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Special Issue: The National Educational Panel Study (NEPS) and Methodological Innovations in Longitudinal Large-Scale Assessments

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LSAE is launching a special issue bringing together contributions from different disciplines that can help improve methodological practices in longitudinal large-scale assessments in education. Papers should discuss neglected problems and innovative solutions for the analysis of psychological constructs across heterogeneous contexts and life stages as evaluated in longitudinal studies. This includes empirical applications of novel methodological approaches, statistical simulations, or software reviews on methods in LSAE. Contributions do not have to be specific to the NEPS data, but should be applicable to the area of longitudinal studies in education.  The issue will include selected paper contributions to the 6th International NEPS Conference that will be hosted in June 2021 by LIfBi–Leibniz Institute for Educational Trajectories in Bamberg (Germany). To submit your paper for the NEPS conference, please visit the conference site here 
 

This special issue is no longer accepting submissions after 31 January 2024.


 Eligible contributions would cover topics such as:

  • Differential item and test functioning in heterogeneous contexts across different life stages
  • Reducing measurement error in longitudinal models
  • Impact of mode effects in longitudinal LSAEs
  • Improving longitudinal measurements using process data from computerized assessments
  • Modeling of inattentive response behavior in LSAEs
  • Identification of unit- and item-nonresponse in longitudinal studies


Special issue editors:

Christian Aßmann (Lead guest editor)
Leibniz Institute for Educational Trajectories          

Timo Gnambs (Lead guest editor)
Leibniz Institute for Educational Trajectories          

Marie-Ann Sengewald (Guest editor)
Leibniz Institute for Educational Trajectories          

Tanja Kutscher (Guest editor)
Leibniz Institute for Educational Trajectories          

Claus H. Carstensen (Guest editor)
University of Bamberg           



  1. One major aim of international large-scale assessments (ILSA) like PISA is to monitor changes in student performance over time. To accomplish this task, a set of common items (i.e., link items) is repeatedly a...

    Authors: Alexander Robitzsch and Oliver Lüdtke
    Citation: Large-scale Assessments in Education 2023 11:26
  2. The purpose of this paper is to extend and evaluate methods of Bayesian historical borrowing applied to longitudinal data with a focus on parameter recovery and predictive performance. Bayesian historical borrowi...

    Authors: David Kaplan, Jianshen Chen, Weicong Lyu and Sinan Yavuz
    Citation: Large-scale Assessments in Education 2023 11:2
  3. Educational large-scale assessments (LSAs) often provide plausible values for the administered competence tests to facilitate the estimation of population effects. This requires the specification of a backgrou...

    Authors: Anna Scharl and Eva Zink
    Citation: Large-scale Assessments in Education 2022 10:28
  4. Reading and math proficiency are assumed to be crucial for the development of other academic skills. Further, different studies found reading and math development to be related. We contribute to the literature...

    Authors: Christoph Jindra, Karoline A. Sachse and Martin Hecht
    Citation: Large-scale Assessments in Education 2022 10:22
  5. This study examines the effect of school socioeconomic composition on student achievement growth in Australian schooling, and its relationship with academic composition utilising the National Assessment Progra...

    Authors: Michael G. Sciffer, Laura B. Perry and Andrew McConney
    Citation: Large-scale Assessments in Education 2022 10:21
  6. This paper examines the overarching question of to what extent different analytic choices may influence the inference about country-specific cross-sectional and trend estimates in international large-scale ass...

    Authors: Jörg-Henrik Heine and Alexander Robitzsch
    Citation: Large-scale Assessments in Education 2022 10:10
  7. One major challenge of longitudinal data analysis is to find an appropriate statistical model that corresponds to the theory of change and the research questions at hand. In the present article, we argue that con...

    Authors: Julian F. Lohmann, Steffen Zitzmann, Manuel C. Voelkle and Martin Hecht
    Citation: Large-scale Assessments in Education 2022 10:5

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Large-scale Assessments in Education is fully sponsored by IERI – International Educational Research Institute, and the International Association for the Evaluation of Educational Achievement (IEA) that focuses on improving the science of large-scale assessments. Authors do not need to pay an article-processing charge.