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The German Panel of Teacher Education Students: Surveying (Prospective) Teachers from Higher Education into Working Life Cover

The German Panel of Teacher Education Students: Surveying (Prospective) Teachers from Higher Education into Working Life

Open Access
|May 2023

Figures & Tables

Table 1

Overview of surveys and tests.

WAVEMODE/METHODSTARTENDCOMMENT
1PAPI (recruitment survey) & CATI30.11.201028.01.2012
1TCompetence test21.03.201122.07.2011Group administered PBA
2CAWI26.10.201111.12.2011
3CATI10.04.201218.08.2012
4CAWI29.10.201217.12.2012
5CATI19.03.201303.08.2013
5TCompetence test02.05.201331.07.2013Mode experiment: group administered PBA/E-Pen/CBA & individual CBWA
6CAWI29.10.201315.12.2013
7TCompetence test24.01.201406.04.2014Individual subject-specific PBA
7a)CATI28.04.201413.09.2014
8b)CAWI29.10.201407.12.2014
9CATI27.04.201531.08.2015
10CATI21.03.201607.08.2016
11CAWI02.11.201611.12.2016
12CAPI
CATI
27.02.2017
25.04.2017
04.08.2017
23.09.2017
Mode experiment: CAPI/CATI
12TCompetence test27.02.201730.11.2017Mode experiment: individual CBA and CBWA
13CATI23.04.201801.09.2018
14CAWI07.11.201816.12.2018
15CATI18.03.201903.08.2019
16CATI16.03.202001.08.2020
CAWI13.05.202022.06.2020Additional NEPS survey on the Corona pandemic, published since version 14.1.0 of the Scientific Use File (SUF)
17CAWI04.11.202011.01.2021
18c)CATI22.03.202121.08.2021
19CATI +
CAWI
19.04.202217.09.2022
13.11.2022
Combined CATI and CAWI survey
a) Without the LAP oversample; b) Additional questions specific to teaching for the first time (see Chapter 2.1 and 2.5); c) For internal reasons, the field period ended for the LAP oversample on 19.06.2021 and the additional questions specific to teaching were suspended.
Table 2

Size of the LAP target group by status (wave 8 to wave 17).

WAVEVARIABLETEACHER EDUCATION PROGRAMMEPREPARATORY SERVICEEMPLOYED AS TEACHERTOTAL
8a)tg600112,7572,757
9b)tg60014 & tg640122,8703413,211
10tg60022_v1, tg60015 & tg640121,6798572822,818
11tg60012_v19057762911,972
12tg60013_v18231,0426912,556
13tg60013_g1v24206861,0232,129
14tg60017_v12223048401,366
15tg60013_g1v22443181,2791,841
16tg600131351521,4441,731
17tg60017109821,1971,388
a) Information on participants in preparatory service or working as teachers not shown separately; b) Information on participants working as teachers not shown separately.
Table 3

Overview of NEPS SC5/LAP datasets (as of February 2023).

DATA FILEa)CONTENT
BasicsBasic information about participants, such as sociodemographic characteristics
BiographyIntegrated and edited life course data; serves to facilitate the analysis of complex life course data
CohortProfileMeta information for all participants and waves, such as participation status and interview date
EditionBackupsInformation on single values that have been changed or modified in the data edition process
EducationLongitudinal information on transitions in participants’ educational history
MethodsCATIParadata from the CATI interviews, e.g., interview duration, interviewer characteristics
MethodsCAWIParadata from the CAWI interviews, e.g., interview duration
MethodsCompetenciesParadata from the competence tests, e.g., test date, interviewer characteristics
pTargetCATIData from CATI questionnaires
pTargetCAWIData from CAWI questionnaires
pTargetMicromSmall-scale regional indicators of participants’ place of residence; only available via on-site access
spChildInformation on participants biological, foster, and adopted children
spChildCohabData on cohabitation spells with children
spCoursesInformation on courses/trainings taken during employment, unemployment, parental leave, and other episodes
spEmpInformation on employment episodes
spFurtherEdu1Information on further courses since the last interview that have not been reported elsewhere
spFurtherEdu2Additional information on two randomly selected course from the ‘spCourses’ and ‘spFurtherEdu1’ modules
spGapInformation on gaps in the individual life course identified by a check module (e.g., type of gap)
spInternshipInformation on internship episodes that took place after completing school and before or during higher education
spMilitaryData on episodes of military/civilian service and voluntary gap years
spParLeaveData on parental leave episodes
spPartnerData on the participants’ partnership history and basic information about the participants’ partners
spSchoolData on participants’ general school history
spSchoolExtExamInformation on school certificates acquired by recognition or external examination
spSiblingBasic information on participants’ siblings reported in wave 1
spUnempData on unemployment episodes
spVocBreaksInformation on breaks further education and training with a special focus on higher education
spVocExtExamInformation on vocational education certificates acquired outside the regular German educational system, e.g., certificates acquired abroad or as an external examinee
spVocPrepData on episodes of vocational preparation after general education
spVocTrainInformation on participants’ vocational education history covering all further (vocational and/or academic) trainings
StudyStatesInformation on participants’ higher education phase or status, derived from ‘spVocTrain’; e.g., type of degree acquired, ongoing/completed degree programme
WeightsSample weights, cluster and stratification variables
xEcoCAPIData of a subject-specific competence test in business administration, conducted on a subsample of students in economics
xInstitutionContext data for all higher education institutions (e.g., size, regional unemployment rate) and subject areas within institutions (e.g., number of female and male first-year students, number of professors); most variables only available on-site
xPlausibleValuesPlausible values of the competence data stored in ‘xTargetCompetencies’
xTargetCompetenciesData from competence tests in reading (German), mathematics, science, ICT, English, and domain-general cognitive functioning
xTargetCORONAData collected in an additional survey in May/June 2020 regarding the impact of the COVID-19 pandemic on participants’ life
NEPS-SC5-ADIABCombined NEPS SC5 data and administrative data from the Institute for Employment Research (IAB); available in restricted access environments
a) The complete names of the datasets consist of (1) an indicator for the starting cohort (e.g., SC5), (2) the unique file name indicating content and type of data (e.g., Basics), (3) an indicator for the confidentiality level (D = download; R = remote access; O = on-site access) and (4) an indicator for the release version. For example, the ‘Basics’ file of NEPS SC5, download version, SUF release 17.0.0 is labelled ‘SC5_Basics_D_17-0-0’. Unique file names with the prefix ‘x’ refer to cross-sectional data, the prefix ‘sp’ indicate spell data, and the prefix ‘p’ panel data. Datasets without a prefix are generated by the LIfBi Research Data Center.
Table 4

Overview of relevant documents and materials (as of February 2023).

DOCUMENT/MATERIALDESCRIPTION
NEPSPlorera)Tool for searching through survey instruments of all NEPS Starting Cohorts
Glossaryb)Overview of the NEPS terminology and abbreviations and specific terms in the German education and occupation system
Questionnairesb)Provided as SUF and field versions (SUF versions in German and English)
Field reportsb)Information on the data collection process
Interviewer manualsb)Information for the interviewers on the process and content of the interviews
Check module for life course datab)Description of the module that checks the life course data reported in CATI for gaps between and overlaps of episodes
Information on competence testsb)Description of the measured constructs, data, and psychometric properties
Data manualb)Overview of the panel waves and data
Codebookb)Overview of all variables measured
Semantic data structure fileb)Contains meta-data stored in the SUF; useful to explore the data
Release notesb)Information on known bugs, solutions, and changes compared to previous versions
Anonymisation manualb)c)Description of the anonymisation procedure; overview of restricted variables
Sample, weights, nonresponseb)Information on the sampling process and the construction of the weighting variables
Merging matrixb)Instruction of how to link information from different datasets
Non-traditional studentsb)Documentation of the variable tg24150 (non-traditional students)
Context datab)Description of the context data for higher education institutions (file ‘xInstitution’)
Regional datab)Documentation of the regional structural information; can be merged on-site
Immigrants in the NEPSd)Information on how immigrants were identified and categorised in the NEPS
Special Stata commandse)NEPS-specific Stata commands in the package ‘NEPStools’
a) https://www.neps-data.de/Data-Center/Overview-and-Assistance/NEPSplorer.
b) https://www.neps-data.de/Data-Center/Data-and-Documentation/Start-Cohort-Students/Documentation.
c) https://www.neps-data.de/Data-Center/Data-Access/Sensitive-Information.
d) Olczyk et al., 2016.
e) https://www.neps-data.de/Data-Center/Overview-and-Assistance/Stata-Tools.
DOI: https://doi.org/10.5334/jopd.76 | Journal eISSN: 2050-9863
Language: English
Published on: May 10, 2023
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2023 Hilde Schaeper, Andreas Ortenburger, Sebastian Franz, Stefanie Gäckle, Claudia Menge, Ilka Wolter, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.