79;0.81].

Missing: 1854.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.7561
Omega Psych Tot	0.8679
Omega Psych H	0.627
Omega Ordinal	0.7977
Cronbach Alpha	0.8108
Greatest Lower Bound	0.8796
Alpha Ordinal	0.8484

Positive correlations: 36 out of 36 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: worketh_a_t1, worketh_b_t1, worketh_c_t1, worketh_d_t1, worketh_e_t1, worketh_f_t1, worketh_g_t1, worketh_h_t1, worketh_i_t1
##               Observations: 2691
##      Positive correlations: 36 out of 36 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.76
##       Omega (hierarchical): 0.63
##    Revelle's omega (total): 0.87
## Greatest Lower Bound (GLB): 0.88
##              Coefficient H: 0.92
##           Cronbach's alpha: 0.81
## Confidence intervals:
##              Omega (total): [0.74, 0.77]
##           Cronbach's alpha: [0.8, 0.82]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 0.8
##  Ordinal Omega (hierarch.): 0.63
##   Ordinal Cronbach's alpha: 0.85
## Confidence intervals:
##      Ordinal Omega (total): [0.79, 0.81]
##   Ordinal Cronbach's alpha: [0.84, 0.86]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 3.668, 1.277, 0.999, 0.768, 0.634, 0.612, 0.502, 0.404, 0.135
## Loadings:
##              TC1    TC2   
## worketh_a_t1  0.330  0.400
## worketh_b_t1  0.274  0.550
## worketh_c_t1         0.747
## worketh_d_t1 -0.151  0.757
## worketh_e_t1         0.734
## worketh_f_t1  0.912       
## worketh_g_t1  0.913       
## worketh_h_t1  0.653  0.104
## worketh_i_t1  0.406  0.288
## 
##                  TC1   TC2
## SS loadings    2.475 2.229
## Proportion Var 0.275 0.248
## Cumulative Var 0.275 0.523
## 
##              vars    n mean   sd median trimmed  mad min max range  skew
## worketh_a_t1    1 2691 3.05 0.87      3    3.13 1.48   1   4     3 -0.58
## worketh_b_t1    2 2691 2.67 0.85      3    2.70 1.48   1   4     3 -0.12
## worketh_c_t1    3 2691 2.98 0.81      3    3.02 1.48   1   4     3 -0.36
## worketh_d_t1    4 2691 2.58 0.91      3    2.60 1.48   1   4     3  0.00
## worketh_e_t1    5 2691 2.89 0.86      3    2.94 1.48   1   4     3 -0.41
## worketh_f_t1    6 2691 3.01 0.79      3    3.06 1.48   1   4     3 -0.45
## worketh_g_t1    7 2691 3.07 0.78      3    3.13 0.00   1   4     3 -0.61
## worketh_h_t1    8 2691 2.67 0.85      3    2.68 1.48   1   4     3 -0.07
## worketh_i_t1    9 2691 2.73 0.81      3    2.74 1.48   1   4     3 -0.17
##              kurtosis   se
## worketh_a_t1    -0.43 0.02
## worketh_b_t1    -0.63 0.02
## worketh_c_t1    -0.54 0.02
## worketh_d_t1    -0.82 0.02
## worketh_e_t1    -0.47 0.02
## worketh_f_t1    -0.27 0.02
## worketh_g_t1     0.11 0.01
## worketh_h_t1    -0.66 0.02
## worketh_i_t1    -0.50 0.02

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
worketh_a_t1	Homework Completed in Time	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1731	0.6191419	1	3	4	3.061478	0.8677916	4	▁▁▃▁▁▇▁▇
worketh_b_t1	Work Hard on Homework	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1731	0.6191419	1	3	4	2.686212	0.8536584	4	▂▁▆▁▁▇▁▃
worketh_c_t1	Prepared for Exams	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1762	0.6123212	1	3	4	2.979519	0.8079032	4	▁▁▅▁▁▇▁▅
worketh_d_t1	Study Hard for Quizzes	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1735	0.6182618	1	3	4	2.595018	0.9090209	4	▂▁▇▁▁▇▁▅
worketh_e_t1	Study Until I Understand Everything	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1763	0.6121012	1	3	4	2.895399	0.8565926	4	▁▁▅▁▁▇▁▅
worketh_f_t1	Pay Attention in Classes	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1740	0.6171617	1	3	4	3.013547	0.7849069	4	▁▁▃▁▁▇▁▅
worketh_g_t1	Listen in Classes	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1733	0.6187019	1	3	4	3.068990	0.7727611	4	▁▁▂▁▁▇▁▅
worketh_h_t1	Avoid Distractions When Studying	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1736	0.6180418	1	3	4	2.680669	0.8470159	4	▂▁▇▁▁▇▁▃
worketh_i_t1	Keep Work Organized	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1752	0.6145215	1	3	4	2.722163	0.8114506	4	▁▁▆▁▁▇▁▃

Scale: Math_Intentions_T1

Overview

Reliability: ω_ordinal [95% CI] = 0.86 [0.85;0.87].

Missing: 2400.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.7468
Omega Psych Tot	0.8185
Omega Psych H	0.4831
Omega Ordinal	0.8575
Cronbach Alpha	0.7433
Greatest Lower Bound	0.8039
Alpha Ordinal	0.8535

Positive correlations: 10 out of 10 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: intent_a_t1, intent_b_t1, intent_c_t1, intent_d_t1, intent_e_t1
##               Observations: 2145
##      Positive correlations: 10 out of 10 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.75
##       Omega (hierarchical): 0.48
##    Revelle's omega (total): 0.82
## Greatest Lower Bound (GLB): 0.8
##              Coefficient H: 0.82
##           Cronbach's alpha: 0.74
## Confidence intervals:
##              Omega (total): [0.73, 0.76]
##           Cronbach's alpha: [0.73, 0.76]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 0.86
##  Ordinal Omega (hierarch.): 0.83
##   Ordinal Cronbach's alpha: 0.85
## Confidence intervals:
##      Ordinal Omega (total): [0.85, 0.87]
##   Ordinal Cronbach's alpha: [0.84, 0.86]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 2.505, 1.143, 0.507, 0.491, 0.354
## Loadings:
##             TC1    TC2   
## intent_a_t1         0.856
## intent_b_t1  0.840       
## intent_c_t1         0.865
## intent_d_t1  0.859 -0.128
## intent_e_t1  0.820  0.107
## 
##                  TC1   TC2
## SS loadings    2.117 1.512
## Proportion Var 0.423 0.302
## Cumulative Var 0.423 0.726
## 
##             vars    n mean   sd median trimmed mad min max range  skew
## intent_a_t1    1 2145 1.48 0.50      1    1.47   0   1   2     1  0.10
## intent_b_t1    2 2145 1.61 0.49      2    1.64   0   1   2     1 -0.47
## intent_c_t1    3 2145 1.40 0.49      1    1.38   0   1   2     1  0.39
## intent_d_t1    4 2145 1.56 0.50      2    1.57   0   1   2     1 -0.24
## intent_e_t1    5 2145 1.62 0.49      2    1.65   0   1   2     1 -0.50
##             kurtosis   se
## intent_a_t1    -1.99 0.01
## intent_b_t1    -1.78 0.01
## intent_c_t1    -1.85 0.01
## intent_d_t1    -1.94 0.01
## intent_e_t1    -1.75 0.01

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
intent_a_t1	Mathematics vs. Language Courses After School	haven_labelled	1. Courses after school Math, 2. Courses after school Test Language	2075	0.5434543	1	2	2	1.500405	0.5001011	2	▇▁▁▁▁▁▁▇
intent_b_t1	Mathematics vs. Science Related Major in College	haven_labelled	1. Major in college Math, 2. Major in college Science	2084	0.5414741	1	2	2	1.620886	0.4852652	2	▅▁▁▁▁▁▁▇
intent_c_t1	Study Harder in Mathematics vs. Language Classes	haven_labelled	1. Study harder Math, 2. Study harder Test Language	1982	0.5639164	1	1	2	1.411627	0.4922243	2	▇▁▁▁▁▁▁▆
intent_d_t1	Take Maximum Number of Mathematics vs. Science Classes	haven_labelled	1. Maximum classes Math, 2. Maximum classes Science	2068	0.5449945	1	2	2	1.551877	0.4974019	2	▆▁▁▁▁▁▁▇
intent_e_t1	Pursuing a Career That Involves Mathematics vs. Science	haven_labelled	1. Pursuing a career Math, 2. Pursuing a career Science	2125	0.5324532	1	2	2	1.616942	0.4862327	2	▅▁▁▁▁▁▁▇

Scale: Math_Intentions_T2

Overview

Reliability: ω_ordinal [95% CI] = 0.88 [0.87;0.89].

Missing: 1472.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.7766
Omega Psych Tot	0.8507
Omega Psych H	0.5186
Omega Ordinal	0.8812
Cronbach Alpha	0.7739
Greatest Lower Bound	0.8442
Alpha Ordinal	0.8787

Positive correlations: 10 out of 10 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: intent_a_t2, intent_b_t2, intent_c_t2, intent_d_t2, intent_e_t2
##               Observations: 3073
##      Positive correlations: 10 out of 10 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.78
##       Omega (hierarchical): 0.52
##    Revelle's omega (total): 0.85
## Greatest Lower Bound (GLB): 0.84
##              Coefficient H: 0.84
##           Cronbach's alpha: 0.77
## Confidence intervals:
##              Omega (total): [0.76, 0.79]
##           Cronbach's alpha: [0.76, 0.79]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 0.88
##  Ordinal Omega (hierarch.): 0.86
##   Ordinal Cronbach's alpha: 0.88
## Confidence intervals:
##      Ordinal Omega (total): [0.87, 0.89]
##   Ordinal Cronbach's alpha: [0.87, 0.89]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 2.662, 1.057, 0.534, 0.425, 0.322
## Loadings:
##             TC1    TC2   
## intent_a_t2         0.846
## intent_b_t2  0.838       
## intent_c_t2         0.875
## intent_d_t2  0.882 -0.113
## intent_e_t2  0.840       
## 
##                  TC1   TC2
## SS loadings    2.188 1.506
## Proportion Var 0.438 0.301
## Cumulative Var 0.438 0.739
## 
##             vars    n mean   sd median trimmed mad min max range  skew
## intent_a_t2    1 3073 1.48 0.50      1    1.47   0   1   2     1  0.08
## intent_b_t2    2 3073 1.62 0.48      2    1.66   0   1   2     1 -0.52
## intent_c_t2    3 3073 1.43 0.49      1    1.41   0   1   2     1  0.29
## intent_d_t2    4 3073 1.53 0.50      2    1.53   0   1   2     1 -0.10
## intent_e_t2    5 3073 1.62 0.48      2    1.65   0   1   2     1 -0.51
##             kurtosis   se
## intent_a_t2    -1.99 0.01
## intent_b_t2    -1.74 0.01
## intent_c_t2    -1.92 0.01
## intent_d_t2    -1.99 0.01
## intent_e_t2    -1.74 0.01

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
intent_a_t2	Mathematics vs. Language Courses After School	haven_labelled	1. Courses after school Math, 2. Courses after school Test Language	848	0.8134213	1	1	2	1.492562	0.5000123	2	▇▁▁▁▁▁▁▇
intent_b_t2	Mathematics vs. Science Related Major in College	haven_labelled	1. Major in college Math, 2. Major in college Science	857	0.8114411	1	2	2	1.628254	0.4833366	2	▅▁▁▁▁▁▁▇
intent_c_t2	Study Harder in Mathematics vs. Language Classes	haven_labelled	1. Study harder Math, 2. Study harder Test Language	571	0.8743674	1	1	2	1.445647	0.4970995	2	▇▁▁▁▁▁▁▆
intent_d_t2	Take Maximum Number of Mathematics vs. Science Classes	haven_labelled	1. Maximum classes Math, 2. Maximum classes Science	741	0.8369637	1	2	2	1.518927	0.4997073	2	▇▁▁▁▁▁▁▇
intent_e_t2	Pursuing a Career That Involves Mathematics vs. Science	haven_labelled	1. Pursuing a career Math, 2. Pursuing a career Science	877	0.8070407	1	2	2	1.598691	0.4902301	2	▆▁▁▁▁▁▁▇

Scale: Math_Behaviour_T1

Overview

Reliability: ω_ordinal [95% CI] = 0.68 [0.66;0.7].

Missing: 1799.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.5292
Omega Psych Tot	0.6243
Omega Psych H	0.3111
Omega Ordinal	0.677
Cronbach Alpha	0.5234
Greatest Lower Bound	0.6447
Alpha Ordinal	0.6784

Positive correlations: 28 out of 28 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: behav_a_t1, behav_b_t1, behav_c_t1, behav_d_t1, behav_e_t1, behav_f_t1, behav_g_t1, behav_h_t1
##               Observations: 2746
##      Positive correlations: 28 out of 28 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.53
##       Omega (hierarchical): 0.31
##    Revelle's omega (total): 0.62
## Greatest Lower Bound (GLB): 0.64
##              Coefficient H: 0.61
##           Cronbach's alpha: 0.52
## Confidence intervals:
##              Omega (total): [0.5, 0.56]
##           Cronbach's alpha: [0.5, 0.55]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 0.68
##  Ordinal Omega (hierarch.): 0.66
##   Ordinal Cronbach's alpha: 0.68
## Confidence intervals:
##      Ordinal Omega (total): [0.66, 0.7]
##   Ordinal Cronbach's alpha: [0.66, 0.7]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 1.925, 1.162, 1.054, 0.959, 0.843, 0.821, 0.668, 0.567
## Loadings:
##            TC1    TC3    TC2   
## behav_a_t1  0.622              
## behav_b_t1  0.738              
## behav_c_t1  0.437  0.599 -0.102
## behav_d_t1  0.483 -0.105  0.378
## behav_e_t1         0.832       
## behav_f_t1  0.213 -0.145  0.701
## behav_g_t1 -0.113  0.117  0.620
## behav_h_t1 -0.270  0.482  0.462
## 
##                  TC1   TC3   TC2
## SS loadings    1.487 1.342 1.244
## Proportion Var 0.186 0.168 0.156
## Cumulative Var 0.186 0.354 0.509
## 
##            vars    n mean   sd median trimmed  mad min max range skew
## behav_a_t1    1 2746 1.81 0.74      2    1.73 1.48   1   4     3 0.63
## behav_b_t1    2 2746 2.08 0.85      2    2.04 1.48   1   4     3 0.37
## behav_c_t1    3 2746 1.93 0.77      2    1.88 1.48   1   4     3 0.48
## behav_d_t1    4 2746 1.26 0.65      1    1.09 0.00   1   4     3 2.72
## behav_e_t1    5 2746 1.33 0.58      1    1.22 0.00   1   4     3 1.84
## behav_f_t1    6 2746 1.47 0.78      1    1.29 0.00   1   4     3 1.71
## behav_g_t1    7 2746 1.44 0.79      1    1.26 0.00   1   4     3 1.75
## behav_h_t1    8 2746 1.06 0.32      1    1.00 0.00   1   4     3 6.79
##            kurtosis   se
## behav_a_t1    -0.02 0.01
## behav_b_t1    -0.57 0.02
## behav_c_t1    -0.25 0.01
## behav_d_t1     7.04 0.01
## behav_e_t1     3.42 0.01
## behav_f_t1     2.29 0.01
## behav_g_t1     2.19 0.01
## behav_h_t1    50.88 0.01

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
behav_a_t1	Talk about Maths with Friends	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	1734	0.6184818	1	2	4	1.810744	0.7425347	4	▆▁▇▁▁▂▁▁
behav_b_t1	Help Friends with Maths	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	1725	0.6204620	1	2	4	2.091844	0.8559233	4	▅▁▇▁▁▅▁▁
behav_c_t1	Extracurricular Activity	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	1748	0.6154015	1	2	4	1.933858	0.7725540	4	▅▁▇▁▁▃▁▁
behav_d_t1	Participate in Competitions	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	1729	0.6195820	1	1	4	1.266690	0.6525576	4	▇▁▁▁▁▁▁▁
behav_e_t1	Study More Than 2 Extra Hours a Day	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	1732	0.6189219	1	1	4	1.329541	0.5859653	4	▇▁▂▁▁▁▁▁
behav_f_t1	Play Chess	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	1737	0.6178218	1	1	4	1.471154	0.7831644	4	▇▁▂▁▁▁▁▁
behav_g_t1	Computer programming	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	1733	0.6187019	1	1	4	1.442390	0.7821531	4	▇▁▂▁▁▁▁▁
behav_h_t1	Participate in Math Club	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	1729	0.6195820	1	1	4	1.056108	0.3193771	4	▇▁▁▁▁▁▁▁

Scale: Math_Behaviour_T2

Overview

Reliability: ω_ordinal [95% CI] = 0.79 [0.78;0.8].

Missing: 126.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.6687
Omega Psych Tot	0.7584
Omega Psych H	0.4571
Omega Ordinal	0.7865
Cronbach Alpha	0.6645
Greatest Lower Bound	0.7617
Alpha Ordinal	0.7876

Positive correlations: 28 out of 28 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: behav_a_t2, behav_b_t2, behav_c_t2, behav_d_t2, behav_e_t2, behav_f_t2, behav_g_t2, behav_h_t2
##               Observations: 4419
##      Positive correlations: 28 out of 28 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.67
##       Omega (hierarchical): 0.46
##    Revelle's omega (total): 0.76
## Greatest Lower Bound (GLB): 0.76
##              Coefficient H: 0.7
##           Cronbach's alpha: 0.66
## Confidence intervals:
##              Omega (total): [0.65, 0.68]
##           Cronbach's alpha: [0.65, 0.68]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 0.79
##  Ordinal Omega (hierarch.): 0.77
##   Ordinal Cronbach's alpha: 0.79
## Confidence intervals:
##      Ordinal Omega (total): [0.78, 0.8]
##   Ordinal Cronbach's alpha: [0.78, 0.8]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 2.53, 1.239, 0.909, 0.846, 0.754, 0.652, 0.554, 0.516
## Loadings:
##            TC1    TC2   
## behav_a_t2  0.712       
## behav_b_t2  0.561       
## behav_c_t2  0.802       
## behav_d_t2  0.118  0.652
## behav_e_t2  0.671       
## behav_f_t2 -0.110  0.686
## behav_g_t2         0.587
## behav_h_t2         0.725
## 
##                  TC1   TC2
## SS loadings    1.943 1.786
## Proportion Var 0.243 0.223
## Cumulative Var 0.243 0.466
## 
##            vars    n mean   sd median trimmed  mad min max range skew
## behav_a_t2    1 4419 1.73 0.75      2    1.63 1.48   1   4     3 0.89
## behav_b_t2    2 4419 2.07 0.84      2    2.01 1.48   1   4     3 0.44
## behav_c_t2    3 4419 1.94 0.82      2    1.88 1.48   1   4     3 0.56
## behav_d_t2    4 4419 1.21 0.60      1    1.05 0.00   1   4     3 3.22
## behav_e_t2    5 4419 1.34 0.60      1    1.23 0.00   1   4     3 1.97
## behav_f_t2    6 4419 1.47 0.79      1    1.29 0.00   1   4     3 1.67
## behav_g_t2    7 4419 1.46 0.83      1    1.27 0.00   1   4     3 1.74
## behav_h_t2    8 4419 1.08 0.41      1    1.00 0.00   1   4     3 5.92
##            kurtosis   se
## behav_a_t2     0.58 0.01
## behav_b_t2    -0.37 0.01
## behav_c_t2    -0.24 0.01
## behav_d_t2    10.40 0.01
## behav_e_t2     4.32 0.01
## behav_f_t2     1.97 0.01
## behav_g_t2     2.01 0.01
## behav_h_t2    36.19 0.01

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
behav_a_t2	Talk about Maths with Friends	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	31	0.9931793	1	2	4	1.734382	0.7520596	4	▇▁▇▁▁▂▁▁
behav_b_t2	Help Friends with Maths	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	34	0.9925193	1	2	4	2.064952	0.8373182	4	▅▁▇▁▁▃▁▁
behav_c_t2	Extracurricular Activity	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	45	0.9900990	1	2	4	1.946444	0.8176880	4	▆▁▇▁▁▃▁▁
behav_d_t2	Participate in Competitions	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	46	0.9898790	1	1	4	1.215159	0.6056144	4	▇▁▁▁▁▁▁▁
behav_e_t2	Study More Than 2 Extra Hours a Day	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	29	0.9936194	1	1	4	1.341895	0.6063732	4	▇▁▃▁▁▁▁▁
behav_f_t2	Play Chess	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	35	0.9922992	1	1	4	1.472284	0.7967047	4	▇▁▂▁▁▁▁▁
behav_g_t2	Computer programming	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	33	0.9927393	1	1	4	1.464982	0.8311796	4	▇▁▂▁▁▁▁▁
behav_h_t2	Participate in Math Club	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	47	0.9896590	1	1	4	1.087817	0.4368791	4	▇▁▁▁▁▁▁▁

Scale: Math_Teaching_T1

Overview

Reliability: ω_ordinal [95% CI] = 0.88 [0.87;0.89].

Missing: 1770.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.8454
Omega Psych Tot	0.8567
Omega Psych H	0.82
Omega Ordinal	0.8801
Cronbach Alpha	0.8421
Greatest Lower Bound	0.8655
Alpha Ordinal	0.8767

Positive correlations: 10 out of 10 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: teach_a_t1, teach_b_t1, teach_c_t1, teach_d_t1, teach_e_t1
##               Observations: 2775
##      Positive correlations: 10 out of 10 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.85
##       Omega (hierarchical): 0.82
##    Revelle's omega (total): 0.86
## Greatest Lower Bound (GLB): 0.87
##              Coefficient H: 0.87
##           Cronbach's alpha: 0.84
## Confidence intervals:
##              Omega (total): [0.84, 0.85]
##           Cronbach's alpha: [0.83, 0.85]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 0.88
##  Ordinal Omega (hierarch.): 0.88
##   Ordinal Cronbach's alpha: 0.88
## Confidence intervals:
##      Ordinal Omega (total): [0.87, 0.89]
##   Ordinal Cronbach's alpha: [0.87, 0.88]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 3.085, 0.63, 0.521, 0.442, 0.321
## Loadings:
##            PC1  
## teach_a_t1 0.718
## teach_b_t1 0.868
## teach_c_t1 0.802
## teach_d_t1 0.805
## teach_e_t1 0.723
## 
##                  PC1
## SS loadings    3.085
## Proportion Var 0.617
## 
##            vars    n mean   sd median trimmed  mad min max range  skew
## teach_a_t1    1 2775 2.40 0.96      2    2.37 1.48   1   4     3  0.08
## teach_b_t1    2 2775 2.93 1.00      3    3.04 1.48   1   4     3 -0.47
## teach_c_t1    3 2775 2.58 0.99      3    2.60 1.48   1   4     3 -0.05
## teach_d_t1    4 2775 2.78 1.05      3    2.85 1.48   1   4     3 -0.32
## teach_e_t1    5 2775 2.60 1.08      3    2.63 1.48   1   4     3 -0.10
##            kurtosis   se
## teach_a_t1    -0.96 0.02
## teach_b_t1    -0.93 0.02
## teach_c_t1    -1.04 0.02
## teach_d_t1    -1.13 0.02
## teach_e_t1    -1.28 0.02

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
teach_a_t1	Teacher shows interest	haven_labelled	1. Never or Hardly Ever, 2. Some Lessons, 3. Most Lessons, 4. Every Lesson	1750	0.6149615	1	2	4	2.399284	0.9610151	4	▅▁▇▁▁▇▁▃
teach_b_t1	Extra help	haven_labelled	1. Never or Hardly Ever, 2. Some Lessons, 3. Most Lessons, 4. Every Lesson	1750	0.6149615	1	3	4	2.935242	0.9973621	4	▂▁▅▁▁▆▁▇
teach_c_t1	Teacher helps	haven_labelled	1. Never or Hardly Ever, 2. Some Lessons, 3. Most Lessons, 4. Every Lesson	1753	0.6143014	1	3	4	2.582020	0.9870566	4	▃▁▇▁▁▇▁▅
teach_d_t1	Teacher continues	haven_labelled	1. Never or Hardly Ever, 2. Some Lessons, 3. Most Lessons, 4. Every Lesson	1733	0.6187019	1	3	4	2.780583	1.0504221	4	▃▁▆▁▁▇▁▇
teach_e_t1	Express opinions	haven_labelled	1. Never or Hardly Ever, 2. Some Lessons, 3. Most Lessons, 4. Every Lesson	1730	0.6193619	1	3	4	2.602487	1.0826181	4	▆▁▇▁▁▇▁▇

Scale: Math_Teaching_T2

Overview

Reliability: ω_ordinal [95% CI] = 0.91 [0.9;0.91].

Missing: 130.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.8771
Omega Psych Tot	0.893
Omega Psych H	0.8014
Omega Ordinal	0.9091
Cronbach Alpha	0.8766
Greatest Lower Bound	0.8764
Alpha Ordinal	0.9082

Positive correlations: 10 out of 10 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: teach_a_t2, teach_b_t2, teach_c_t2, teach_d_t2, teach_e_t2
##               Observations: 4415
##      Positive correlations: 10 out of 10 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.88
##       Omega (hierarchical): 0.8
##    Revelle's omega (total): 0.89
## Greatest Lower Bound (GLB): 0.88
##              Coefficient H: 0.89
##           Cronbach's alpha: 0.88
## Confidence intervals:
##              Omega (total): [0.87, 0.88]
##           Cronbach's alpha: [0.87, 0.88]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 0.91
##  Ordinal Omega (hierarch.): 0.91
##   Ordinal Cronbach's alpha: 0.91
## Confidence intervals:
##      Ordinal Omega (total): [0.9, 0.91]
##   Ordinal Cronbach's alpha: [0.9, 0.91]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 3.36, 0.547, 0.425, 0.369, 0.299
## Loadings:
##            PC1  
## teach_a_t2 0.805
## teach_b_t2 0.872
## teach_c_t2 0.830
## teach_d_t2 0.821
## teach_e_t2 0.768
## 
##                  PC1
## SS loadings    3.360
## Proportion Var 0.672
## 
##            vars    n mean   sd median trimmed  mad min max range  skew
## teach_a_t2    1 4415 2.36 0.96      2    2.32 1.48   1   4     3  0.15
## teach_b_t2    2 4415 2.91 0.97      3    3.01 1.48   1   4     3 -0.46
## teach_c_t2    3 4415 2.57 1.00      3    2.59 1.48   1   4     3 -0.08
## teach_d_t2    4 4415 2.71 1.04      3    2.76 1.48   1   4     3 -0.24
## teach_e_t2    5 4415 2.66 1.04      3    2.69 1.48   1   4     3 -0.20
##            kurtosis   se
## teach_a_t2    -0.94 0.01
## teach_b_t2    -0.81 0.01
## teach_c_t2    -1.05 0.02
## teach_d_t2    -1.14 0.02
## teach_e_t2    -1.13 0.02

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
teach_a_t2	Teacher shows interest	haven_labelled	1. Never or Hardly Ever, 2. Some Lessons, 3. Most Lessons, 4. Every Lesson	68	0.9850385	1	2	4	2.355148	0.9600270	4	▅▁▇▁▁▇▁▃
teach_b_t2	Extra help	haven_labelled	1. Never or Hardly Ever, 2. Some Lessons, 3. Most Lessons, 4. Every Lesson	54	0.9881188	1	3	4	2.909597	0.9663949	4	▂▁▅▁▁▇▁▇
teach_c_t2	Teacher helps	haven_labelled	1. Never or Hardly Ever, 2. Some Lessons, 3. Most Lessons, 4. Every Lesson	76	0.9832783	1	3	4	2.575073	0.9946211	4	▅▁▇▁▁▇▁▅
teach_d_t2	Teacher continues	haven_labelled	1. Never or Hardly Ever, 2. Some Lessons, 3. Most Lessons, 4. Every Lesson	62	0.9863586	1	3	4	2.709792	1.0410409	4	▅▁▆▁▁▇▁▇
teach_e_t2	Express opinions	haven_labelled	1. Never or Hardly Ever, 2. Some Lessons, 3. Most Lessons, 4. Every Lesson	58	0.9872387	1	3	4	2.657678	1.0365794	4	▅▁▆▁▁▇▁▆

Scale: Cognitive_Activation_T1

Overview

Reliability: ω_ordinal [95% CI] = 0.73 [0.72;0.75].

Missing: 1811.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.6904
Omega Psych Tot	0.7284
Omega Psych H	0.5301
Omega Ordinal	0.7323
Cronbach Alpha	0.6865
Greatest Lower Bound	0.7409
Alpha Ordinal	0.7292

Positive correlations: 36 out of 36 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: cognact_a_t1, cognact_b_t1, cognact_c_t1, cognact_d_t1, cognact_e_t1, cognact_f_t1, cognact_g_t1, cognact_h_t1, cognact_i_t1
##               Observations: 2734
##      Positive correlations: 36 out of 36 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.69
##       Omega (hierarchical): 0.53
##    Revelle's omega (total): 0.73
## Greatest Lower Bound (GLB): 0.74
##              Coefficient H: 0.71
##           Cronbach's alpha: 0.69
## Confidence intervals:
##              Omega (total): [0.67, 0.71]
##           Cronbach's alpha: [0.67, 0.7]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 0.73
##  Ordinal Omega (hierarch.): 0.73
##   Ordinal Cronbach's alpha: 0.73
## Confidence intervals:
##      Ordinal Omega (total): [0.72, 0.75]
##   Ordinal Cronbach's alpha: [0.71, 0.74]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 2.628, 1.071, 0.994, 0.894, 0.783, 0.744, 0.68, 0.627, 0.579
## Loadings:
##              TC1    TC2   
## cognact_a_t1  0.667       
## cognact_b_t1  0.277  0.625
## cognact_c_t1  0.470  0.151
## cognact_d_t1         0.875
## cognact_e_t1  0.647       
## cognact_f_t1  0.687 -0.160
## cognact_g_t1  0.491       
## cognact_h_t1  0.588       
## cognact_i_t1  0.393  0.180
## 
##                  TC1   TC2
## SS loadings    2.381 1.243
## Proportion Var 0.265 0.138
## Cumulative Var 0.265 0.403
## 
##              vars    n mean   sd median trimmed  mad min max range  skew
## cognact_a_t1    1 2734 2.44 0.87      2    2.42 1.48   1   4     3  0.12
## cognact_b_t1    2 2734 2.67 0.78      3    2.67 1.48   1   4     3 -0.13
## cognact_c_t1    3 2734 2.39 0.96      2    2.36 1.48   1   4     3  0.10
## cognact_d_t1    4 2734 2.38 0.88      2    2.35 1.48   1   4     3  0.16
## cognact_e_t1    5 2734 2.67 0.86      3    2.71 1.48   1   4     3 -0.21
## cognact_f_t1    6 2734 2.61 0.94      3    2.63 1.48   1   4     3 -0.09
## cognact_g_t1    7 2734 3.15 0.81      3    3.23 1.48   1   4     3 -0.60
## cognact_h_t1    8 2734 2.90 0.82      3    2.93 1.48   1   4     3 -0.28
## cognact_i_t1    9 2734 2.59 0.87      3    2.61 1.48   1   4     3  0.01
##              kurtosis   se
## cognact_a_t1    -0.66 0.02
## cognact_b_t1    -0.40 0.01
## cognact_c_t1    -0.94 0.02
## cognact_d_t1    -0.67 0.02
## cognact_e_t1    -0.60 0.02
## cognact_f_t1    -0.90 0.02
## cognact_g_t1    -0.43 0.02
## cognact_h_t1    -0.59 0.02
## cognact_i_t1    -0.71 0.02

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
cognact_a_t1	Teacher Encourages to Reflect Problems	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	1745	0.6160616	1	2	4	2.432857	0.8672883	4	▂▁▇▁▁▆▁▂
cognact_b_t1	Gives Problems that Require to Think	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	1745	0.6160616	1	3	4	2.672143	0.7818564	4	▁▁▆▁▁▇▁▂
cognact_c_t1	Asks to Use Own Procedures	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	1746	0.6158416	1	2	4	2.394069	0.9588275	4	▅▁▇▁▁▇▁▃
cognact_d_t1	Presents Problems with No Obvious Solutions	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	1747	0.6156216	1	2	4	2.381344	0.8771737	4	▃▁▇▁▁▆▁▂
cognact_e_t1	Presents Problems in Different Contexts	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	1764	0.6118812	1	3	4	2.666667	0.8649864	4	▂▁▆▁▁▇▁▃
cognact_f_t1	Helps Learn from Mistakes	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	1758	0.6132013	1	3	4	2.608899	0.9453288	4	▃▁▇▁▁▇▁▅
cognact_g_t1	Asks for Explanations	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	1769	0.6107811	1	3	4	3.150937	0.8115734	4	▁▁▃▁▁▇▁▇
cognact_h_t1	Apply What We Learned	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	1759	0.6129813	1	3	4	2.904523	0.8226164	4	▁▁▅▁▁▇▁▅
cognact_i_t1	Problems with Multiple Solutions	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	1761	0.6125413	1	3	4	2.588003	0.8687573	4	▂▁▇▁▁▇▁▃

Scale: Cognitive_Activation_T2

Overview

Reliability: ω_ordinal [95% CI] = 0.83 [0.82;0.84].

Missing: 238.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.7938
Omega Psych Tot	0.8179
Omega Psych H	0.6978
Omega Ordinal	0.8305
Cronbach Alpha	0.7919
Greatest Lower Bound	0.8202
Alpha Ordinal	0.829

Positive correlations: 36 out of 36 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: cognact_a_t2, cognact_b_t2, cognact_c_t2, cognact_d_t2, cognact_e_t2, cognact_f_t2, cognact_g_t2, cognact_h_t2, cognact_i_t2
##               Observations: 4307
##      Positive correlations: 36 out of 36 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.79
##       Omega (hierarchical): 0.7
##    Revelle's omega (total): 0.82
## Greatest Lower Bound (GLB): 0.82
##              Coefficient H: 0.8
##           Cronbach's alpha: 0.79
## Confidence intervals:
##              Omega (total): [0.78, 0.8]
##           Cronbach's alpha: [0.78, 0.8]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 0.83
##  Ordinal Omega (hierarch.): 0.83
##   Ordinal Cronbach's alpha: 0.83
## Confidence intervals:
##      Ordinal Omega (total): [0.82, 0.84]
##   Ordinal Cronbach's alpha: [0.82, 0.84]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 3.41, 0.92, 0.848, 0.748, 0.726, 0.664, 0.642, 0.535, 0.506
## Loadings:
##              PC1  
## cognact_a_t2 0.658
## cognact_b_t2 0.647
## cognact_c_t2 0.589
## cognact_d_t2 0.510
## cognact_e_t2 0.701
## cognact_f_t2 0.636
## cognact_g_t2 0.568
## cognact_h_t2 0.661
## cognact_i_t2 0.543
## 
##                  PC1
## SS loadings    3.410
## Proportion Var 0.379
## 
##              vars    n mean   sd median trimmed  mad min max range  skew
## cognact_a_t2    1 4307 2.64 0.89      3    2.67 1.48   1   4     3 -0.07
## cognact_b_t2    2 4307 2.78 0.79      3    2.80 1.48   1   4     3 -0.27
## cognact_c_t2    3 4307 2.62 0.90      3    2.65 1.48   1   4     3 -0.09
## cognact_d_t2    4 4307 2.49 0.86      2    2.48 1.48   1   4     3  0.10
## cognact_e_t2    5 4307 2.73 0.86      3    2.77 1.48   1   4     3 -0.30
## cognact_f_t2    6 4307 2.65 0.95      3    2.68 1.48   1   4     3 -0.17
## cognact_g_t2    7 4307 3.18 0.85      3    3.28 1.48   1   4     3 -0.76
## cognact_h_t2    8 4307 2.88 0.81      3    2.91 1.48   1   4     3 -0.30
## cognact_i_t2    9 4307 2.62 0.83      3    2.63 1.48   1   4     3 -0.02
##              kurtosis   se
## cognact_a_t2    -0.76 0.01
## cognact_b_t2    -0.34 0.01
## cognact_c_t2    -0.77 0.01
## cognact_d_t2    -0.63 0.01
## cognact_e_t2    -0.54 0.01
## cognact_f_t2    -0.88 0.01
## cognact_g_t2    -0.21 0.01
## cognact_h_t2    -0.45 0.01
## cognact_i_t2    -0.61 0.01

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
cognact_a_t2	Teacher Encourages to Reflect Problems	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	54	0.9881188	1	3	4	2.641728	0.8847307	4	▂▁▇▁▁▇▁▃
cognact_b_t2	Gives Problems that Require to Think	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	57	0.9874587	1	3	4	2.782754	0.7957410	4	▁▁▅▁▁▇▁▃
cognact_c_t2	Asks to Use Own Procedures	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	39	0.9914191	1	3	4	2.617177	0.8989611	4	▂▁▇▁▁▇▁▃
cognact_d_t2	Presents Problems with No Obvious Solutions	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	44	0.9903190	1	2	4	2.489002	0.8582548	4	▂▁▇▁▁▇▁▂
cognact_e_t2	Presents Problems in Different Contexts	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	44	0.9903190	1	3	4	2.727616	0.8664176	4	▂▁▅▁▁▇▁▃
cognact_f_t2	Helps Learn from Mistakes	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	46	0.9898790	1	3	4	2.649033	0.9445290	4	▃▁▆▁▁▇▁▅
cognact_g_t2	Asks for Explanations	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	45	0.9900990	1	3	4	3.187111	0.8444809	4	▁▁▃▁▁▇▁▇
cognact_h_t2	Apply What We Learned	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	43	0.9905391	1	3	4	2.885606	0.8049071	4	▁▁▅▁▁▇▁▃
cognact_i_t2	Problems with Multiple Solutions	haven_labelled	1. Never or rarely, 2. Sometimes, 3. Often, 4. Always or almost always	65	0.9856986	1	3	4	2.620536	0.8344704	4	▂▁▇▁▁▇▁▃

Scale: Disciplinary_Climate_T1

Overview

Reliability: ω_ordinal [95% CI] = 0.92 [0.92;0.93].

Missing: 1782.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.8982
Omega Psych Tot	0.9067
Omega Psych H	0.8698
Omega Ordinal	0.9229
Cronbach Alpha	0.8956
Greatest Lower Bound	0.9005
Alpha Ordinal	0.9213

Positive correlations: 10 out of 10 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: discpline_a_t1, discpline_b_t1, discpline_c_t1, discpline_d_t1, discpline_e_t1
##               Observations: 2763
##      Positive correlations: 10 out of 10 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.9
##       Omega (hierarchical): 0.87
##    Revelle's omega (total): 0.91
## Greatest Lower Bound (GLB): 0.9
##              Coefficient H: 0.91
##           Cronbach's alpha: 0.9
## Confidence intervals:
##              Omega (total): [0.89, 0.9]
##           Cronbach's alpha: [0.89, 0.9]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 0.92
##  Ordinal Omega (hierarch.): 0.92
##   Ordinal Cronbach's alpha: 0.92
## Confidence intervals:
##      Ordinal Omega (total): [0.92, 0.93]
##   Ordinal Cronbach's alpha: [0.92, 0.93]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 3.529, 0.512, 0.371, 0.334, 0.255
## Loadings:
##                PC1  
## discpline_a_t1 0.783
## discpline_b_t1 0.894
## discpline_c_t1 0.867
## discpline_d_t1 0.818
## discpline_e_t1 0.835
## 
##                  PC1
## SS loadings    3.529
## Proportion Var 0.706
## 
##                vars    n mean   sd median trimmed  mad min max range skew
## discpline_a_t1    1 2763 2.27 0.88      2    2.22 1.48   1   4     3 0.43
## discpline_b_t1    2 2763 2.07 0.97      2    1.96 1.48   1   4     3 0.54
## discpline_c_t1    3 2763 2.18 0.96      2    2.09 1.48   1   4     3 0.41
## discpline_d_t1    4 2763 1.96 0.92      2    1.85 1.48   1   4     3 0.66
## discpline_e_t1    5 2763 1.98 0.98      2    1.86 1.48   1   4     3 0.63
##                kurtosis   se
## discpline_a_t1    -0.46 0.02
## discpline_b_t1    -0.71 0.02
## discpline_c_t1    -0.80 0.02
## discpline_d_t1    -0.48 0.02
## discpline_e_t1    -0.70 0.02

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
discpline_a_t1	Students Don’t Listen	haven_labelled	1. Never or Hardly Ever, 2. Some Lessons, 3. Most Lessons, 4. Every Lesson	1748	0.6154015	1	2	4	2.271362	0.8811806	4	▃▁▇▁▁▃▁▂
discpline_b_t1	Noise and Disorder	haven_labelled	1. Never or Hardly Ever, 2. Some Lessons, 3. Most Lessons, 4. Every Lesson	1734	0.6184818	1	2	4	2.070082	0.9698651	4	▇▁▇▁▁▅▁▂
discpline_c_t1	Teacher Has to Wait Until its Quiet	haven_labelled	1. Never or Hardly Ever, 2. Some Lessons, 3. Most Lessons, 4. Every Lesson	1743	0.6165017	1	2	4	2.175232	0.9614046	4	▆▁▇▁▁▅▁▂
discpline_d_t1	Students Don’t Work Well	haven_labelled	1. Never or Hardly Ever, 2. Some Lessons, 3. Most Lessons, 4. Every Lesson	1753	0.6143014	1	2	4	1.953797	0.9228653	4	▇▁▇▁▁▃▁▂
discpline_e_t1	Students Start Working Late	haven_labelled	1. Never or Hardly Ever, 2. Some Lessons, 3. Most Lessons, 4. Every Lesson	1754	0.6140814	1	2	4	1.973128	0.9755037	4	▇▁▆▁▁▃▁▂

Scale: Disciplinary_Climate_T2

Overview

Reliability: ω_ordinal [95% CI] = 0.93 [0.93;0.93].

Missing: 122.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.903
Omega Psych Tot	0.9089
Omega Psych H	0.8809
Omega Ordinal	0.9298
Cronbach Alpha	0.901
Greatest Lower Bound	0.908
Alpha Ordinal	0.9287

Positive correlations: 10 out of 10 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: discpline_a_t2, discpline_b_t2, discpline_c_t2, discpline_d_t2, discpline_e_t2
##               Observations: 4423
##      Positive correlations: 10 out of 10 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.9
##       Omega (hierarchical): 0.88
##    Revelle's omega (total): 0.91
## Greatest Lower Bound (GLB): 0.91
##              Coefficient H: 0.91
##           Cronbach's alpha: 0.9
## Confidence intervals:
##              Omega (total): [0.9, 0.91]
##           Cronbach's alpha: [0.9, 0.91]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 0.93
##  Ordinal Omega (hierarch.): 0.93
##   Ordinal Cronbach's alpha: 0.93
## Confidence intervals:
##      Ordinal Omega (total): [0.93, 0.93]
##   Ordinal Cronbach's alpha: [0.93, 0.93]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 3.589, 0.472, 0.383, 0.305, 0.251
## Loadings:
##                PC1  
## discpline_a_t2 0.796
## discpline_b_t2 0.883
## discpline_c_t2 0.888
## discpline_d_t2 0.848
## discpline_e_t2 0.818
## 
##                  PC1
## SS loadings    3.589
## Proportion Var 0.718
## 
##                vars    n mean   sd median trimmed  mad min max range skew
## discpline_a_t2    1 4423 2.23 0.88      2    2.16 1.48   1   4     3 0.43
## discpline_b_t2    2 4423 1.96 0.94      2    1.85 1.48   1   4     3 0.69
## discpline_c_t2    3 4423 2.02 0.98      2    1.90 1.48   1   4     3 0.62
## discpline_d_t2    4 4423 1.97 0.96      2    1.85 1.48   1   4     3 0.68
## discpline_e_t2    5 4423 1.97 1.00      2    1.84 1.48   1   4     3 0.69
##                kurtosis   se
## discpline_a_t2    -0.45 0.01
## discpline_b_t2    -0.46 0.01
## discpline_c_t2    -0.64 0.01
## discpline_d_t2    -0.56 0.01
## discpline_e_t2    -0.67 0.02

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
discpline_a_t2	Students Don’t Listen	haven_labelled	1. Never or Hardly Ever, 2. Some Lessons, 3. Most Lessons, 4. Every Lesson	30	0.9933993	1	2	4	2.227907	0.8770803	4	▃▁▇▁▁▃▁▂
discpline_b_t2	Noise and Disorder	haven_labelled	1. Never or Hardly Ever, 2. Some Lessons, 3. Most Lessons, 4. Every Lesson	44	0.9903190	1	2	4	1.955343	0.9380860	4	▇▁▇▁▁▃▁▂
discpline_c_t2	Teacher Has to Wait Until its Quiet	haven_labelled	1. Never or Hardly Ever, 2. Some Lessons, 3. Most Lessons, 4. Every Lesson	60	0.9867987	1	2	4	2.018283	0.9754457	4	▇▁▇▁▁▃▁▂
discpline_d_t2	Students Don’t Work Well	haven_labelled	1. Never or Hardly Ever, 2. Some Lessons, 3. Most Lessons, 4. Every Lesson	42	0.9907591	1	2	4	1.972685	0.9612252	4	▇▁▇▁▁▃▁▂
discpline_e_t2	Students Start Working Late	haven_labelled	1. Never or Hardly Ever, 2. Some Lessons, 3. Most Lessons, 4. Every Lesson	51	0.9887789	1	2	4	1.975745	0.9997057	4	▇▁▆▁▁▃▁▂

Scale: Student_Teacher_Relations_T1

Overview

Reliability: ω_ordinal [95% CI] = 0.81 [0.79;0.82].

Missing: 1798.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.7612
Omega Psych Tot	0.795
Omega Psych H	0.6977
Omega Ordinal	0.8057
Cronbach Alpha	0.7568
Greatest Lower Bound	0.7957
Alpha Ordinal	0.8024

Positive correlations: 10 out of 10 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: relation_a_t1, relation_b_t1, relation_c_t1, relation_d_t1, relation_e_t1
##               Observations: 2747
##      Positive correlations: 10 out of 10 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.76
##       Omega (hierarchical): 0.7
##    Revelle's omega (total): 0.79
## Greatest Lower Bound (GLB): 0.8
##              Coefficient H: 0.78
##           Cronbach's alpha: 0.76
## Confidence intervals:
##              Omega (total): [0.75, 0.78]
##           Cronbach's alpha: [0.74, 0.77]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 0.81
##  Ordinal Omega (hierarch.): 0.81
##   Ordinal Cronbach's alpha: 0.8
## Confidence intervals:
##      Ordinal Omega (total): [0.79, 0.82]
##   Ordinal Cronbach's alpha: [0.79, 0.81]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 2.552, 0.803, 0.65, 0.544, 0.45
## Loadings:
##               PC1  
## relation_a_t1 0.665
## relation_b_t1 0.781
## relation_c_t1 0.765
## relation_d_t1 0.624
## relation_e_t1 0.724
## 
##                  PC1
## SS loadings    2.552
## Proportion Var 0.510
## 
##               vars    n mean   sd median trimmed  mad min max range  skew
## relation_a_t1    1 2747 2.95 0.69      3    2.97 0.00   1   4     3 -0.44
## relation_b_t1    2 2747 2.79 0.79      3    2.81 0.00   1   4     3 -0.29
## relation_c_t1    3 2747 2.76 0.75      3    2.77 0.00   1   4     3 -0.36
## relation_d_t1    4 2747 2.82 0.80      3    2.85 1.48   1   4     3 -0.30
## relation_e_t1    5 2747 3.01 0.81      3    3.08 0.00   1   4     3 -0.65
##               kurtosis   se
## relation_a_t1     0.41 0.01
## relation_b_t1    -0.30 0.02
## relation_c_t1    -0.03 0.01
## relation_d_t1    -0.36 0.02
## relation_e_t1     0.13 0.02

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
relation_a_t1	Get Along with Teachers	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1754	0.6140814	1	3	4	2.946614	0.6875872	4	▁▁▂▁▁▇▁▂
relation_b_t1	Teachers Are Interested	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1744	0.6162816	1	3	4	2.789004	0.7847432	4	▁▁▅▁▁▇▁▃
relation_c_t1	Teachers Listen to Students	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1736	0.6180418	1	3	4	2.760413	0.7452982	4	▁▁▃▁▁▇▁▂
relation_d_t1	Teachers Help Students	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1732	0.6189219	1	3	4	2.824031	0.7996033	4	▁▁▅▁▁▇▁▃
relation_e_t1	Teachers Treat Students Fair	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1734	0.6184818	1	3	4	3.005692	0.8025557	4	▁▁▂▁▁▇▁▅

Scale: Student_Teacher_Relations_T2

Overview

Reliability: ω_ordinal [95% CI] = 0.86 [0.85;0.86].

Missing: 195.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.8162
Omega Psych Tot	0.837
Omega Psych H	0.7778
Omega Ordinal	0.8551
Cronbach Alpha	0.8137
Greatest Lower Bound	0.8095
Alpha Ordinal	0.8524

Positive correlations: 10 out of 10 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: relation_a_t2, relation_b_t2, relation_c_t2, relation_d_t2, relation_e_t2
##               Observations: 4350
##      Positive correlations: 10 out of 10 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.82
##       Omega (hierarchical): 0.78
##    Revelle's omega (total): 0.84
## Greatest Lower Bound (GLB): 0.81
##              Coefficient H: 0.83
##           Cronbach's alpha: 0.81
## Confidence intervals:
##              Omega (total): [0.81, 0.82]
##           Cronbach's alpha: [0.8, 0.82]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 0.86
##  Ordinal Omega (hierarch.): 0.86
##   Ordinal Cronbach's alpha: 0.85
## Confidence intervals:
##      Ordinal Omega (total): [0.85, 0.86]
##   Ordinal Cronbach's alpha: [0.85, 0.86]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 2.883, 0.644, 0.632, 0.462, 0.379
## Loadings:
##               PC1  
## relation_a_t2 0.753
## relation_b_t2 0.820
## relation_c_t2 0.813
## relation_d_t2 0.691
## relation_e_t2 0.712
## 
##                  PC1
## SS loadings    2.883
## Proportion Var 0.577
## 
##               vars    n mean   sd median trimmed  mad min max range  skew
## relation_a_t2    1 4350 2.89 0.73      3    2.91 0.00   1   4     3 -0.52
## relation_b_t2    2 4350 2.68 0.79      3    2.70 1.48   1   4     3 -0.27
## relation_c_t2    3 4350 2.70 0.81      3    2.72 1.48   1   4     3 -0.32
## relation_d_t2    4 4350 2.74 0.83      3    2.77 1.48   1   4     3 -0.31
## relation_e_t2    5 4350 2.87 0.82      3    2.92 0.00   1   4     3 -0.50
##               kurtosis   se
## relation_a_t2     0.35 0.01
## relation_b_t2    -0.30 0.01
## relation_c_t2    -0.32 0.01
## relation_d_t2    -0.39 0.01
## relation_e_t2    -0.15 0.01

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
relation_a_t2	Get Along with Teachers	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	51	0.9887789	1	3	4	2.888295	0.7302446	4	▁▁▂▁▁▇▁▂
relation_b_t2	Teachers Are Interested	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	64	0.9859186	1	3	4	2.688686	0.7912350	4	▁▁▅▁▁▇▁▂
relation_c_t2	Teachers Listen to Students	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	62	0.9863586	1	3	4	2.693286	0.8081562	4	▁▁▅▁▁▇▁▂
relation_d_t2	Teachers Help Students	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	91	0.9799780	1	3	4	2.739784	0.8250799	4	▁▁▅▁▁▇▁▃
relation_e_t2	Teachers Treat Students Fair	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	76	0.9832783	1	3	4	2.869993	0.8234296	4	▁▁▃▁▁▇▁▃

Scale: Sense_of_Belonging_T1

Overview

Reliability: ω_ordinal [95% CI] = 0.85 [0.84;0.86].

Missing: 1857.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.7926
Omega Psych Tot	0.8356
Omega Psych H	0.5632
Omega Ordinal	0.8466
Cronbach Alpha	0.7856
Greatest Lower Bound	0.8357
Alpha Ordinal	0.8438

Positive correlations: 36 out of 36 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: belong_a_t1R, belong_b_t1, belong_c_t1, belong_d_t1R, belong_e_t1, belong_f_t1R, belong_g_t1, belong_h_t1, belong_i_t1
##               Observations: 2688
##      Positive correlations: 36 out of 36 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.79
##       Omega (hierarchical): 0.56
##    Revelle's omega (total): 0.84
## Greatest Lower Bound (GLB): 0.84
##              Coefficient H: 0.82
##           Cronbach's alpha: 0.79
## Confidence intervals:
##              Omega (total): [0.78, 0.8]
##           Cronbach's alpha: [0.77, 0.8]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 0.85
##  Ordinal Omega (hierarch.): 0.84
##   Ordinal Cronbach's alpha: 0.84
## Confidence intervals:
##      Ordinal Omega (total): [0.84, 0.86]
##   Ordinal Cronbach's alpha: [0.83, 0.85]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 3.38, 1.255, 1.049, 0.75, 0.677, 0.65, 0.464, 0.433, 0.341
## Loadings:
##              TC1    TC2    TC3   
## belong_a_t1R         0.800  0.159
## belong_b_t1                 0.801
## belong_c_t1   0.621  0.102  0.103
## belong_d_t1R  0.293  0.670 -0.109
## belong_e_t1                 0.799
## belong_f_t1R         0.886       
## belong_g_t1   0.839              
## belong_h_t1   0.662              
## belong_i_t1   0.825              
## 
##                  TC1   TC2   TC3
## SS loadings    2.304 1.892 1.330
## Proportion Var 0.256 0.210 0.148
## Cumulative Var 0.256 0.466 0.614
## 
##              vars    n mean   sd median trimmed  mad min max range  skew
## belong_a_t1R    1 2688 3.58 0.69      4    3.72 0.00   1   4     3 -1.77
## belong_b_t1     2 2688 3.04 0.72      3    3.08 0.00   1   4     3 -0.52
## belong_c_t1     3 2688 3.21 0.79      3    3.32 1.48   1   4     3 -0.88
## belong_d_t1R    4 2688 3.55 0.71      4    3.71 0.00   1   4     3 -1.63
## belong_e_t1     5 2688 3.29 0.65      3    3.35 0.00   1   4     3 -0.78
## belong_f_t1R    6 2688 3.69 0.62      4    3.83 0.00   1   4     3 -2.26
## belong_g_t1     7 2688 3.06 0.80      3    3.14 0.00   1   4     3 -0.71
## belong_h_t1     8 2688 2.89 0.78      3    2.93 0.00   1   4     3 -0.43
## belong_i_t1     9 2688 3.00 0.84      3    3.09 1.48   1   4     3 -0.66
##              kurtosis   se
## belong_a_t1R     3.04 0.01
## belong_b_t1      0.31 0.01
## belong_c_t1      0.45 0.02
## belong_d_t1R     2.22 0.01
## belong_e_t1      1.27 0.01
## belong_f_t1R     5.24 0.01
## belong_g_t1      0.25 0.02
## belong_h_t1     -0.09 0.02
## belong_i_t1     -0.03 0.02

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
belong_a_t1R	Feel Like Outsider (inverted item)	haven_labelled	4. Strongly disagree, 3. Disagree, 2. Agree, 1. Strongly agree	1722	0.6211221	1	4	4	3.574212	0.6891388	4	▁▁▁▁▁▃▁▇
belong_b_t1	Make Friends Easily	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1726	0.6202420	1	3	4	3.033700	0.7182599	4	▁▁▂▁▁▇▁▃
belong_c_t1	Belong at School	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1751	0.6147415	1	3	4	3.203651	0.7909085	4	▁▁▂▁▁▇▁▇
belong_d_t1R	Feel Awkward at School (inverted item)	haven_labelled	4. Strongly disagree, 3. Disagree, 2. Agree, 1. Strongly agree	1735	0.6182618	1	4	4	3.542705	0.7193049	4	▁▁▁▁▁▃▁▇
belong_e_t1	Liked by Other Students	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1745	0.6160616	1	3	4	3.293214	0.6460563	4	▁▁▁▁▁▇▁▆
belong_f_t1R	Feel Lonely at School (inverted item)	haven_labelled	4. Strongly disagree, 3. Disagree, 2. Agree, 1. Strongly agree	1736	0.6180418	1	4	4	3.685653	0.6262969	4	▁▁▁▁▁▂▁▇
belong_g_t1	Feel Happy at School	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1745	0.6160616	1	3	4	3.056429	0.7999384	4	▁▁▂▁▁▇▁▅
belong_h_t1	Things Are Ideal at School	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1741	0.6169417	1	3	4	2.888374	0.7819907	4	▁▁▃▁▁▇▁▃
belong_i_t1	Satisfied at School	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1732	0.6189219	1	3	4	2.990757	0.8407643	4	▁▁▂▁▁▇▁▅

Scale: Sense_of_Belonging_T2

Overview

Reliability: ω_ordinal [95% CI] = 0.84 [0.84;0.85].

Missing: 311.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.7913
Omega Psych Tot	0.8463
Omega Psych H	0.5422
Omega Ordinal	0.8437
Cronbach Alpha	0.7891
Greatest Lower Bound	0.8575
Alpha Ordinal	0.8434

Positive correlations: 36 out of 36 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: belong_a_t2R, belong_b_t2, belong_c_t2, belong_d_t2R, belong_e_t2, belong_f_t2R, belong_g_t2, belong_h_t2, belong_i_t2
##               Observations: 4234
##      Positive correlations: 36 out of 36 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.79
##       Omega (hierarchical): 0.54
##    Revelle's omega (total): 0.85
## Greatest Lower Bound (GLB): 0.86
##              Coefficient H: 0.82
##           Cronbach's alpha: 0.79
## Confidence intervals:
##              Omega (total): [0.78, 0.8]
##           Cronbach's alpha: [0.78, 0.8]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 0.84
##  Ordinal Omega (hierarch.): 0.83
##   Ordinal Cronbach's alpha: 0.84
## Confidence intervals:
##      Ordinal Omega (total): [0.84, 0.85]
##   Ordinal Cronbach's alpha: [0.84, 0.85]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 3.381, 1.56, 0.99, 0.703, 0.635, 0.51, 0.477, 0.392, 0.351
## Loadings:
##              TC1    TC2   
## belong_a_t2R         0.833
## belong_b_t2   0.295  0.319
## belong_c_t2   0.698  0.158
## belong_d_t2R  0.182  0.708
## belong_e_t2   0.402  0.244
## belong_f_t2R         0.861
## belong_g_t2   0.834       
## belong_h_t2   0.769       
## belong_i_t2   0.789       
## 
##                  TC1   TC2
## SS loadings    2.684 2.136
## Proportion Var 0.298 0.237
## Cumulative Var 0.298 0.535
## 
##              vars    n mean   sd median trimmed  mad min max range  skew
## belong_a_t2R    1 4234 3.54 0.76      4    3.71 0.00   1   4     3 -1.74
## belong_b_t2     2 4234 3.00 0.77      3    3.05 0.00   1   4     3 -0.55
## belong_c_t2     3 4234 3.08 0.85      3    3.18 1.48   1   4     3 -0.79
## belong_d_t2R    4 4234 3.47 0.81      4    3.65 0.00   1   4     3 -1.60
## belong_e_t2     5 4234 3.23 0.69      3    3.31 0.00   1   4     3 -0.91
## belong_f_t2R    6 4234 3.64 0.70      4    3.80 0.00   1   4     3 -2.10
## belong_g_t2     7 4234 2.90 0.82      3    2.96 0.00   1   4     3 -0.54
## belong_h_t2     8 4234 2.81 0.83      3    2.86 0.00   1   4     3 -0.44
## belong_i_t2     9 4234 2.86 0.92      3    2.95 1.48   1   4     3 -0.49
##              kurtosis   se
## belong_a_t2R     2.57 0.01
## belong_b_t2      0.14 0.01
## belong_c_t2      0.14 0.01
## belong_d_t2R     1.94 0.01
## belong_e_t2      1.48 0.01
## belong_f_t2R     4.10 0.01
## belong_g_t2     -0.08 0.01
## belong_h_t2     -0.24 0.01
## belong_i_t2     -0.55 0.01

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
belong_a_t2R	Feel Like Outsider (inverted item)	haven_labelled	4. Strongly disagree, 3. Disagree, 2. Agree, 1. Strongly agree	61	0.9865787	1	4	4	3.521186	0.7695677	4	▁▁▁▁▁▃▁▇
belong_b_t2	Make Friends Easily	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	44	0.9903190	1	3	4	2.986225	0.7707350	4	▁▁▂▁▁▇▁▃
belong_c_t2	Belong at School	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	46	0.9898790	1	3	4	3.068682	0.8484256	4	▁▁▂▁▁▇▁▆
belong_d_t2R	Feel Awkward at School (inverted item)	haven_labelled	4. Strongly disagree, 3. Disagree, 2. Agree, 1. Strongly agree	68	0.9850385	1	4	4	3.448515	0.8278258	4	▁▁▁▁▁▃▁▇
belong_e_t2	Liked by Other Students	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	65	0.9856986	1	3	4	3.223438	0.7001003	4	▁▁▁▁▁▇▁▅
belong_f_t2R	Feel Lonely at School (inverted item)	haven_labelled	4. Strongly disagree, 3. Disagree, 2. Agree, 1. Strongly agree	33	0.9927393	1	4	4	3.616356	0.7138794	4	▁▁▁▁▁▂▁▇
belong_g_t2	Feel Happy at School	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	85	0.9812981	1	3	4	2.892601	0.8242724	4	▁▁▃▁▁▇▁▃
belong_h_t2	Things Are Ideal at School	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	65	0.9856986	1	3	4	2.799777	0.8299753	4	▁▁▃▁▁▇▁▃
belong_i_t2	Satisfied at School	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	95	0.9790979	1	3	4	2.845843	0.9212957	4	▂▁▃▁▁▇▁▅

Scale: Attitudes_Towards_School_T1

Overview

Reliability: ω_ordinal [95% CI] = 0.74 [0.73;0.76].

Missing: 1849.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.6262
Omega Psych Tot	0.7059
Omega Psych H	0.4473
Omega Ordinal	0.7437
Cronbach Alpha	0.6232
Greatest Lower Bound	0.7197
Alpha Ordinal	0.7416

Positive correlations: 28 out of 28 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: attitud_a_t1R, attitud_b_t1R, attitud_c_t1, attitud_d_t1, attitud_e_t1, attitud_f_t1, attitud_g_t1, attitud_h_t1
##               Observations: 2696
##      Positive correlations: 28 out of 28 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.63
##       Omega (hierarchical): 0.45
##    Revelle's omega (total): 0.71
## Greatest Lower Bound (GLB): 0.72
##              Coefficient H: 0.65
##           Cronbach's alpha: 0.62
## Confidence intervals:
##              Omega (total): [0.6, 0.65]
##           Cronbach's alpha: [0.6, 0.64]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 0.74
##  Ordinal Omega (hierarch.): 0.74
##   Ordinal Cronbach's alpha: 0.74
## Confidence intervals:
##      Ordinal Omega (total): [0.73, 0.76]
##   Ordinal Cronbach's alpha: [0.73, 0.76]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 2.259, 1.163, 0.995, 0.895, 0.771, 0.703, 0.631, 0.583
## Loadings:
##               TC1    TC2   
## attitud_a_t1R         0.643
## attitud_b_t1R  0.217  0.587
## attitud_c_t1  -0.135  0.675
## attitud_d_t1          0.636
## attitud_e_t1   0.536  0.208
## attitud_f_t1   0.606       
## attitud_g_t1   0.724       
## attitud_h_t1   0.668       
## 
##                  TC1   TC2
## SS loadings    1.691 1.672
## Proportion Var 0.211 0.209
## Cumulative Var 0.211 0.420
## 
##               vars    n mean   sd median trimmed  mad min max range  skew
## attitud_a_t1R    1 2696 2.71 0.84      3    2.73 1.48   1   4     3 -0.18
## attitud_b_t1R    2 2696 3.38 0.74      4    3.50 0.00   1   4     3 -1.11
## attitud_c_t1     3 2696 2.73 0.83      3    2.76 1.48   1   4     3 -0.29
## attitud_d_t1     4 2696 3.15 0.83      3    3.25 1.48   1   4     3 -0.80
## attitud_e_t1     5 2696 3.34 0.68      3    3.43 1.48   1   4     3 -0.81
## attitud_f_t1     6 2696 3.45 0.73      4    3.58 0.00   1   4     3 -1.23
## attitud_g_t1     7 2696 3.80 0.47      4    3.91 0.00   1   4     3 -2.60
## attitud_h_t1     8 2696 3.51 0.65      4    3.60 0.00   1   4     3 -1.35
##               kurtosis   se
## attitud_a_t1R    -0.56 0.02
## attitud_b_t1R     0.96 0.01
## attitud_c_t1     -0.41 0.02
## attitud_d_t1      0.13 0.02
## attitud_e_t1      0.58 0.01
## attitud_f_t1      1.05 0.01
## attitud_g_t1      7.85 0.01
## attitud_h_t1      2.03 0.01

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
attitud_a_t1R	Does Little to Prepare Me for Life (inverted item)	haven_labelled	4. Strongly disagree, 3. Disagree, 2. Agree, 1. Strongly agree	1733	0.6187019	1	3	4	2.705903	0.8430312	4	▂▁▆▁▁▇▁▃
attitud_b_t1R	Waste of Time (inverted item)	haven_labelled	4. Strongly disagree, 3. Disagree, 2. Agree, 1. Strongly agree	1742	0.6167217	1	4	4	3.370674	0.7398780	4	▁▁▁▁▁▆▁▇
attitud_c_t1	Gave Me Confidence	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1752	0.6145215	1	3	4	2.724311	0.8270410	4	▁▁▅▁▁▇▁▃
attitud_d_t1	Useful for Job	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1746	0.6158416	1	3	4	3.143980	0.8328873	4	▁▁▂▁▁▇▁▇
attitud_e_t1	Helps to Get a Job	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1733	0.6187019	1	3	4	3.330370	0.6816407	4	▁▁▁▁▁▇▁▇
attitud_f_t1	Prepare for College	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1731	0.6191419	1	4	4	3.441365	0.7335893	4	▁▁▁▁▁▅▁▇
attitud_g_t1	Enjoy Good Grades	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1723	0.6209021	1	4	4	3.798724	0.4656493	4	▁▁▁▁▁▂▁▇
attitud_h_t1	Trying Hard is Important	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	1727	0.6200220	1	4	4	3.504258	0.6565929	4	▁▁▁▁▁▅▁▇

Scale: Attitudes_Towards_School_T2

Overview

Reliability: ω_ordinal [95% CI] = 0.75 [0.74;0.76].

Missing: 209.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.6597
Omega Psych Tot	0.7343
Omega Psych H	0.4699
Omega Ordinal	0.7523
Cronbach Alpha	0.6592
Greatest Lower Bound	0.7487
Alpha Ordinal	0.7501

Positive correlations: 28 out of 28 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: attitud_a_t2R, attitud_b_t2R, attitud_c_t2, attitud_d_t2, attitud_e_t2, attitud_f_t2, attitud_g_t2, attitud_h_t2
##               Observations: 4336
##      Positive correlations: 28 out of 28 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.66
##       Omega (hierarchical): 0.47
##    Revelle's omega (total): 0.73
## Greatest Lower Bound (GLB): 0.75
##              Coefficient H: 0.7
##           Cronbach's alpha: 0.66
## Confidence intervals:
##              Omega (total): [0.64, 0.68]
##           Cronbach's alpha: [0.64, 0.67]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 0.75
##  Ordinal Omega (hierarch.): 0.74
##   Ordinal Cronbach's alpha: 0.75
## Confidence intervals:
##      Ordinal Omega (total): [0.74, 0.76]
##   Ordinal Cronbach's alpha: [0.74, 0.76]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 2.449, 1.279, 0.96, 0.854, 0.695, 0.67, 0.548, 0.544
## Loadings:
##               TC2    TC1   
## attitud_a_t2R  0.601       
## attitud_b_t2R  0.535  0.147
## attitud_c_t2   0.686 -0.158
## attitud_d_t2   0.705       
## attitud_e_t2   0.457  0.425
## attitud_f_t2          0.658
## attitud_g_t2          0.792
## attitud_h_t2          0.733
## 
##                  TC2   TC1
## SS loadings    1.831 1.828
## Proportion Var 0.229 0.229
## Cumulative Var 0.229 0.457
## 
##               vars    n mean   sd median trimmed  mad min max range  skew
## attitud_a_t2R    1 4336 2.60 0.90      3    2.62 1.48   1   4     3 -0.14
## attitud_b_t2R    2 4336 3.28 0.83      3    3.41 1.48   1   4     3 -1.07
## attitud_c_t2     3 4336 2.58 0.84      3    2.60 1.48   1   4     3 -0.28
## attitud_d_t2     4 4336 3.05 0.83      3    3.13 1.48   1   4     3 -0.70
## attitud_e_t2     5 4336 3.21 0.73      3    3.29 1.48   1   4     3 -0.73
## attitud_f_t2     6 4336 3.30 0.82      3    3.44 1.48   1   4     3 -1.15
## attitud_g_t2     7 4336 3.73 0.55      4    3.84 0.00   1   4     3 -2.22
## attitud_h_t2     8 4336 3.39 0.71      3    3.50 1.48   1   4     3 -1.07
##               kurtosis   se
## attitud_a_t2R    -0.75 0.01
## attitud_b_t2R     0.60 0.01
## attitud_c_t2     -0.50 0.01
## attitud_d_t2      0.05 0.01
## attitud_e_t2      0.40 0.01
## attitud_f_t2      0.83 0.01
## attitud_g_t2      5.43 0.01
## attitud_h_t2      1.07 0.01

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
attitud_a_t2R	Does Little to Prepare Me for Life (inverted item)	haven_labelled	4. Strongly disagree, 3. Disagree, 2. Agree, 1. Strongly agree	63	0.9861386	1	3	4	2.597724	0.9014973	4	▂▁▆▁▁▇▁▃
attitud_b_t2R	Waste of Time (inverted item)	haven_labelled	4. Strongly disagree, 3. Disagree, 2. Agree, 1. Strongly agree	42	0.9907591	1	3	4	3.271819	0.8334539	4	▁▁▂▁▁▆▁▇
attitud_c_t2	Gave Me Confidence	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	46	0.9898790	1	3	4	2.585463	0.8392189	4	▂▁▅▁▁▇▁▂
attitud_d_t2	Attitude towards School - Useful for Job	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	39	0.9914191	1	3	4	3.045939	0.8324030	4	▁▁▂▁▁▇▁▅
attitud_e_t2	Helps to Get a Job	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	47	0.9896590	1	3	4	3.207425	0.7331946	4	▁▁▂▁▁▇▁▆
attitud_f_t2	Prepare for College	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	49	0.9892189	1	3	4	3.303826	0.8227811	4	▁▁▂▁▁▆▁▇
attitud_g_t2	Enjoy Good Grades	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	44	0.9903190	1	4	4	3.723617	0.5538109	4	▁▁▁▁▁▂▁▇
attitud_h_t2	Trying Hard is Important	haven_labelled	1. Strongly disagree, 2. Disagree, 3. Agree, 4. Strongly agree	45	0.9900990	1	3	4	3.385111	0.7133818	4	▁▁▁▁▁▆▁▇

Scale: Learning_Hindrance_T2

Overview

Reliability: ω_ordinal [95% CI] = 0.8 [0.79;0.81].

Missing: 1383.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.7399
Omega Psych Tot	0.7689
Omega Psych H	0.6938
Omega Ordinal	0.7999
Cronbach Alpha	0.7358
Greatest Lower Bound	0.8966
Alpha Ordinal	0.807

Positive correlations: 138 out of 171 (81%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: Phind_a_t2, Phind_b_t2, Phind_c_t2, Phind_d_t2, Phind_e_t2, Phind_f_t2, Phind_g_t2, Phind_h_t2, Phind_i_t2, Phind_j_t2, Phind_k_t2, Phind_l_t2, Phind_m_t2, Phind_n_t2, Phind_o_t2, Phind_p_t2, Phind_q_t2, Phind_r_t2, Phind_s_t2
##               Observations: 3162
##      Positive correlations: 138 out of 171 (81%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.74
##       Omega (hierarchical): 0.69
##    Revelle's omega (total): 0.77
## Greatest Lower Bound (GLB): 0.9
##              Coefficient H: 0.83
##           Cronbach's alpha: 0.74
## Confidence intervals:
##              Omega (total): [0.73, 0.75]
##           Cronbach's alpha: [0.72, 0.75]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 0.8
##  Ordinal Omega (hierarch.): 0.74
##   Ordinal Cronbach's alpha: 0.81
## Confidence intervals:
##      Ordinal Omega (total): [0.79, 0.81]
##   Ordinal Cronbach's alpha: [0.8, 0.82]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 3.889, 2.048, 1.717, 1.678, 1.451, 1.127, 1.026, 0.943, 0.841, 0.703, 0.636, 0.536, 0.512, 0.466, 0.407, 0.346, 0.262, 0.238, 0.174
## Loadings:
##            TC1    TC4    TC2    TC6    TC5    TC7    TC3   
## Phind_a_t2                       0.780 -0.148        -0.238
## Phind_b_t2  0.103                0.753        -0.108  0.346
## Phind_c_t2         0.198                              0.798
## Phind_d_t2  0.892                0.117                     
## Phind_e_t2  0.661         0.334        -0.129  0.109 -0.165
## Phind_f_t2  0.699         0.108 -0.142                0.522
## Phind_g_t2  0.412  0.303 -0.467  0.233  0.157 -0.288 -0.124
## Phind_h_t2         0.701                       0.103  0.115
## Phind_i_t2 -0.281  0.787  0.112         0.183 -0.118  0.162
## Phind_j_t2         0.139  0.804               -0.205       
## Phind_k_t2                              0.239  0.755 -0.207
## Phind_l_t2               -0.132        -0.142  0.857  0.177
## Phind_m_t2  0.367  0.559  0.193 -0.148         0.128 -0.164
## Phind_n_t2         0.310         0.239  0.523  0.199 -0.219
## Phind_o_t2                0.615  0.422  0.183  0.103  0.176
## Phind_p_t2  0.293  0.194  0.448 -0.283         0.174       
## Phind_q_t2  0.333  0.525               -0.563  0.114       
## Phind_r_t2  0.363  0.248                0.352              
## Phind_s_t2                              0.828              
## 
##                  TC1   TC4   TC2   TC6   TC5   TC7   TC3
## SS loadings    2.492 2.077 1.680 1.643 1.628 1.593 1.366
## Proportion Var 0.131 0.109 0.088 0.086 0.086 0.084 0.072
## Cumulative Var 0.131 0.240 0.329 0.415 0.501 0.585 0.657
## 
##            vars    n mean   sd median trimmed  mad min max range  skew
## Phind_a_t2    1 3162 1.96 0.49      2    1.95 0.00   1   3     2 -0.09
## Phind_b_t2    2 3162 2.03 0.42      2    2.01 0.00   1   3     2  0.21
## Phind_c_t2    3 3162 2.36 0.50      2    2.34 0.00   1   3     2  0.35
## Phind_d_t2    4 3162 1.72 0.55      2    1.71 0.00   1   3     2  0.00
## Phind_e_t2    5 3162 1.98 0.53      2    1.97 0.00   1   3     2 -0.03
## Phind_f_t2    6 3162 2.31 0.52      2    2.29 0.00   1   3     2  0.23
## Phind_g_t2    7 3162 1.52 0.50      2    1.53 0.00   1   2     1 -0.09
## Phind_h_t2    8 3162 2.24 0.50      2    2.22 0.00   1   3     2  0.36
## Phind_i_t2    9 3162 2.09 0.65      2    2.11 0.00   1   4     3  0.07
## Phind_j_t2   10 3162 2.04 0.42      2    2.01 0.00   1   3     2  0.28
## Phind_k_t2   11 3162 2.94 0.69      3    2.92 0.00   2   4     2  0.08
## Phind_l_t2   12 3162 2.11 0.87      2    2.05 1.48   1   4     3  0.45
## Phind_m_t2   13 3162 1.69 0.58      2    1.66 0.00   1   3     2  0.19
## Phind_n_t2   14 3162 2.07 0.51      2    2.09 0.00   1   3     2  0.12
## Phind_o_t2   15 3162 2.26 0.57      2    2.28 0.00   1   3     2 -0.04
## Phind_p_t2   16 3162 2.22 0.68      2    2.19 0.00   1   4     3  0.78
## Phind_q_t2   17 3162 1.73 0.47      2    1.78 0.00   1   3     2 -0.70
## Phind_r_t2   18 3162 2.01 0.63      2    2.02 0.00   1   3     2 -0.01
## Phind_s_t2   19 3162 2.04 0.41      2    2.00 0.00   1   3     2  0.27
##            kurtosis   se
## Phind_a_t2     1.14 0.01
## Phind_b_t2     2.58 0.01
## Phind_c_t2    -1.31 0.01
## Phind_d_t2    -0.51 0.01
## Phind_e_t2     0.58 0.01
## Phind_f_t2    -0.73 0.01
## Phind_g_t2    -1.99 0.01
## Phind_h_t2    -0.27 0.01
## Phind_i_t2    -0.25 0.01
## Phind_j_t2     2.61 0.01
## Phind_k_t2    -0.87 0.01
## Phind_l_t2    -0.44 0.02
## Phind_m_t2    -0.62 0.01
## Phind_n_t2     0.76 0.01
## Phind_o_t2    -0.46 0.01
## Phind_p_t2     0.94 0.01
## Phind_q_t2    -0.63 0.01
## Phind_r_t2    -0.49 0.01
## Phind_s_t2     2.97 0.01

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
Phind_a_t2	Student truancy	haven_labelled	1. Not at all, 2. Very little, 3. To some extent, 4. A lot	1122	0.7531353	1	2	3	1.909144	0.5276526	4	▂▁▁▇▁▁▁▁
Phind_b_t2	Skipping classes	haven_labelled	1. Not at all, 2. Very little, 3. To some extent, 4. A lot	1024	0.7746975	1	2	3	1.974439	0.4688294	4	▁▁▁▇▁▁▁▁
Phind_c_t2	Students being late	haven_labelled	1. Not at all, 2. Very little, 3. To some extent, 4. A lot	1232	0.7289329	1	2	3	2.376698	0.5029746	4	▁▁▁▇▁▁▁▅
Phind_d_t2	Students skipping events	haven_labelled	1. Not at all, 2. Very little, 3. To some extent, 4. A lot	1023	0.7749175	1	2	3	1.703861	0.5680421	4	▅▁▁▇▁▁▁▁
Phind_e_t2	Students lacking respect	haven_labelled	1. Not at all, 2. Very little, 3. To some extent, 4. A lot	1053	0.7683168	1	2	3	1.939863	0.5350427	4	▂▁▁▇▁▁▁▁
Phind_f_t2	Student Disruption	haven_labelled	1. Not at all, 2. Very little, 3. To some extent, 4. A lot	1157	0.7454345	1	2	3	2.301063	0.5111442	4	▁▁▁▇▁▁▁▅
Phind_g_t2	Student drug use	haven_labelled	1. Not at all, 2. Very little, 3. To some extent, 4. A lot	1226	0.7302530	1	2	2	1.501356	0.5000735	4	▇▁▁▁▁▁▁▇
Phind_h_t2	Students being bullied	haven_labelled	1. Not at all, 2. Very little, 3. To some extent, 4. A lot	1178	0.7408141	1	2	3	2.216513	0.5338127	4	▁▁▁▇▁▁▁▃
Phind_i_t2	Students not encouraged	haven_labelled	1. Not at all, 2. Very little, 3. To some extent, 4. A lot	1105	0.7568757	1	2	4	2.124419	0.6495013	4	▂▁▇▁▁▃▁▁
Phind_j_t2	Poor student-teacher relations	haven_labelled	1. Not at all, 2. Very little, 3. To some extent, 4. A lot	1254	0.7240924	1	2	3	2.048921	0.4295766	4	▁▁▁▇▁▁▁▁
Phind_k_t2	Heterogeneous classes	haven_labelled	1. Not at all, 2. Very little, 3. To some extent, 4. A lot	1130	0.7513751	1	3	4	2.909517	0.7303450	4	▁▁▅▁▁▇▁▃
Phind_l_t2	Diverse ethnic backgrounds	haven_labelled	1. Not at all, 2. Very little, 3. To some extent, 4. A lot	1234	0.7284928	1	2	4	2.101178	0.8671768	4	▅▁▇▁▁▅▁▁
Phind_m_t2	Teachers low expectations	haven_labelled	1. Not at all, 2. Very little, 3. To some extent, 4. A lot	1088	0.7606161	1	2	3	1.697426	0.6041684	4	▆▁▁▇▁▁▁▁
Phind_n_t2	Student needs not met	haven_labelled	1. Not at all, 2. Very little, 3. To some extent, 4. A lot	1196	0.7368537	1	2	3	2.034637	0.5326783	4	▂▁▁▇▁▁▁▂
Phind_o_t2	Teacher absenteeism	haven_labelled	1. Not at all, 2. Very little, 3. To some extent, 4. A lot	1115	0.7546755	1	2	3	2.212828	0.6106462	4	▂▁▁▇▁▁▁▅
Phind_p_t2	Staff resisting change	haven_labelled	1. Not at all, 2. Very little, 3. To some extent, 4. A lot	1139	0.7493949	1	2	4	2.251908	0.7434220	4	▁▁▇▁▁▂▁▁
Phind_q_t2	Teachers too strict	haven_labelled	1. Not at all, 2. Very little, 3. To some extent, 4. A lot	1167	0.7432343	1	2	3	1.727057	0.4910653	4	▃▁▁▇▁▁▁▁
Phind_r_t2	Teachers being late	haven_labelled	1. Not at all, 2. Very little, 3. To some extent, 4. A lot	1130	0.7513751	1	2	3	1.997657	0.6654899	4	▃▁▁▇▁▁▁▃
Phind_s_t2	Teachers being unprepared	haven_labelled	1. Not at all, 2. Very little, 3. To some extent, 4. A lot	1130	0.7513751	1	2	3	2.060615	0.4207745	4	▁▁▁▇▁▁▁▁

Scale: Cultural_Diversity_T2

Overview

Reliability: ω_ordinal [95% CI] = 1.24 [0.85;1].

Missing: 1732.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.7215
Omega Psych Tot	0.5727
Omega Psych H	0.1913
Omega Ordinal	1.235
Cronbach Alpha	0.3758
Greatest Lower Bound	0.5698
Alpha Ordinal	0.6076

Positive correlations: 5 out of 6 (83%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: Pcult_a_t2, Pcult_b_t2, Pcult_c_t2R, Pcult_e_t2
##               Observations: 2813
##      Positive correlations: 5 out of 6 (83%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.72
##       Omega (hierarchical): 0.19
##    Revelle's omega (total): 0.57
## Greatest Lower Bound (GLB): 0.57
##              Coefficient H: 1
##           Cronbach's alpha: 0.38
## Confidence intervals:
##              Omega (total): [0.2, 1]
##           Cronbach's alpha: [0.34, 0.41]
## 
## Estimates assuming ordinal level:
## 
##      Ordinal Omega (total): 1.24
##  Ordinal Omega (hierarch.): 1.11
##   Ordinal Cronbach's alpha: 0.61
## Confidence intervals:
##      Ordinal Omega (total): [0.85, 1]
##   Ordinal Cronbach's alpha: [0.58, 0.63]
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 1.514, 1.143, 0.821, 0.523
## Loadings:
##             TC1    TC2   
## Pcult_a_t2  -0.125  0.778
## Pcult_b_t2   0.852 -0.138
## Pcult_c_t2R  0.152  0.743
## Pcult_e_t2   0.828  0.156
## 
##                  TC1   TC2
## SS loadings    1.451 1.201
## Proportion Var 0.363 0.300
## Cumulative Var 0.363 0.663
## 
##             vars    n mean   sd median trimmed mad min max range  skew
## Pcult_a_t2     1 2813 1.52 0.50      2    1.52   0   1   2     1 -0.08
## Pcult_b_t2     2 2813 1.06 0.23      1    1.00   0   1   2     1  3.81
## Pcult_c_t2R    3 2813 1.65 0.48      2    1.68   0   1   2     1 -0.61
## Pcult_e_t2     4 2813 1.19 0.39      1    1.12   0   1   2     1  1.56
##             kurtosis   se
## Pcult_a_t2     -1.99 0.01
## Pcult_b_t2     12.52 0.00
## Pcult_c_t2R    -1.63 0.01
## Pcult_e_t2      0.44 0.01

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
Pcult_a_t2	Academic success of students from different cultural and ethnic backgrounds	haven_labelled	1. better when all students adopt German culture and values, 2. better when cultural differences are valued	1459	0.6789879	1	2	2	1.521387	0.4996233	2	▇▁▁▁▁▁▁▇
Pcult_b_t2	Academic success of multilingual students	haven_labelled	1. important to provide extra lessons in German language, 2. important to provide extra lessons in original language	1440	0.6831683	1	1	2	1.059581	0.2367476	2	▇▁▁▁▁▁▁▁
Pcult_c_t2R	School cohesion	haven_labelled	2. better when school promotes cultural differences, 1. better when students from different backgrounds assimilate	1187	0.7388339	1	2	2	1.639964	0.4800819	2	▅▁▁▁▁▁▁▇
Pcult_e_t2	School cohesion	haven_labelled	1. better when all students speak same language, 2. better when school promotes linguistic diversity	1289	0.7163916	1	1	2	1.183354	0.3870158	2	▇▁▁▁▁▁▁▂

Scale: Math_Achievement_T1

Overview

Reliability: ω_total [95% CI] = 0.97 [0.97;0.97].

Missing: 106.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.973
Omega Psych Tot	0.9739
Omega Psych H	0.001333
Cronbach Alpha	0.973
Greatest Lower Bound	0.9731

Positive correlations: 10 out of 10 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: ma_pv1_t1, ma_pv2_t1, ma_pv3_t1, ma_pv4_t1, ma_pv5_t1
##               Observations: 4439
##      Positive correlations: 10 out of 10 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.97
##       Omega (hierarchical): 0
##    Revelle's omega (total): 0.97
## Greatest Lower Bound (GLB): 0.97
##              Coefficient H: 0.97
##           Cronbach's alpha: 0.97
## Confidence intervals:
##              Omega (total): [0.97, 0.97]
##           Cronbach's alpha: [0.97, 0.97]
## 
## (Estimates assuming ordinal level not computed, as at least one item seems to have more than 8 levels; the highest number of distinct levels is 4439 and the highest range is 8.166549. This last number needs to be lower than 9 for the polychoric function to work. If this is unexpected, you may want to check for outliers.)
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 4.512, 0.127, 0.123, 0.121, 0.116
## Loadings:
##           PC1  
## ma_pv1_t1 0.950
## ma_pv2_t1 0.951
## ma_pv3_t1 0.949
## ma_pv4_t1 0.950
## ma_pv5_t1 0.949
## 
##                  PC1
## SS loadings    4.512
## Proportion Var 0.902
## 
##           vars    n mean   sd median trimmed  mad   min  max range skew
## ma_pv1_t1    1 4439 0.66 1.02   0.65    0.66 1.10 -2.74 4.43  7.17 0.05
## ma_pv2_t1    2 4439 0.68 1.04   0.67    0.67 1.07 -2.43 3.83  6.25 0.05
## ma_pv3_t1    3 4439 0.67 1.03   0.68    0.67 1.09 -2.73 3.74  6.46 0.03
## ma_pv4_t1    4 4439 0.68 1.04   0.68    0.68 1.10 -2.38 3.93  6.32 0.04
## ma_pv5_t1    5 4439 0.68 1.05   0.67    0.67 1.11 -2.46 4.27  6.72 0.07
##           kurtosis   se
## ma_pv1_t1    -0.42 0.02
## ma_pv2_t1    -0.27 0.02
## ma_pv3_t1    -0.37 0.02
## ma_pv4_t1    -0.37 0.02
## ma_pv5_t1    -0.25 0.02

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
ma_pv1_t1	Math Achievement (Plausible Value 1) (T1)	numeric	106	0.9766777	-2.7	0.65	4.4	0.6647054	1.023940	▁▅▇▃▁
ma_pv2_t1	Math Achievement (Plausible Value 2) (T1)	numeric	106	0.9766777	-2.4	0.67	3.8	0.6770452	1.035172	▁▅▇▅▁
ma_pv3_t1	Math Achievement (Plausible Value 3) (T1)	numeric	106	0.9766777	-2.7	0.68	3.7	0.6736196	1.029269	▁▃▇▅▁
ma_pv4_t1	Math Achievement (Plausible Value 4) (T1)	numeric	106	0.9766777	-2.4	0.68	3.9	0.6811163	1.040554	▁▆▇▅▁
ma_pv5_t1	Math Achievement (Plausible Value 5) (T1)	numeric	106	0.9766777	-2.5	0.67	4.3	0.6810412	1.049296	▁▆▇▃▁

Scale: Math_Achievement_T2

Overview

Reliability: ω_total [95% CI] = 0.97 [0.97;0.97].

Missing: 106.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.9697
Omega Psych Tot	0.9701
Omega Psych H	0.1201
Cronbach Alpha	0.9697
Greatest Lower Bound	0.9684

Positive correlations: 10 out of 10 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: ma_pv1_t2, ma_pv2_t2, ma_pv3_t2, ma_pv4_t2, ma_pv5_t2
##               Observations: 4439
##      Positive correlations: 10 out of 10 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.97
##       Omega (hierarchical): 0.12
##    Revelle's omega (total): 0.97
## Greatest Lower Bound (GLB): 0.97
##              Coefficient H: 0.97
##           Cronbach's alpha: 0.97
## Confidence intervals:
##              Omega (total): [0.97, 0.97]
##           Cronbach's alpha: [0.97, 0.97]
## 
## (Estimates assuming ordinal level not computed, as at least one item seems to have more than 8 levels; the highest number of distinct levels is 4439 and the highest range is 9.944589. This last number needs to be lower than 9 for the polychoric function to work. If this is unexpected, you may want to check for outliers.)
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 4.46, 0.14, 0.136, 0.134, 0.13
## Loadings:
##           PC1  
## ma_pv1_t2 0.945
## ma_pv2_t2 0.944
## ma_pv3_t2 0.943
## ma_pv4_t2 0.946
## ma_pv5_t2 0.944
## 
##                  PC1
## SS loadings    4.460
## Proportion Var 0.892
## 
##           vars    n mean   sd median trimmed  mad   min  max range skew
## ma_pv1_t2    1 4439 0.76 1.19   0.73    0.75 1.24 -3.01 4.81  7.82 0.07
## ma_pv2_t2    2 4439 0.78 1.17   0.77    0.78 1.22 -2.98 4.82  7.80 0.03
## ma_pv3_t2    3 4439 0.79 1.19   0.77    0.79 1.25 -3.88 4.67  8.55 0.06
## ma_pv4_t2    4 4439 0.77 1.18   0.74    0.76 1.26 -3.06 4.66  7.72 0.04
## ma_pv5_t2    5 4439 0.78 1.20   0.77    0.77 1.23 -3.74 5.07  8.80 0.06
##           kurtosis   se
## ma_pv1_t2    -0.32 0.02
## ma_pv2_t2    -0.26 0.02
## ma_pv3_t2    -0.31 0.02
## ma_pv4_t2    -0.32 0.02
## ma_pv5_t2    -0.22 0.02

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
ma_pv1_t2	Math Achievement (Plausible Value 1) (T2)	numeric	106	0.9766777	-3.0	0.73	4.8	0.7599080	1.187161	▁▅▇▃▁
ma_pv2_t2	Math Achievement (Plausible Value 2) (T2)	numeric	106	0.9766777	-3.0	0.77	4.8	0.7797602	1.174786	▁▅▇▃▁
ma_pv3_t2	Math Achievement (Plausible Value 3) (T2)	numeric	106	0.9766777	-3.9	0.77	4.7	0.7925883	1.185175	▁▂▇▅▁
ma_pv4_t2	Math Achievement (Plausible Value 4) (T2)	numeric	106	0.9766777	-3.1	0.74	4.7	0.7676595	1.179186	▁▅▇▅▁
ma_pv5_t2	Math Achievement (Plausible Value 5) (T2)	numeric	106	0.9766777	-3.7	0.77	5.1	0.7768281	1.195029	▁▃▇▃▁

Scale: Reading_Achievement_T1

Overview

Reliability: ω_total [95% CI] = 0.95 [0.95;0.96].

Missing: 106.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.9542
Omega Psych Tot	0.956
Omega Psych H	0.9494
Cronbach Alpha	0.9542
Greatest Lower Bound	0.955

Positive correlations: 10 out of 10 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: rea_pv1_t1, rea_pv2_t1, rea_pv3_t1, rea_pv4_t1, rea_pv5_t1
##               Observations: 4439
##      Positive correlations: 10 out of 10 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.95
##       Omega (hierarchical): 0.95
##    Revelle's omega (total): 0.96
## Greatest Lower Bound (GLB): 0.96
##              Coefficient H: 0.95
##           Cronbach's alpha: 0.95
## Confidence intervals:
##              Omega (total): [0.95, 0.96]
##           Cronbach's alpha: [0.95, 0.96]
## 
## (Estimates assuming ordinal level not computed, as at least one item seems to have more than 8 levels; the highest number of distinct levels is 4439 and the highest range is 8.689919. This last number needs to be lower than 9 for the polychoric function to work. If this is unexpected, you may want to check for outliers.)
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 4.226, 0.203, 0.197, 0.191, 0.183
## Loadings:
##            PC1  
## rea_pv1_t1 0.920
## rea_pv2_t1 0.921
## rea_pv3_t1 0.916
## rea_pv4_t1 0.920
## rea_pv5_t1 0.920
## 
##                  PC1
## SS loadings    4.226
## Proportion Var 0.845
## 
##            vars    n mean   sd median trimmed  mad   min  max range  skew
## rea_pv1_t1    1 4439 0.53 0.92   0.55    0.53 0.92 -2.85 3.53  6.38 -0.09
## rea_pv2_t1    2 4439 0.53 0.93   0.55    0.54 0.92 -2.79 3.67  6.46 -0.09
## rea_pv3_t1    3 4439 0.52 0.92   0.56    0.53 0.93 -3.40 3.80  7.20 -0.09
## rea_pv4_t1    4 4439 0.53 0.93   0.55    0.54 0.95 -2.76 3.96  6.71 -0.09
## rea_pv5_t1    5 4439 0.54 0.93   0.56    0.55 0.94 -3.59 4.10  7.69 -0.09
##            kurtosis   se
## rea_pv1_t1    -0.07 0.01
## rea_pv2_t1    -0.07 0.01
## rea_pv3_t1    -0.06 0.01
## rea_pv4_t1    -0.10 0.01
## rea_pv5_t1    -0.07 0.01

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
rea_pv1_t1	Reading Achievement (Plausible Value 1) (T1)	numeric	106	0.9766777	-2.9	0.55	3.5	0.5258615	0.9176343	▁▃▇▅▁
rea_pv2_t1	Reading Achievement (Plausible Value 2) (T1)	numeric	106	0.9766777	-2.8	0.55	3.7	0.5325555	0.9253891	▁▃▇▅▁
rea_pv3_t1	Reading Achievement (Plausible Value 3) (T1)	numeric	106	0.9766777	-3.4	0.56	3.8	0.5232743	0.9159762	▁▂▇▅▁
rea_pv4_t1	Reading Achievement (Plausible Value 4) (T1)	numeric	106	0.9766777	-2.8	0.55	4.0	0.5299833	0.9306858	▁▃▇▃▁
rea_pv5_t1	Reading Achievement (Plausible Value 5) (T1)	numeric	106	0.9766777	-3.6	0.56	4.1	0.5373814	0.9259825	▁▂▇▅▁

Scale: Reading_Achievement_T2

Overview

Reliability: ω_total [95% CI] = 0.95 [0.95;0.96].

Missing: 106.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.9548
Omega Psych Tot	0.8877
Omega Psych H	0.005598
Cronbach Alpha	0.9548
Greatest Lower Bound	0.955

Positive correlations: 10 out of 10 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: rea_pv1_t2, rea_pv2_t2, rea_pv3_t2, rea_pv4_t2, rea_pv5_t2
##               Observations: 4439
##      Positive correlations: 10 out of 10 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.95
##       Omega (hierarchical): 0.01
##    Revelle's omega (total): 0.89
## Greatest Lower Bound (GLB): 0.96
##              Coefficient H: 0.95
##           Cronbach's alpha: 0.95
## Confidence intervals:
##              Omega (total): [0.95, 0.96]
##           Cronbach's alpha: [0.95, 0.96]
## 
## (Estimates assuming ordinal level not computed, as at least one item seems to have more than 8 levels; the highest number of distinct levels is 4439 and the highest range is 9.575107. This last number needs to be lower than 9 for the polychoric function to work. If this is unexpected, you may want to check for outliers.)
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 4.235, 0.197, 0.195, 0.191, 0.183
## Loadings:
##            PC1  
## rea_pv1_t2 0.921
## rea_pv2_t2 0.921
## rea_pv3_t2 0.920
## rea_pv4_t2 0.919
## rea_pv5_t2 0.921
## 
##                  PC1
## SS loadings    4.235
## Proportion Var 0.847
## 
##            vars    n mean   sd median trimmed  mad   min  max range  skew
## rea_pv1_t2    1 4439 0.50 1.20   0.58    0.54 1.19 -4.00 4.26  8.26 -0.28
## rea_pv2_t2    2 4439 0.53 1.18   0.58    0.56 1.19 -3.66 3.76  7.42 -0.25
## rea_pv3_t2    3 4439 0.54 1.18   0.58    0.56 1.18 -3.93 4.07  7.99 -0.24
## rea_pv4_t2    4 4439 0.51 1.19   0.59    0.54 1.22 -3.93 4.03  7.96 -0.25
## rea_pv5_t2    5 4439 0.53 1.19   0.59    0.56 1.21 -4.32 3.99  8.31 -0.25
##            kurtosis   se
## rea_pv1_t2     0.05 0.02
## rea_pv2_t2    -0.08 0.02
## rea_pv3_t2     0.01 0.02
## rea_pv4_t2    -0.16 0.02
## rea_pv5_t2    -0.06 0.02

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
rea_pv1_t2	Reading Achievement (Plausible Value 1) (T2)	numeric	106	0.9766777	-4.0	0.58	4.3	0.5048010	1.197540	▁▂▇▆▁
rea_pv2_t2	Reading Achievement (Plausible Value 2) (T2)	numeric	106	0.9766777	-3.7	0.58	3.8	0.5325761	1.178540	▁▂▇▇▁
rea_pv3_t2	Reading Achievement (Plausible Value 3) (T2)	numeric	106	0.9766777	-3.9	0.58	4.1	0.5361922	1.184373	▁▂▇▆▁
rea_pv4_t2	Reading Achievement (Plausible Value 4) (T2)	numeric	106	0.9766777	-3.9	0.59	4.0	0.5144451	1.192201	▁▂▇▇▁
rea_pv5_t2	Reading Achievement (Plausible Value 5) (T2)	numeric	106	0.9766777	-4.3	0.59	4.0	0.5317534	1.192561	▁▂▇▇▁

Scale: Science_Achievement_T1

Overview

Reliability: ω_total [95% CI] = 0.96 [0.96;0.96].

Missing: 106.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.9574
Omega Psych Tot	0.4964
Omega Psych H	0.02595
Cronbach Alpha	0.9574
Greatest Lower Bound	0.958

Positive correlations: 10 out of 10 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: sci_pv1_t1, sci_pv2_t1, sci_pv3_t1, sci_pv4_t1, sci_pv5_t1
##               Observations: 4439
##      Positive correlations: 10 out of 10 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.96
##       Omega (hierarchical): 0.03
##    Revelle's omega (total): 0.5
## Greatest Lower Bound (GLB): 0.96
##              Coefficient H: 0.96
##           Cronbach's alpha: 0.96
## Confidence intervals:
##              Omega (total): [0.96, 0.96]
##           Cronbach's alpha: [0.96, 0.96]
## 
## (Estimates assuming ordinal level not computed, as at least one item seems to have more than 8 levels; the highest number of distinct levels is 4439 and the highest range is 7.179247. This last number needs to be lower than 9 for the polychoric function to work. If this is unexpected, you may want to check for outliers.)
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 4.272, 0.191, 0.185, 0.179, 0.173
## Loadings:
##            PC1  
## sci_pv1_t1 0.923
## sci_pv2_t1 0.926
## sci_pv3_t1 0.925
## sci_pv4_t1 0.923
## sci_pv5_t1 0.924
## 
##                  PC1
## SS loadings    4.272
## Proportion Var 0.854
## 
##            vars    n mean   sd median trimmed  mad   min  max range  skew
## sci_pv1_t1    1 4439 0.49 0.87   0.52    0.51 0.88 -2.56 3.13  5.69 -0.17
## sci_pv2_t1    2 4439 0.49 0.88   0.53    0.51 0.87 -2.72 3.33  6.05 -0.17
## sci_pv3_t1    3 4439 0.49 0.87   0.53    0.50 0.90 -2.85 3.31  6.16 -0.14
## sci_pv4_t1    4 4439 0.50 0.87   0.55    0.52 0.89 -2.43 3.19  5.62 -0.20
## sci_pv5_t1    5 4439 0.50 0.87   0.54    0.51 0.91 -2.75 3.06  5.82 -0.15
##            kurtosis   se
## sci_pv1_t1    -0.17 0.01
## sci_pv2_t1    -0.15 0.01
## sci_pv3_t1    -0.23 0.01
## sci_pv4_t1    -0.20 0.01
## sci_pv5_t1    -0.22 0.01

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
sci_pv1_t1	Science Achievement (Plausible Value 1) (T1)	numeric	106	0.9766777	-2.6	0.52	3.1	0.4939080	0.8661784	▁▃▇▆▁
sci_pv2_t1	Science Achievement (Plausible Value 2) (T1)	numeric	106	0.9766777	-2.7	0.53	3.3	0.4943555	0.8781302	▁▃▇▅▁
sci_pv3_t1	Science Achievement (Plausible Value 3) (T1)	numeric	106	0.9766777	-2.9	0.53	3.3	0.4897975	0.8728129	▁▃▇▅▁
sci_pv4_t1	Science Achievement (Plausible Value 4) (T1)	numeric	106	0.9766777	-2.4	0.55	3.2	0.5016070	0.8692153	▁▃▇▅▁
sci_pv5_t1	Science Achievement (Plausible Value 5) (T1)	numeric	106	0.9766777	-2.8	0.54	3.1	0.5014057	0.8722337	▁▂▇▆▁

Scale: Science_Achievement_T2

Overview

Reliability: ω_total [95% CI] = 0.97 [0.97;0.97].

Missing: 106.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.9682
Omega Psych Tot	0.9687
Omega Psych H	0.9639
Cronbach Alpha	0.9682
Greatest Lower Bound	0.9676

Positive correlations: 10 out of 10 (100%)

Scatter matrix

Detailed output

## 
## Information about this analysis:
## 
##                  Dataframe: res$dat
##                      Items: sci_pv1_t2, sci_pv2_t2, sci_pv3_t2, sci_pv4_t2, sci_pv5_t2
##               Observations: 4439
##      Positive correlations: 10 out of 10 (100%)
## 
## Estimates assuming interval level:
## 
##              Omega (total): 0.97
##       Omega (hierarchical): 0.96
##    Revelle's omega (total): 0.97
## Greatest Lower Bound (GLB): 0.97
##              Coefficient H: 0.97
##           Cronbach's alpha: 0.97
## Confidence intervals:
##              Omega (total): [0.97, 0.97]
##           Cronbach's alpha: [0.97, 0.97]
## 
## (Estimates assuming ordinal level not computed, as at least one item seems to have more than 8 levels; the highest number of distinct levels is 4439 and the highest range is 9.467034. This last number needs to be lower than 9 for the polychoric function to work. If this is unexpected, you may want to check for outliers.)
## 
## Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
## 
## Eigen values: 4.436, 0.147, 0.14, 0.139, 0.138
## Loadings:
##            PC1  
## sci_pv1_t2 0.943
## sci_pv2_t2 0.942
## sci_pv3_t2 0.942
## sci_pv4_t2 0.940
## sci_pv5_t2 0.942
## 
##                  PC1
## SS loadings    4.436
## Proportion Var 0.887
## 
##            vars    n mean   sd median trimmed  mad   min  max range  skew
## sci_pv1_t2    1 4439 0.52 1.15   0.56    0.55 1.18 -3.61 4.16  7.77 -0.22
## sci_pv2_t2    2 4439 0.53 1.14   0.59    0.56 1.17 -4.15 4.12  8.27 -0.24
## sci_pv3_t2    3 4439 0.53 1.14   0.59    0.56 1.19 -3.86 4.32  8.18 -0.24
## sci_pv4_t2    4 4439 0.52 1.14   0.59    0.54 1.19 -3.45 4.00  7.45 -0.20
## sci_pv5_t2    5 4439 0.53 1.15   0.59    0.56 1.18 -3.68 4.03  7.71 -0.20
##            kurtosis   se
## sci_pv1_t2    -0.14 0.02
## sci_pv2_t2    -0.10 0.02
## sci_pv3_t2    -0.12 0.02
## sci_pv4_t2    -0.22 0.02
## sci_pv5_t2    -0.23 0.02

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
sci_pv1_t2	Science Achievement (Plausible Value 1) (T2)	numeric	106	0.9766777	-3.6	0.56	4.2	0.5195059	1.154915	▁▃▇▆▁
sci_pv2_t2	Science Achievement (Plausible Value 2) (T2)	numeric	106	0.9766777	-4.1	0.59	4.1	0.5299410	1.137506	▁▂▇▇▁
sci_pv3_t2	Science Achievement (Plausible Value 3) (T2)	numeric	106	0.9766777	-3.9	0.59	4.3	0.5345550	1.140625	▁▂▇▆▁
sci_pv4_t2	Science Achievement (Plausible Value 4) (T2)	numeric	106	0.9766777	-3.4	0.59	4.0	0.5187992	1.138230	▁▃▇▆▁
sci_pv5_t2	Science Achievement (Plausible Value 5) (T2)	numeric	106	0.9766777	-3.7	0.59	4.0	0.5306690	1.146048	▁▃▇▆▁

ma_wle_t1

Math Achievement (WLE-Score) (T1)

Distribution

108 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
ma_wle_t1	Math Achievement (WLE-Score) (T1)	numeric	108	0.9762376	-2.7	0.66	6.2	0.6860025	1.158081	▁▇▆▁▁

ma_se_t1

Math Achievement (Standard Error of WLE) (T1)

Distribution

108 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
ma_se_t1	Math Achievement (Standard Error of WLE) (T1)	numeric	108	0.9762376	0.019	0.48	2	0.5184059	0.1990985	▅▇▁▁▁

ma_wle_t2

Math Achievement (WLE-Score) (T2)

Distribution

1346 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
ma_wle_t2	Math Achievement (WLE-Score) (T2)	numeric	1346	0.7038504	-3.2	0.74	5.2	0.7796814	1.322938	▁▅▇▃▁

ma_se_t2

Math Achievement (Standard Error of WLE) (T2)

Distribution

1346 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
ma_se_t2	Math Achievement (Standard Error of WLE) (T2)	numeric	1346	0.7038504	0.092	0.57	2	0.5980948	0.2242893	▅▇▁▁▁

rea_wle_t1

Reading Achievement (WLE-Score) (T1)

Distribution

1461 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
rea_wle_t1	Reading Achievement (WLE-Score) (T1)	numeric	1461	0.6785479	-3.3	0.52	4.5	0.5429218	1.106827	▁▃▇▃▁

rea_se_t1

Reading Achievement (Standard Error of WLE) (T1)

Distribution

1461 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
rea_se_t1	Reading Achievement (Standard Error of WLE) (T1)	numeric	1461	0.6785479	0.17	0.63	2	0.6575265	0.219103	▅▇▂▁▁

rea_wle_t2

Reading Achievement (WLE-Score) (T2)

Distribution

2842 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
rea_wle_t2	Reading Achievement (WLE-Score) (T2)	numeric	2842	0.3746975	-3.2	0.55	5.6	0.5375064	1.328756	▁▆▇▂▁

rea_se_t2

Reading Achievement (Standard Error of WLE) (T2)

Distribution

2842 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
rea_se_t2	Reading Achievement (Standard Error of WLE) (T2)	numeric	2842	0.3746975	0.23	0.71	2	0.7366557	0.225326	▃▇▂▁▁

sci_wle_t1

Science Achievement (WLE-Score) (T1)

Distribution

1496 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
sci_wle_t1	Science Achievement (WLE-Score) (T1)	numeric	1496	0.6708471	-3.1	0.54	4.1	0.496613	0.9989374	▁▃▇▃▁

sci_se_t1

Science Achievement (Standard Error of WLE) (T1)

Distribution

1496 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
sci_se_t1	Science Achievement (Standard Error of WLE) (T1)	numeric	1496	0.6708471	0.039	0.5	1.7	0.5150615	0.1711579	▂▇▁▁▁

sci_wle_t2

Science Achievement (WLE-Score) (T2)

Distribution

2853 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
sci_wle_t2	Science Achievement (WLE-Score) (T2)	numeric	2853	0.3722772	-2.9	0.58	4.1	0.5458556	1.225159	▁▅▇▃▁

sci_se_t2

Science Achievement (Standard Error of WLE) (T2)

Distribution

2853 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
sci_se_t2	Science Achievement (Standard Error of WLE) (T2)	numeric	2853	0.3722772	0.13	0.56	1.7	0.5973221	0.2300042	▃▇▁▁▁

ma_eap_t1

Math Achievement (EAP-Score) (T1)

Distribution

106 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
ma_eap_t1	Math Achievement (EAP-Score) (T1)	numeric	106	0.9766777	-2.2	0.65	3.8	0.6731412	0.99312	▁▆▇▅▁

ma_pvse_t1

Math Achievement (Standard Error of EAP) (T1)

Distribution

106 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
ma_pvse_t1	Math Achievement (Standard Error of EAP) (T1)	numeric	106	0.9766777	-0.6	0.3	1.2	0.3015221	0.2109577	▁▂▇▂▁

ma_eap_t2

Math Achievement (EAP-Score) (T2)

Distribution

106 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
ma_eap_t2	Math Achievement (EAP-Score) (T2)	numeric	106	0.9766777	-3.2	0.77	4.2	0.7802127	1.123821	▁▃▇▆▁

ma_pvse_t2

Math Achievement (Standard Error of EAP) (T2)

Distribution

106 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
ma_pvse_t2	Math Achievement (Standard Error of EAP) (T2)	numeric	106	0.9766777	-0.41	0.38	1.3	0.377893	0.2272858	▁▅▇▂▁

rea_eap_t1

Reading Achievement (EAP-Score) (T1)

Distribution

106 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
rea_eap_t1	Reading Achievement (EAP-Score) (T1)	numeric	106	0.9766777	-2.9	0.57	3.3	0.5320679	0.8566982	▁▂▇▆▁

rea_pvse_t1

Reading Achievement (Standard Error of EAP) (T1)

Distribution

106 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
rea_pvse_t1	Reading Achievement (Standard Error of EAP) (T1)	numeric	106	0.9766777	-0.35	0.36	1.3	0.3544869	0.2209968	▁▆▇▂▁

rea_eap_t2

Reading Achievement (EAP-Score) (T2)

Distribution

106 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
rea_eap_t2	Reading Achievement (EAP-Score) (T2)	numeric	106	0.9766777	-3.1	0.61	3.8	0.5290858	1.083816	▁▃▇▆▁

rea_pvse_t2

Reading Achievement (Standard Error of EAP) (T2)

Distribution

106 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
rea_pvse_t2	Reading Achievement (Standard Error of EAP) (T2)	numeric	106	0.9766777	-0.35	0.47	1.4	0.4689569	0.2362004	▁▅▇▂▁

sci_eap_t1

Science Achievement (EAP-Score) (T1)

Distribution

106 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
sci_eap_t1	Science Achievement (EAP-Score) (T1)	numeric	106	0.9766777	-2.6	0.56	2.7	0.4999433	0.8123823	▁▂▇▇▁

sci_pvse_t1

Science Achievement (Standard Error of EAP) (T1)

Distribution

106 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
sci_pvse_t1	Science Achievement (Standard Error of EAP) (T1)	numeric	106	0.9766777	-0.53	0.31	0.99	0.3123511	0.2169083	▁▂▇▅▁

sci_eap_t2

Science Achievement (EAP-Score) (T2)

Distribution

106 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
sci_eap_t2	Science Achievement (EAP-Score) (T2)	numeric	106	0.9766777	-3.9	0.59	3.5	0.5266654	1.078766	▁▂▇▇▂

sci_pvse_t2

Science Achievement (Standard Error of EAP) (T2)

Distribution

106 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
sci_pvse_t2	Science Achievement (Standard Error of EAP) (T2)	numeric	106	0.9766777	-0.48	0.38	1.2	0.3753996	0.2269247	▁▃▇▃▁

varizone

Variance zone (BRR)

Distribution

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
varizone	Variance zone (BRR)	numeric	0	1	1	35	68	35.12739	19.70251	▇▇▆▇▇

variunit

Variance unit (BRR)

Distribution

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
variunit	Variance unit (BRR)	numeric	0	1	1	2	3	1.573157	0.5679848	▇▁▇▁▁

totwgt

Student Weight (T1)

Distribution

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
totwgt	Student Weight (T1)	numeric	0	1	45	74	259	79.93327	26.18845	▇▂▁▁▁

wgtfac1

School Sampling Weight (T1)

Distribution

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
wgtfac1	School Sampling Weight (T1)	numeric	0	1	16	34	247	41.5136	26.20408	▇▁▁▁▁

wgtadj1

School Adjustment for Nonparticipation (T1)

Distribution

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
wgtadj1	School Adjustment for Nonparticipation (T1)	numeric	0	1	1	1	1.1	1.014686	0.0358404	▇▁▁▁▁

ppwgtadj1

School Adjustment for Nonparticipation (T2)

Distribution

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
ppwgtadj1	School Adjustment for Nonparticipation (T2)	numeric	0	1	1	1.2	2.9	1.328145	0.3501995	▇▂▁▁▁

wgtfac2

Class Sampling Weight (T1)

Distribution

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
wgtfac2	Class Sampling Weight (T1)	numeric	0	1	1	2	5	2.142904	0.8152288	▆▇▃▁▁

wgtadj3

Student Adjustment for Nonparticipation (T1)

Distribution

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
wgtadj3	Student Adjustment for Nonparticipation (T1)	numeric	0	1	1	1	1.4	1.042932	0.058029	▇▁▁▁▁

ppwgtadj3

Student Adjustment for Nonparticipation (T2)

Distribution

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
ppwgtadj3	Student Adjustment for Nonparticipation (T2)	numeric	0	1	0	1.3	3.6	1.314817	0.2356025	▁▇▂▁▁

pptotwgt

Student Weight (T2)

Distribution

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
pptotwgt	Student Weight (T2)	numeric	0	1	0	126	581	139.4262	65.69708	▆▇▁▁▁

ppschwgt

School Sampling Weight (T2)

Distribution

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
ppschwgt	School Sampling Weight (T2)	numeric	0	1	22	44	259	54.33942	34.32665	▇▁▁▁▁

ppwscwgt

Class Sampling Weight (T2)

Distribution

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
ppwscwgt	Class Sampling Weight (T2)	numeric	0	1	1	2	5	2.142904	0.8152288	▆▇▃▁▁

ppwcswgt

Student Weight (within-class) (T2)

Distribution

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
ppwcswgt	Student Weight (within-class) (T2)	numeric	0	1	0	1.3	3.7	1.372768	0.2684347	▁▇▂▁▁

ppwithinschwgt

Within-school Weight (T2)

Distribution

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
ppwithinschwgt	Within-school Weight (T2)	numeric	0	1	0	2.7	11	2.960829	1.330529	▃▇▂▁▁

Scale: Replicate_Weights_T2

Overview

Reliability: Not computed.

Missing: 0.

Reliability details

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
repwgt1	Replicate Weight 1	numeric	0	1	0	124	795	141.3353	103.40291	▇▃▁▁▁
repwgt2	Replicate Weight 2	numeric	0	1	0	131	870	143.8770	99.72277	▇▃▁▁▁
repwgt3	Replicate Weight 3	numeric	0	1	0	121	795	138.7104	96.46930	▇▅▁▁▁
repwgt4	Replicate Weight 4	numeric	0	1	0	116	795	137.0922	95.88147	▇▅▁▁▁
repwgt5	Replicate Weight 5	numeric	0	1	0	108	870	135.7929	101.53795	▇▃▁▁▁
repwgt6	Replicate Weight 6	numeric	0	1	0	127	870	138.2534	103.73726	▇▃▁▁▁
repwgt7	Replicate Weight 7	numeric	0	1	0	116	870	138.1014	100.61118	▇▃▁▁▁
repwgt8	Replicate Weight 8	numeric	0	1	0	115	795	140.6773	102.42989	▇▅▁▁▁
repwgt9	Replicate Weight 9	numeric	0	1	0	122	870	137.4579	101.46475	▇▃▁▁▁
repwgt10	Replicate Weight 10	numeric	0	1	0	124	870	139.3527	106.41261	▇▃▁▁▁
repwgt11	Replicate Weight 11	numeric	0	1	0	127	795	138.3137	99.06027	▇▃▁▁▁
repwgt12	Replicate Weight 12	numeric	0	1	0	126	795	139.9722	95.00992	▇▅▁▁▁
repwgt13	Replicate Weight 13	numeric	0	1	0	98	870	136.1768	110.69361	▇▂▁▁▁
repwgt14	Replicate Weight 14	numeric	0	1	0	124	870	143.0480	108.19663	▇▃▁▁▁
repwgt15	Replicate Weight 15	numeric	0	1	0	125	870	140.0608	97.59042	▇▃▁▁▁
repwgt16	Replicate Weight 16	numeric	0	1	0	113	870	136.0090	100.48807	▇▃▁▁▁
repwgt17	Replicate Weight 17	numeric	0	1	0	126	795	138.8097	95.40798	▇▃▁▁▁
repwgt18	Replicate Weight 18	numeric	0	1	0	117	870	139.2518	101.95308	▇▃▁▁▁
repwgt19	Replicate Weight 19	numeric	0	1	0	120	795	139.4781	102.67633	▇▅▁▁▁
repwgt20	Replicate Weight 20	numeric	0	1	0	122	795	137.8897	97.97130	▇▃▁▁▁
repwgt21	Replicate Weight 21	numeric	0	1	0	118	870	141.9441	108.31700	▇▃▁▁▁
repwgt22	Replicate Weight 22	numeric	0	1	0	110	795	138.1188	101.28339	▇▃▁▁▁
repwgt23	Replicate Weight 23	numeric	0	1	0	109	870	139.6600	104.19172	▇▃▁▁▁
repwgt24	Replicate Weight 24	numeric	0	1	0	104	870	132.3684	101.70347	▇▂▁▁▁
repwgt25	Replicate Weight 25	numeric	0	1	0	118	870	138.1311	102.44466	▇▃▁▁▁
repwgt26	Replicate Weight 26	numeric	0	1	0	124	870	139.8402	97.00183	▇▃▁▁▁
repwgt27	Replicate Weight 27	numeric	0	1	0	104	870	136.2324	104.61036	▇▂▁▁▁
repwgt28	Replicate Weight 28	numeric	0	1	0	116	870	138.8944	104.57166	▇▃▁▁▁
repwgt29	Replicate Weight 29	numeric	0	1	0	120	795	137.0759	91.47534	▇▃▁▁▁
repwgt30	Replicate Weight 30	numeric	0	1	0	118	870	141.2617	103.75189	▇▃▁▁▁
repwgt31	Replicate Weight 31	numeric	0	1	0	119	870	142.9135	103.45410	▇▃▁▁▁
repwgt32	Replicate Weight 32	numeric	0	1	0	130	795	137.6713	88.77373	▇▅▁▁▁
repwgt33	Replicate Weight 33	numeric	0	1	0	120	795	137.9555	95.62326	▇▃▁▁▁
repwgt34	Replicate Weight 34	numeric	0	1	0	122	795	136.7570	92.64326	▇▅▁▁▁
repwgt35	Replicate Weight 35	numeric	0	1	0	123	795	139.9210	97.34413	▇▃▁▁▁
repwgt36	Replicate Weight 36	numeric	0	1	0	106	870	138.6410	109.37922	▇▃▁▁▁
repwgt37	Replicate Weight 37	numeric	0	1	0	131	870	140.7353	96.58304	▇▃▁▁▁
repwgt38	Replicate Weight 38	numeric	0	1	0	111	795	140.8545	101.33468	▇▃▁▁▁
repwgt39	Replicate Weight 39	numeric	0	1	0	117	795	137.5557	96.90471	▇▃▁▁▁
repwgt40	Replicate Weight 40	numeric	0	1	0	122	795	142.1829	97.51020	▇▃▁▁▁
repwgt41	Replicate Weight 41	numeric	0	1	0	108	870	143.0536	109.87828	▇▃▁▁▁
repwgt42	Replicate Weight 42	numeric	0	1	0	125	795	137.5979	90.30249	▇▃▁▁▁
repwgt43	Replicate Weight 43	numeric	0	1	0	113	870	141.1744	107.53273	▇▃▁▁▁
repwgt44	Replicate Weight 44	numeric	0	1	0	115	795	136.5262	96.23351	▇▃▁▁▁
repwgt45	Replicate Weight 45	numeric	0	1	0	120	870	141.3999	103.09498	▇▃▁▁▁
repwgt46	Replicate Weight 46	numeric	0	1	0	120	795	139.8936	100.08822	▇▅▁▁▁
repwgt47	Replicate Weight 47	numeric	0	1	0	110	870	137.4118	101.65486	▇▃▁▁▁
repwgt48	Replicate Weight 48	numeric	0	1	0	124	795	139.4721	94.05706	▇▅▁▁▁
repwgt49	Replicate Weight 49	numeric	0	1	0	117	870	137.0212	100.20391	▇▃▁▁▁
repwgt50	Replicate Weight 50	numeric	0	1	0	119	870	139.3270	101.73055	▇▃▁▁▁
repwgt51	Replicate Weight 51	numeric	0	1	0	121	870	136.9854	98.76560	▇▂▁▁▁
repwgt52	Replicate Weight 52	numeric	0	1	0	133	795	142.2607	94.73362	▇▅▁▁▁
repwgt53	Replicate Weight 53	numeric	0	1	0	121	795	136.8246	96.15658	▇▃▁▁▁
repwgt54	Replicate Weight 54	numeric	0	1	0	114	870	138.0245	103.27789	▇▃▁▁▁
repwgt55	Replicate Weight 55	numeric	0	1	0	117	870	136.8349	96.74454	▇▃▁▁▁
repwgt56	Replicate Weight 56	numeric	0	1	0	119	870	138.4315	103.94228	▇▃▁▁▁
repwgt57	Replicate Weight 57	numeric	0	1	0	120	870	139.7903	103.58845	▇▃▁▁▁
repwgt58	Replicate Weight 58	numeric	0	1	0	121	795	140.5110	101.40648	▇▅▁▁▁
repwgt59	Replicate Weight 59	numeric	0	1	0	127	795	140.3117	97.83459	▇▃▁▁▁
repwgt60	Replicate Weight 60	numeric	0	1	0	118	870	139.2819	105.67881	▇▃▁▁▁
repwgt61	Replicate Weight 61	numeric	0	1	0	128	795	143.0840	96.75067	▇▅▁▁▁
repwgt62	Replicate Weight 62	numeric	0	1	0	117	795	139.6774	102.00615	▇▅▁▁▁
repwgt63	Replicate Weight 63	numeric	0	1	0	123	795	140.6145	96.28432	▇▅▁▁▁
repwgt64	Replicate Weight 64	numeric	0	1	0	107	795	135.6937	97.67221	▇▃▁▁▁
repwgt65	Replicate Weight 65	numeric	0	1	0	125	795	145.0677	103.11896	▇▃▁▁▁
repwgt66	Replicate Weight 66	numeric	0	1	0	98	795	137.6943	103.33632	▇▃▁▁▁
repwgt67	Replicate Weight 67	numeric	0	1	0	124	870	141.1666	105.16667	▇▃▁▁▁
repwgt68	Replicate Weight 68	numeric	0	1	0	122	795	136.1498	89.72150	▇▅▁▁▁
repwgt69	Replicate Weight 69	numeric	0	1	0	110	870	139.6276	108.61119	▇▃▁▁▁
repwgt70	Replicate Weight 70	numeric	0	1	0	129	870	140.0302	99.68186	▇▃▁▁▁
repwgt71	Replicate Weight 71	numeric	0	1	0	121	795	142.7646	100.43764	▇▅▁▁▁
repwgt72	Replicate Weight 72	numeric	0	1	0	124	870	139.7686	102.73142	▇▃▁▁▁
repwgt73	Replicate Weight 73	numeric	0	1	0	114	795	136.7902	92.09626	▇▃▁▁▁
repwgt74	Replicate Weight 74	numeric	0	1	0	109	795	136.4012	93.31568	▇▅▁▁▁
repwgt75	Replicate Weight 75	numeric	0	1	0	115	795	137.8941	99.41581	▇▃▁▁▁
repwgt76	Replicate Weight 76	numeric	0	1	0	125	795	139.3673	96.85766	▇▃▁▁▁
repwgt77	Replicate Weight 77	numeric	0	1	0	112	870	139.9678	106.17882	▇▃▁▁▁
repwgt78	Replicate Weight 78	numeric	0	1	0	118	870	136.4029	99.83635	▇▃▁▁▁
repwgt79	Replicate Weight 79	numeric	0	1	0	125	795	135.7808	89.20268	▇▅▁▁▁
repwgt80	Replicate Weight 80	numeric	0	1	0	118	795	139.4817	99.56779	▇▃▁▁▁

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "PISA-Plus 2012-2013: 9th graders achievement gains over one school year",
  "identifier": "https://doi.org/10.5159/IQB_PISA_Plus_2012-13_CF_v1",
  "creator": " Aleksander Kocaj (Research Data Centre at the IQB)",
  "datePublished": "2020-04-28",
  "temporalCoverage": "2012 - 2013",
  "description": "Campus File for the PISA-Plus 2012-2013 data set based on the corresponding Scientific Use Files (http://doi.org/10.5159/IQB_PISA_Plus_2012-13_v2).\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n[truncated]\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.8.2).",
  "citation": "Forschungsdatenzentrum am Institut zur Qualitätsentwicklung im Bildungswesen (FDZ am IQB) [Research Data Centre at the Institute for Educational Quality Improvement (FDZ at IQB)] (2020). Programme for International Student Assessment - Plus 2012, 2013 (PISA Plus 2012-2013) - Campus File (Version 1) [Data set]. Berlin: IQB - Institut zur Qualitätsentwicklung im Bildungswesen. http://doi.org/10.5159/IQB_PISA_Plus_2012-13_CF_v1",
  "keywords": ["Campus File", "Large-Scale Assessment", "Germany", "Longitudinal Design", "Grade 9 - 10", "Students", "Achievement Tests", "Learning Enivronment"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "Version_v1_2020_04_18",
      "description": "Version number (v1)",
      "@type": "propertyValue"
    },
    {
      "name": "idstud",
      "description": "Student-ID",
      "@type": "propertyValue"
    },
    {
      "name": "idschool",
      "description": "School-ID",
      "@type": "propertyValue"
    },
    {
      "name": "idclass",
      "description": "Class-ID",
      "@type": "propertyValue"
    },
    {
      "name": "schtype",
      "description": "School track",
      "value": "1. Gymnasium (academic track),\n2. Realschule,\n3. schools with several courses of education",
      "@type": "propertyValue"
    },
    {
      "name": "sameteach",
      "description": "Same math teacher in both school years",
      "value": "1. No,\n2. Yes",
      "@type": "propertyValue"
    },
    {
      "name": "g8g9",
      "description": "8 years to Abitur (G8) or 9 years to Abitur (G9)",
      "value": "1. G8 - 8 years to abitur,\n2. G9 - 9 years to abitur",
      "@type": "propertyValue"
    },
    {
      "name": "ganztag",
      "description": "All-day school service available",
      "value": "1. No,\n2. Yes",
      "@type": "propertyValue"
    },
    {
      "name": "classsize",
      "description": "Class size",
      "@type": "propertyValue"
    },
    {
      "name": "repeated",
      "description": "Grade repetition",
      "value": "1. Did not repeat a grade,\n2. Repeated a grade",
      "@type": "propertyValue"
    },
    {
      "name": "gender",
      "description": "Gender",
      "value": "1. Female,\n2. Male",
      "@type": "propertyValue"
    },
    {
      "name": "age",
      "description": "Age of student at T1",
      "@type": "propertyValue"
    },
    {
      "name": "language",
      "description": "Language at home",
      "value": "1. German,\n2. Bosnian,\n3. Greek,\n4. Italian,\n5. Kurdish,\n6. Polish,\n7. Russian,\n8. Serbian,\n9. Turkish,\n10. Another language",
      "@type": "propertyValue"
    },
    {
      "name": "migration",
      "description": "Immigration status",
      "value": "1. Native,\n2. First-Generation,\n3. Second-Generation",
      "@type": "propertyValue"
    },
    {
      "name": "hisced",
      "description": "Highest educational level of parents",
      "value": "1. None,\n2. ISCED 2,\n3. ISCED 3B, C,\n4. ISCED 3A, 4,\n5. ISCED 5B,\n6. ISCED 5A, 6",
      "@type": "propertyValue"
    },
    {
      "name": "hisei",
      "description": "Highest parental occupational status",
      "@type": "propertyValue"
    },
    {
      "name": "homepos",
      "description": "Home possessions (WLE)",
      "@type": "propertyValue"
    },
    {
      "name": "books",
      "description": "How many books at home",
      "value": "1. 0-10 books,\n2. 11-25 books,\n3. 26-100 books,\n4. 101-200 books,\n5. 201-500 books,\n6. More than 500 books",
      "@type": "propertyValue"
    },
    {
      "name": "pared",
      "description": "Highest parental education in years",
      "@type": "propertyValue"
    },
    {
      "name": "computer_age",
      "description": "First use of computers",
      "value": "1. 6 years old or younger,\n2. 7-9 years old,\n3. 10-12 years old,\n4. 13 years old  or older,\n5. Never",
      "@type": "propertyValue"
    },
    {
      "name": "internet_age",
      "description": "First access to internet",
      "value": "1. 6 years old or younger,\n2. 7-9 years old,\n3. 10-12 years old,\n4. 13 years old or older,\n5. Never",
      "@type": "propertyValue"
    },
    {
      "name": "int_use_a_t1",
      "description": "Internet out-of-school - weekday",
      "value": "1. No time,\n2. 1-30 minutes,\n3. 31-60 minutes,\n4. Between 1 and 2 hours,\n5. Between 2 and 4 hours,\n6. Between 4 and 6 hours,\n7. More than 6 hours",
      "@type": "propertyValue"
    },
    {
      "name": "int_use_b_t1",
      "description": "Internet out-of-school - weekend",
      "value": "1. No time,\n2. 1-30 minutes,\n3. 31-60 minutes,\n4. Between 1 and 2 hours,\n5. Between 2 and 4 hours,\n6. Between 4 and 6 hours,\n7. More than 6 hours",
      "@type": "propertyValue"
    },
    {
      "name": "grade_de_t1",
      "description": "School grade in German (First school semester) (T1)",
      "value": "1. very good,\n2. good,\n3. satisfactory,\n4. sufficient,\n5. deficient",
      "@type": "propertyValue"
    },
    {
      "name": "grade_ma_t1",
      "description": "School grade in mathematics (First school semester) (T1)",
      "value": "1. very good,\n2. good,\n3. satisfactory,\n4. sufficient,\n5. deficient",
      "@type": "propertyValue"
    },
    {
      "name": "grade_bio_t1",
      "description": "School grade in biology (First school semester) (T1)",
      "value": "1. very good,\n2. good,\n3. satisfactory,\n4. sufficient,\n5. deficient",
      "@type": "propertyValue"
    },
    {
      "name": "grade_che_t1",
      "description": "School grade in chemistry (First school semester) (T1)",
      "value": "1. very good,\n2. good,\n3. satisfactory,\n4. sufficient,\n5. deficient",
      "@type": "propertyValue"
    },
    {
      "name": "grade_phy_t1",
      "description": "School grade in physics (First school semester) (T1)",
      "value": "1. very good,\n2. good,\n3. satisfactory,\n4. sufficient,\n5. deficient",
      "@type": "propertyValue"
    },
    {
      "name": "grade_sci_t1",
      "description": "School grade in science (First school semester) (T1)",
      "value": "1. very good,\n2. good,\n3. satisfactory,\n4. sufficient,\n5. deficient",
      "@type": "propertyValue"
    },
    {
      "name": "Truancy_T1",
      "description": "Truancy (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "Math_Interest_T1",
      "description": "Math Interest (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "Instrumental_Motivation_T1",
      "description": "Instrumental Motivation (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "Subjective_Norms_Friends_T1",
      "description": "Subjective Norms - Friends (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "Subjective_Norms_Parents_T1",
      "description": "Subjective Norms - Parents (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "Math_Anxiety_T1",
      "description": "Math Anxiety (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "Math_Self_Concept_T1",
      "description": "Math Self-Concept (T1)",
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      "name": "teach_e_t2",
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      "minValue": 1,
      "@type": "propertyValue"
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      "name": "cognact_a_t1",
      "description": "Teacher Encourages to Reflect Problems",
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      "@type": "propertyValue"
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      "name": "cognact_b_t1",
      "description": "Gives Problems that Require to Think",
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      "minValue": 1,
      "@type": "propertyValue"
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      "name": "cognact_c_t1",
      "description": "Asks to Use Own Procedures",
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      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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      "name": "cognact_d_t1",
      "description": "Presents Problems with No Obvious Solutions",
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      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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      "name": "cognact_e_t1",
      "description": "Presents Problems in Different Contexts",
      "value": "1. Never or rarely,\n2. Sometimes,\n3. Often,\n4. Always or almost always",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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      "name": "cognact_f_t1",
      "description": "Helps Learn from Mistakes",
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      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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    {
      "name": "cognact_g_t1",
      "description": "Asks for Explanations",
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      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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    {
      "name": "cognact_h_t1",
      "description": "Apply What We Learned",
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      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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    {
      "name": "cognact_i_t1",
      "description": "Problems with Multiple Solutions",
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      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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      "name": "cognact_a_t2",
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      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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      "name": "cognact_b_t2",
      "description": "Gives Problems that Require to Think",
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      "minValue": 1,
      "@type": "propertyValue"
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      "name": "cognact_c_t2",
      "description": "Asks to Use Own Procedures",
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      "minValue": 1,
      "@type": "propertyValue"
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      "name": "cognact_d_t2",
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      "@type": "propertyValue"
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      "name": "cognact_e_t2",
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      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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      "name": "cognact_f_t2",
      "description": "Helps Learn from Mistakes",
      "value": "1. Never or rarely,\n2. Sometimes,\n3. Often,\n4. Always or almost always",
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      "minValue": 1,
      "@type": "propertyValue"
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      "name": "cognact_g_t2",
      "description": "Asks for Explanations",
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      "minValue": 1,
      "@type": "propertyValue"
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      "name": "cognact_h_t2",
      "description": "Apply What We Learned",
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      "minValue": 1,
      "@type": "propertyValue"
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    {
      "name": "cognact_i_t2",
      "description": "Problems with Multiple Solutions",
      "value": "1. Never or rarely,\n2. Sometimes,\n3. Often,\n4. Always or almost always",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "discpline_a_t1",
      "description": "Students Don’t Listen",
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      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "discpline_b_t1",
      "description": "Noise and Disorder",
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      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "discpline_c_t1",
      "description": "Teacher Has to Wait Until its Quiet",
      "value": "1. Never or Hardly Ever,\n2. Some Lessons,\n3. Most Lessons,\n4. Every Lesson",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "discpline_d_t1",
      "description": "Students Don’t Work Well",
      "value": "1. Never or Hardly Ever,\n2. Some Lessons,\n3. Most Lessons,\n4. Every Lesson",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "discpline_e_t1",
      "description": "Students Start Working Late",
      "value": "1. Never or Hardly Ever,\n2. Some Lessons,\n3. Most Lessons,\n4. Every Lesson",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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    {
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      "description": "Students Don’t Listen",
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      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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    {
      "name": "discpline_b_t2",
      "description": "Noise and Disorder",
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      "maxValue": 4,
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    {
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      "description": "Teacher Has to Wait Until its Quiet",
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      "maxValue": 4,
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      "@type": "propertyValue"
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    {
      "name": "discpline_d_t2",
      "description": "Students Don’t Work Well",
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      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "discpline_e_t2",
      "description": "Students Start Working Late",
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      "minValue": 1,
      "@type": "propertyValue"
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    {
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      "description": "Get Along with Teachers",
      "value": "1. Strongly disagree,\n2. Disagree,\n3. Agree,\n4. Strongly agree",
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      "minValue": 1,
      "@type": "propertyValue"
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    {
      "name": "relation_b_t1",
      "description": "Teachers Are Interested",
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      "minValue": 1,
      "@type": "propertyValue"
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      "name": "relation_c_t1",
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      "minValue": 1,
      "@type": "propertyValue"
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      "name": "relation_d_t1",
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      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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    {
      "name": "relation_e_t1",
      "description": "Teachers Treat Students Fair",
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      "minValue": 1,
      "@type": "propertyValue"
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      "minValue": 1,
      "@type": "propertyValue"
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    {
      "name": "relation_b_t2",
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      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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    {
      "name": "relation_c_t2",
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      "@type": "propertyValue"
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    {
      "name": "relation_d_t2",
      "description": "Teachers Help Students",
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      "@type": "propertyValue"
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      "name": "relation_e_t2",
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      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "belong_a_t1R",
      "description": "Feel Like Outsider (inverted item)",
      "value": "4. Strongly disagree,\n3. Disagree,\n2. Agree,\n1. Strongly agree",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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    {
      "name": "belong_b_t1",
      "description": "Make Friends Easily",
      "value": "1. Strongly disagree,\n2. Disagree,\n3. Agree,\n4. Strongly agree",
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      "minValue": 1,
      "@type": "propertyValue"
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      "name": "belong_c_t1",
      "description": "Belong at School",
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      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "belong_d_t1R",
      "description": "Feel Awkward at School (inverted item)",
      "value": "4. Strongly disagree,\n3. Disagree,\n2. Agree,\n1. Strongly agree",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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      "name": "belong_e_t1",
      "description": "Liked by Other Students",
      "value": "1. Strongly disagree,\n2. Disagree,\n3. Agree,\n4. Strongly agree",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "belong_f_t1R",
      "description": "Feel Lonely at School (inverted item)",
      "value": "4. Strongly disagree,\n3. Disagree,\n2. Agree,\n1. Strongly agree",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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      "name": "belong_g_t1",
      "description": "Feel Happy at School",
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      "minValue": 1,
      "@type": "propertyValue"
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      "name": "belong_h_t1",
      "description": "Things Are Ideal at School",
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      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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      "description": "Satisfied at School",
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      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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      "name": "belong_a_t2R",
      "description": "Feel Like Outsider (inverted item)",
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      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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      "name": "belong_b_t2",
      "description": "Make Friends Easily",
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      "minValue": 1,
      "@type": "propertyValue"
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      "minValue": 1,
      "@type": "propertyValue"
    },
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      "name": "belong_d_t2R",
      "description": "Feel Awkward at School (inverted item)",
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      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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    {
      "name": "belong_e_t2",
      "description": "Liked by Other Students",
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      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "belong_f_t2R",
      "description": "Feel Lonely at School (inverted item)",
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      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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      "name": "belong_g_t2",
      "description": "Feel Happy at School",
      "value": "1. Strongly disagree,\n2. Disagree,\n3. Agree,\n4. Strongly agree",
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      "minValue": 1,
      "@type": "propertyValue"
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      "name": "belong_h_t2",
      "description": "Things Are Ideal at School",
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      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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      "name": "belong_i_t2",
      "description": "Satisfied at School",
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      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "attitud_a_t1R",
      "description": "Does Little to Prepare Me for Life (inverted item)",
      "value": "4. Strongly disagree,\n3. Disagree,\n2. Agree,\n1. Strongly agree",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "attitud_b_t1R",
      "description": "Waste of Time (inverted item)",
      "value": "4. Strongly disagree,\n3. Disagree,\n2. Agree,\n1. Strongly agree",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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    {
      "name": "attitud_c_t1",
      "description": "Gave Me Confidence",
      "value": "1. Strongly disagree,\n2. Disagree,\n3. Agree,\n4. Strongly agree",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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    {
      "name": "attitud_d_t1",
      "description": "Useful for Job",
      "value": "1. Strongly disagree,\n2. Disagree,\n3. Agree,\n4. Strongly agree",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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    {
      "name": "attitud_e_t1",
      "description": "Helps to Get a Job",
      "value": "1. Strongly disagree,\n2. Disagree,\n3. Agree,\n4. Strongly agree",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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    {
      "name": "attitud_f_t1",
      "description": "Prepare for College",
      "value": "1. Strongly disagree,\n2. Disagree,\n3. Agree,\n4. Strongly agree",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
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    {
      "name": "attitud_g_t1",
      "description": "Enjoy Good Grades",
      "value": "1. Strongly disagree,\n2. Disagree,\n3. Agree,\n4. Strongly agree",
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      "minValue": 1,
      "@type": "propertyValue"
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    {
      "name": "attitud_h_t1",
      "description": "Trying Hard is Important",
      "value": "1. Strongly disagree,\n2. Disagree,\n3. Agree,\n4. Strongly agree",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "attitud_a_t2R",
      "description": "Does Little to Prepare Me for Life (inverted item)",
      "value": "4. Strongly disagree,\n3. Disagree,\n2. Agree,\n1. Strongly agree",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "attitud_b_t2R",
      "description": "Waste of Time (inverted item)",
      "value": "4. Strongly disagree,\n3. Disagree,\n2. Agree,\n1. Strongly agree",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "attitud_c_t2",
      "description": "Gave Me Confidence",
      "value": "1. Strongly disagree,\n2. Disagree,\n3. Agree,\n4. Strongly agree",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "attitud_d_t2",
      "description": "Attitude towards School  - Useful for Job",
      "value": "1. Strongly disagree,\n2. Disagree,\n3. Agree,\n4. Strongly agree",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "attitud_e_t2",
      "description": "Helps to Get a Job",
      "value": "1. Strongly disagree,\n2. Disagree,\n3. Agree,\n4. Strongly agree",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "attitud_f_t2",
      "description": "Prepare for College",
      "value": "1. Strongly disagree,\n2. Disagree,\n3. Agree,\n4. Strongly agree",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "attitud_g_t2",
      "description": "Enjoy Good Grades",
      "value": "1. Strongly disagree,\n2. Disagree,\n3. Agree,\n4. Strongly agree",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "attitud_h_t2",
      "description": "Trying Hard is Important",
      "value": "1. Strongly disagree,\n2. Disagree,\n3. Agree,\n4. Strongly agree",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Phind_a_t2",
      "description": "Student truancy",
      "value": "1. Not at all,\n2. Very little,\n3. To some extent,\n4. A lot",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Phind_b_t2",
      "description": "Skipping classes",
      "value": "1. Not at all,\n2. Very little,\n3. To some extent,\n4. A lot",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Phind_c_t2",
      "description": "Students being late",
      "value": "1. Not at all,\n2. Very little,\n3. To some extent,\n4. A lot",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Phind_d_t2",
      "description": "Students skipping events",
      "value": "1. Not at all,\n2. Very little,\n3. To some extent,\n4. A lot",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Phind_e_t2",
      "description": "Students lacking respect",
      "value": "1. Not at all,\n2. Very little,\n3. To some extent,\n4. A lot",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Phind_f_t2",
      "description": "Student Disruption",
      "value": "1. Not at all,\n2. Very little,\n3. To some extent,\n4. A lot",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Phind_g_t2",
      "description": "Student drug use",
      "value": "1. Not at all,\n2. Very little,\n3. To some extent,\n4. A lot",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Phind_h_t2",
      "description": "Students being bullied",
      "value": "1. Not at all,\n2. Very little,\n3. To some extent,\n4. A lot",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Phind_i_t2",
      "description": "Students not encouraged",
      "value": "1. Not at all,\n2. Very little,\n3. To some extent,\n4. A lot",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Phind_j_t2",
      "description": "Poor student-teacher relations",
      "value": "1. Not at all,\n2. Very little,\n3. To some extent,\n4. A lot",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Phind_k_t2",
      "description": "Heterogeneous classes",
      "value": "1. Not at all,\n2. Very little,\n3. To some extent,\n4. A lot",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Phind_l_t2",
      "description": "Diverse ethnic backgrounds",
      "value": "1. Not at all,\n2. Very little,\n3. To some extent,\n4. A lot",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Phind_m_t2",
      "description": "Teachers low expectations",
      "value": "1. Not at all,\n2. Very little,\n3. To some extent,\n4. A lot",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Phind_n_t2",
      "description": "Student needs not met",
      "value": "1. Not at all,\n2. Very little,\n3. To some extent,\n4. A lot",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Phind_o_t2",
      "description": "Teacher absenteeism",
      "value": "1. Not at all,\n2. Very little,\n3. To some extent,\n4. A lot",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Phind_p_t2",
      "description": "Staff resisting change",
      "value": "1. Not at all,\n2. Very little,\n3. To some extent,\n4. A lot",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Phind_q_t2",
      "description": "Teachers too strict",
      "value": "1. Not at all,\n2. Very little,\n3. To some extent,\n4. A lot",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Phind_r_t2",
      "description": "Teachers being late",
      "value": "1. Not at all,\n2. Very little,\n3. To some extent,\n4. A lot",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Phind_s_t2",
      "description": "Teachers being unprepared",
      "value": "1. Not at all,\n2. Very little,\n3. To some extent,\n4. A lot",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Pcult_a_t2",
      "description": "Academic success of students from different cultural and ethnic backgrounds",
      "value": "1. better when all students adopt German culture and values,\n2. better when cultural differences are valued",
      "maxValue": 2,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Pcult_b_t2",
      "description": "Academic success of multilingual students",
      "value": "1. important to provide extra lessons in German language,\n2. important to provide extra lessons in original language",
      "maxValue": 2,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Pcult_c_t2R",
      "description": "School cohesion",
      "value": "2. better when school promotes cultural differences,\n1. better when students from different backgrounds assimilate",
      "maxValue": 2,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "Pcult_e_t2",
      "description": "School cohesion",
      "value": "1. better when all students speak same language,\n2. better when school promotes linguistic diversity",
      "maxValue": 2,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "ma_wle_t1",
      "description": "Math Achievement (WLE-Score) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "ma_se_t1",
      "description": "Math Achievement (Standard Error of WLE) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "ma_wle_t2",
      "description": "Math Achievement (WLE-Score) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "ma_se_t2",
      "description": "Math Achievement (Standard Error of WLE) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "rea_wle_t1",
      "description": "Reading Achievement (WLE-Score) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "rea_se_t1",
      "description": "Reading Achievement (Standard Error of WLE) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "rea_wle_t2",
      "description": "Reading Achievement (WLE-Score) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "rea_se_t2",
      "description": "Reading Achievement (Standard Error of WLE) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "sci_wle_t1",
      "description": "Science Achievement (WLE-Score) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "sci_se_t1",
      "description": "Science Achievement (Standard Error of WLE) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "sci_wle_t2",
      "description": "Science Achievement (WLE-Score) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "sci_se_t2",
      "description": "Science Achievement (Standard Error of WLE) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "ma_eap_t1",
      "description": "Math Achievement (EAP-Score) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "ma_pvse_t1",
      "description": "Math Achievement (Standard Error of EAP) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "ma_eap_t2",
      "description": "Math Achievement (EAP-Score) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "ma_pvse_t2",
      "description": "Math Achievement (Standard Error of EAP) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "rea_eap_t1",
      "description": "Reading Achievement (EAP-Score) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "rea_pvse_t1",
      "description": "Reading Achievement (Standard Error of EAP) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "rea_eap_t2",
      "description": "Reading Achievement (EAP-Score) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "rea_pvse_t2",
      "description": "Reading Achievement (Standard Error of EAP) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "sci_eap_t1",
      "description": "Science Achievement (EAP-Score) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "sci_pvse_t1",
      "description": "Science Achievement (Standard Error of EAP) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "sci_eap_t2",
      "description": "Science Achievement (EAP-Score) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "sci_pvse_t2",
      "description": "Science Achievement (Standard Error of EAP) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "ma_pv1_t1",
      "description": "Math Achievement (Plausible Value 1) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "ma_pv2_t1",
      "description": "Math Achievement (Plausible Value 2) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "ma_pv3_t1",
      "description": "Math Achievement (Plausible Value 3) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "ma_pv4_t1",
      "description": "Math Achievement (Plausible Value 4) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "ma_pv5_t1",
      "description": "Math Achievement (Plausible Value 5) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "ma_pv1_t2",
      "description": "Math Achievement (Plausible Value 1) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "ma_pv2_t2",
      "description": "Math Achievement (Plausible Value 2) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "ma_pv3_t2",
      "description": "Math Achievement (Plausible Value 3) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "ma_pv4_t2",
      "description": "Math Achievement (Plausible Value 4) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "ma_pv5_t2",
      "description": "Math Achievement (Plausible Value 5) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "rea_pv1_t1",
      "description": "Reading Achievement (Plausible Value 1) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "rea_pv2_t1",
      "description": "Reading Achievement (Plausible Value 2) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "rea_pv3_t1",
      "description": "Reading Achievement (Plausible Value 3) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "rea_pv4_t1",
      "description": "Reading Achievement (Plausible Value 4) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "rea_pv5_t1",
      "description": "Reading Achievement (Plausible Value 5) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "rea_pv1_t2",
      "description": "Reading Achievement (Plausible Value 1) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "rea_pv2_t2",
      "description": "Reading Achievement (Plausible Value 2) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "rea_pv3_t2",
      "description": "Reading Achievement (Plausible Value 3) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "rea_pv4_t2",
      "description": "Reading Achievement (Plausible Value 4) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "rea_pv5_t2",
      "description": "Reading Achievement (Plausible Value 5) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "sci_pv1_t1",
      "description": "Science Achievement (Plausible Value 1) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "sci_pv2_t1",
      "description": "Science Achievement (Plausible Value 2) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "sci_pv3_t1",
      "description": "Science Achievement (Plausible Value 3) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "sci_pv4_t1",
      "description": "Science Achievement (Plausible Value 4) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "sci_pv5_t1",
      "description": "Science Achievement (Plausible Value 5) (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "sci_pv1_t2",
      "description": "Science Achievement (Plausible Value 1) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "sci_pv2_t2",
      "description": "Science Achievement (Plausible Value 2) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "sci_pv3_t2",
      "description": "Science Achievement (Plausible Value 3) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "sci_pv4_t2",
      "description": "Science Achievement (Plausible Value 4) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "sci_pv5_t2",
      "description": "Science Achievement (Plausible Value 5) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "varizone",
      "description": "Variance zone (BRR)",
      "@type": "propertyValue"
    },
    {
      "name": "variunit",
      "description": "Variance unit (BRR)",
      "@type": "propertyValue"
    },
    {
      "name": "totwgt",
      "description": "Student Weight (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "wgtfac1",
      "description": "School Sampling Weight (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "wgtadj1",
      "description": "School Adjustment for Nonparticipation (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "ppwgtadj1",
      "description": "School Adjustment for Nonparticipation (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "wgtfac2",
      "description": "Class Sampling Weight (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "wgtadj3",
      "description": "Student Adjustment for Nonparticipation (T1)",
      "@type": "propertyValue"
    },
    {
      "name": "ppwgtadj3",
      "description": "Student Adjustment for Nonparticipation (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "pptotwgt",
      "description": "Student Weight (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "ppschwgt",
      "description": "School Sampling Weight (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "ppwscwgt",
      "description": "Class Sampling Weight (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "ppwcswgt",
      "description": "Student Weight (within-class) (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "ppwithinschwgt",
      "description": "Within-school Weight (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "Replicate_Weights_T2",
      "description": "Replicate Weights (T2)",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt1",
      "description": "Replicate Weight 1",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt2",
      "description": "Replicate Weight 2",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt3",
      "description": "Replicate Weight 3",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt4",
      "description": "Replicate Weight 4",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt5",
      "description": "Replicate Weight 5",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt6",
      "description": "Replicate Weight 6",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt7",
      "description": "Replicate Weight 7",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt8",
      "description": "Replicate Weight 8",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt9",
      "description": "Replicate Weight 9",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt10",
      "description": "Replicate Weight 10",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt11",
      "description": "Replicate Weight 11",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt12",
      "description": "Replicate Weight 12",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt13",
      "description": "Replicate Weight 13",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt14",
      "description": "Replicate Weight 14",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt15",
      "description": "Replicate Weight 15",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt16",
      "description": "Replicate Weight 16",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt17",
      "description": "Replicate Weight 17",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt18",
      "description": "Replicate Weight 18",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt19",
      "description": "Replicate Weight 19",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt20",
      "description": "Replicate Weight 20",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt21",
      "description": "Replicate Weight 21",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt22",
      "description": "Replicate Weight 22",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt23",
      "description": "Replicate Weight 23",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt24",
      "description": "Replicate Weight 24",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt25",
      "description": "Replicate Weight 25",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt26",
      "description": "Replicate Weight 26",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt27",
      "description": "Replicate Weight 27",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt28",
      "description": "Replicate Weight 28",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt29",
      "description": "Replicate Weight 29",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt30",
      "description": "Replicate Weight 30",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt31",
      "description": "Replicate Weight 31",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt32",
      "description": "Replicate Weight 32",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt33",
      "description": "Replicate Weight 33",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt34",
      "description": "Replicate Weight 34",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt35",
      "description": "Replicate Weight 35",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt36",
      "description": "Replicate Weight 36",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt37",
      "description": "Replicate Weight 37",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt38",
      "description": "Replicate Weight 38",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt39",
      "description": "Replicate Weight 39",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt40",
      "description": "Replicate Weight 40",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt41",
      "description": "Replicate Weight 41",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt42",
      "description": "Replicate Weight 42",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt43",
      "description": "Replicate Weight 43",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt44",
      "description": "Replicate Weight 44",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt45",
      "description": "Replicate Weight 45",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt46",
      "description": "Replicate Weight 46",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt47",
      "description": "Replicate Weight 47",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt48",
      "description": "Replicate Weight 48",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt49",
      "description": "Replicate Weight 49",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt50",
      "description": "Replicate Weight 50",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt51",
      "description": "Replicate Weight 51",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt52",
      "description": "Replicate Weight 52",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt53",
      "description": "Replicate Weight 53",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt54",
      "description": "Replicate Weight 54",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt55",
      "description": "Replicate Weight 55",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt56",
      "description": "Replicate Weight 56",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt57",
      "description": "Replicate Weight 57",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt58",
      "description": "Replicate Weight 58",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt59",
      "description": "Replicate Weight 59",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt60",
      "description": "Replicate Weight 60",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt61",
      "description": "Replicate Weight 61",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt62",
      "description": "Replicate Weight 62",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt63",
      "description": "Replicate Weight 63",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt64",
      "description": "Replicate Weight 64",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt65",
      "description": "Replicate Weight 65",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt66",
      "description": "Replicate Weight 66",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt67",
      "description": "Replicate Weight 67",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt68",
      "description": "Replicate Weight 68",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt69",
      "description": "Replicate Weight 69",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt70",
      "description": "Replicate Weight 70",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt71",
      "description": "Replicate Weight 71",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt72",
      "description": "Replicate Weight 72",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt73",
      "description": "Replicate Weight 73",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt74",
      "description": "Replicate Weight 74",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt75",
      "description": "Replicate Weight 75",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt76",
      "description": "Replicate Weight 76",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt77",
      "description": "Replicate Weight 77",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt78",
      "description": "Replicate Weight 78",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt79",
      "description": "Replicate Weight 79",
      "@type": "propertyValue"
    },
    {
      "name": "repwgt80",
      "description": "Replicate Weight 80",
      "@type": "propertyValue"
    }
  ]
}`