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A Unique Research Data Infrastructure for Educational Research and Beyond: The National Educational Panel Study

Author

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  • Fuß Daniel

    (LIfBi – Leibniz Institute for Educational Trajectories, Research Data Center (FDZ), Wilhelmsplatz 3, 96047 Bamberg, Germany)

  • von Maurice Jutta

    (LIfBi – Leibniz Institute for Educational Trajectories, Wilhelmsplatz 3, 96047 Bamberg, Germany)

  • Roßbach Hans-Günther

    (LIfBi – Leibniz Institute for Educational Trajectories, Wilhelmsplatz 3, 96047 Bamberg, Germany)

Abstract

The article provides an insight into the conceptual and methodological framework as well as the research data infrastructure of the German National Educational Panel Study (NEPS). The NEPS study has been set up to build a profound empirical basis for the description and analysis of educational processes and competence development across the life span. Its large-scale database consists of longitudinal information from more than 60,000 target respondents – distributed over six different starting cohorts ranging from newborns to adults – and from relevant context persons such as parents or teachers. The complex multicohort sequence design schedules annual or even semiannual survey waves including a broad spectrum of competence assessments. All data are thoroughly prepared, documented, and disseminated free of charge in the form of regularly expanded Scientific Use Files. In addition to some background information about NEPS in general, this paper primarily focuses on issues of data collection, data structure, data availability, and the requirements for different types of data access. The number of more than 1,000 data users involved in over 700 research projects so far serves to highlight the potential of NEPS as a unique research data infrastructure for educational research and beyond.

Suggested Citation

  • Fuß Daniel & von Maurice Jutta & Roßbach Hans-Günther, 2016. "A Unique Research Data Infrastructure for Educational Research and Beyond: The National Educational Panel Study," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(4), pages 517-528, August.
    • Handle: RePEc:jns:jbstat:v:236:y:2016:i:4:p:517-528
    DOI: 10.1515/jbnst-2015-1021
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    Cited by:

    1. Joachim Wagner, 2024. "Data Observer—a guide to data that can help to inform evidence-based policymaking," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 18(2), pages 279-287, June.
    2. Marina Lagemann & Peter Winker, 2022. "Inconsistent response behavior: A potential pitfall in modeling the link between educational attainment and social network characteristics," MAGKS Papers on Economics 202202, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    3. Antoni Manfred & Schnell Rainer, 2019. "The Past, Present and Future of the German Record Linkage Center (GRLC)," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(2), pages 1-13, April.

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