Version 7.0.1
doi:10.5157/NEPS:SC3:7.0.1
Here you find information on the former versions
7.0.0,
6.0.1,
6.0.0,
5.0.0,
4.0.0,
3.1.0,
3.0.0,
2.0.0 and
1.0.0.
Date of Release
Summary
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The lower secondary level plays a connecting role between elementary school and the general or vocational upper secondary level (or directly entering the job market). Nevertheless, important questions could not be clearly and conclusively answered yet because of the lack of appropriate data. This pertains, for example, to the type of school chosen, to switches to another type of school, or to the grade repetition but also to the central issue of paths through lower secondary level and the transition into upper secondary level.
In this study of the National Educational Panel Study (NEPS), representatively selected students who attend regular or special needs schools and are willing to participate are questioned and tested in annual waves of studies. For students of the starting cohort of fifth graders, the first survey was carried out in fall/winter 2010, the second survey in winter 2011/12. It is generally intended to sample students in regular and in special needs schools and to follow them up within those originally selected institutions until they leave school or the general school system altogether. After leaving school, these students will be further questioned and tested individually outside the educational institution. The testing and questioning of individuals requiring special education is a challenge because only rudimentary experiences with such measures have been made so far. In addition to the questioning and testing of students, the questioning of context persons such as parents, teachers, and school headmasters is planned. Competence tests cover several domains: language (spelling, reading, and listening comprehension in German, knowledge of first language and English in students with migration background), mathematics, sciences, and metacompetencies (ICT competence and cognitive problem-solving ability).
The central questions of this study include the development of students’ competencies, conditions, and prerequisites of education processes, as well as possible personal consequences for the success and for the future course of education and the integration of students into social networks. The teaching staff and headmaster questionnaires in the participating schools address, for example, data on class size, the composition of the student body, and the school equipment but also questions about lessons in general.
Principal Investigator
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Sandra Buchholz, Leibniz Institute for Educational Trajectories, Bamberg (Germany)
Citation
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If you publish with NEPS data, it is mandatory to quote the following reference:
Blossfeld, H.-P., Roßbach, H.-G., & von Maurice, J. (Eds.). (2011). Education as a lifelong process: The German National Educational Panel Study (NEPS) [Special Issue]. Zeitschrift für Erziehungswissenschaft, 14. (Full text)
In addition, publications using data from this release must include the following acknowledgement:
This paper uses data from the National Educational Panel Study (NEPS): Starting Cohort 3 – 5th Grade, doi:10.5157/NEPS:SC3:7.0.1. From 2008 to 2013, NEPS data were collected as part of the Framework Programme for the Promotion of Empirical Educational Research funded by the German Federal Ministry of Education and Research (BMBF). As of 2014, the NEPS survey is carried out by the Leibniz Institute for Educational Trajectories (LIfBi) at the University of Bamberg in cooperation with a nationwide network.
Für alle Publikationen mit NEPS-Daten ist es verpflichtend, folgende Referenz zu zitieren:
Blossfeld, H.-P., H.-G. Roßbach und J. von Maurice (Hrsg.) (2011). Education as a Lifelong Process – The German National Educational Panel Study (NEPS). Zeitschrift für Erziehungswissenschaft: Sonderheft 14. (Volltext)
Zusätzlich müssen alle Publikationen den folgenden Hinweis auf den jeweiligen Scientific-Use-File, aus dem die verwendeten NEPS-Daten stammen, enthalten:
Diese Arbeit nutzt Daten des Nationalen Bildungspanels (NEPS) Startkohorte 3 (Klasse 5), doi:10.5157/NEPS:SC3:7.0.1. Die Daten des NEPS wurden von 2008 bis 2013 als Teil des Rahmenprogramms zur Förderung der empirischen Bildungsforschung erhoben, welches vom Bundesministerium für Bildung und Forschung (BMBF) finanziert wurde. Seit 2014 wird NEPS vom Leibniz-Institut für Bildungsverläufe e.V. (LIfBi) an der Otto-Friedrich-Universität Bamberg in Kooperation mit einem deutschlandweiten Netzwerk weitergeführt.
Availability
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Data and documents are released for academic research. This release is uniquely identified by one DOI. All data sets of this release are available in different languages (English, German), formats (Stata, SPSS), and degrees of anynomization (download, remote access, and on-site).
Documentation
Below you will find detailed additional information regarding the surveys, instruments and data from the Starting Cohort 3, Grade 5. This documentation refers to the version 7.0.1. In case of questions, simply contact the Research Data Center.
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| Data Manual (more) |
PDF-en |
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The data manual is intended to assist your work with the Scientific Use Files. The provided document refers to the data version 1.0.0. An updated version will be made available to you in the near future.
- Variable: Generated school type (PDF-en)
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| Release Notes (more) |
TXT-en |
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The release notes entail any main changes in comparison to prior versions. Herein, known bugs and possible solutions regarding the most current data version are noted.
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| Study Overview (more) |
PDF-de PDF-en |
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The study documentation provides information at a glance regarding the course of the survey. For each survey, target and context persons are defined as well as case numbers and field time frames.
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| Survey Instruments (more) |
ZIP |
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The survey instruments are made available to you in the form of SUF and field versions. The field versions consist of the originally deployed PAPI questionnaires as well as the programming templates for CATI and CAPI interviews. The SUF versions entail additional information, such as the variable names and labels found in the Scientific Use Files as well as the corresponding scheme options. We recommend the SUF version, when working with the data. The ZIP archive contains all of the documents listed below.
In our Downloadcenter you can also view other survey instruments that don't yet have a published Scientific Use File. In order to access the instruments, logging in to the webstie is required. If you are not registered as a NEPS data user and therefore don't have the necessary login credentials, simply contact the Research Data Center.
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| Information on Competence Tests (more) |
ZIP |
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General overviews and information:
- Competence measures in Starting Cohorts 1 to 6 and variable naming conventions (PDF-en)
- Scaling model and notes on using data from competence tests (PDF-en)
- Linking the data of competence tests across different measurement occasions (PDF-en)
Wave-specific descriptions:
Usually for each domain there is a brief description of the construct with sample items, a description of the data, and of the psychometric properties of the test. In the table you will find each of the documents that can be downloaded. (The ZIP archive contains all of the documents listed below. Therein documents in regard to the competence domains as well as overview documents can be found.)
| Domains |
Constructs, test processes and sample items |
Data, psychometric properties and scaling |
| Domain-overlapping competences |
| General cognitive basic skills (DG) |
PDF-en |
| Domain-specific competences |
| Lingustic competence German: Reading (RE) |
PDF-en |
W1: PDF-en, W3: PDF-en, W6: PDF-en |
| Lingustic competence German: Reading speed (RS) |
PDF-en |
| Lingustic competence German: Listening Comprehension at Text Level (LI) |
PDF-en |
| Mathematical competences (MA) |
PDF-en |
W1: PDF-en, W3: PDF-en,
W5: PDF-en |
| Scientific competences (SC) |
PDF-en |
W2: PDF-en |
| Meta-compentences |
| Declarative meta-cognition (MD) |
W2: PDF-en, W6: PDF-en |
| Procedural meta-cognition (MP) |
PDF-en |
| ICT Literacy (IC) |
PDF-en |
W2: PDF-en, W5: PDF-en |
| Stage-specific competences |
| Orthography (OR) |
PDF-en |
PDF-en, PDF-en, PDF-en |
| Linguistic competence English: Reading (EF) |
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W7: PDF-en |
| Scientific thinking (ST) |
PDF-en |
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| Semantic Data Structure File (more) |
ZIP |
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The semantic data structure file does not contain data. It does, however, contain the metadata found in the Scientific Use Files (e.g., variable names,variable labels and scheme options). It is useful for exploring the data structure without needing any actual data. The ZIP-File contains German and English versions for Stata and SPSS.
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| Codebook (more) |
PDF-de PDF-en |
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Sorted by data sets, the codebook entails frequency counts of all the variables including the corresponding labels. The on-site version of the SUF serves as the basis for the codebook.
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| Glossary (mehr) |
PDF-en |
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The NEPS Glossary provides information about special terminology related to the German educational and occupational system as well as the NEPS-specific terms and abbreviations that are frequently used throughout the NEPS study.
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| Samples, Weights, Nonresponse (more) |
ZIP |
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This report of weighting and sample stratification includes information regarding the construct principles and sampling process. It also provides insight towards a correct use of the values found in the Scientific Use Files, waves 1-5 PDF-en, wave 6 PDF-en, wave 7 PDF-en
NEPS also provides replication weights in order to calculate the estimation of the variance by using the balanced repeated replication method: PDF-en
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| Generated Variables on Education (more) |
PDF-en |
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The report gives a comprehensive overview of the underlying derivation processes for the derived educational variables. These are ISCED-97, CASMIN and Years of Education.
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| Regional data (more) |
ZIP |
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Regional structural information can be merged to our data on-site. Regional data is available from Microm and infas. These documentations describe all regional levels, structural characteristics, and how to use the data.
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| Merging Matrix (more) |
XLX |
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The Merging Matrix provides an overview of how to link information from different datasets noting the respective relevant identificator variables.
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| Anonymization Procedures (more) |
PDF-en |
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This document describes the used anonymization procedures of the respective data. Here you are also given an overview regarding the opportunity to access sensitive data (Download, Remote, On-Site).
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| Tools to Reflect Filtering in PAPI Data Sets (more) |
ZIP |
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Filters in PAPI questionnaires do not work perfectly. The scripts for Stata and SPSS cleanse the data sets by following a linear logic, interpreting the first statement as correct. This documentation refers to version 1.0.0 and will be updated to version 2.0.0 as soon as possible.
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| Field Reports (more) |
ZIP |
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The field reports document the overall data-collection process executed by the survey institute, including the preparation and execution of the survey, the interviewer selection and deployment, tracking and providing incentives to the target persons, the intial contact and the realization of the interviews and tests, etc. The field reports are suppied by the respective survey institutes and are only available in German.
- Wave 1:
CATI main survey: PDF-de
PAPI main survey in regular schools: PDF-de
PAPI main survey in in special needs schools: PDF-de
PAPI supplemental sample: PDF-de
- Wave 2:
CATI main survey: PDF-de
PAPI main survey in regular schools: PDF-de
PAPI main survey in special needs schools: PDF-de
- Wave 3:
CATI main survey: PDF-de
PAPI main survey in regular schools: PDF-de
PAPI main survey in special needs schools: PDF-de
- Wave 4:
CATI main survey: PDF-de
PAPI main survey in regular schools: PDF-de
PAPI main survey in special needs schools: PDF-de
- Wave 5:
PAPI main survey: PDF-de
- Wave 6:
PAPI main survey in regular schools: PDF-de
CATI main survey: PDF-de
- Wave 7:
PAPI main survey in regular schools: PDF-de
CATI/CAWI individual follow-up survey: PDF-de
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| Interviewer Manuals (more) |
ZIP |
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The interview manuals is the basis for the interviewers' training before the computed-supported interviews were conducted. In particular, it describes the interview process as well as the content of each of the questionnaire modules.
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