Dr. Michael Bergrab

Forschungsdatenzentrum, Methodenentwicklung | Methoden der Survey-Statistik

Vita

04/2020 – Heute
Wissenschaftlicher Mitarbeiter im Arbeitsbereich Methoden der Survey-Statistik am LIfBi
05/2018– 09/2021
Wissenschaftlicher Mitarbeiter mit Lehrtätigkeit am Lehrstuhl für Statistik und Ökonometrie, Otto-Friedrich Universität Bamberg
04/2015– 05/2018
Studium des Masterstudiengangs (M.Sc.) Survey-Statistik an der Otto-Friedrich-Universität Bamberg (Masterarbeit: "Using Natural Language Processing and Hidden Markov Models to investigate and track problem solving in sequential data'")
04/2014– 03/2026
Erster Bürgermeister der Gemeinde Lisberg

Forschungsinteressen

  • Unsicherheit & Modellvergleich
  • Längsschnitt- und Lebensverlaufsforschung
  • Survey Methodology & Nonresponse
  • Missing Data
  • Angewandte Bildungs-, Sozial- und Wirtschaftsforschung

Mitwirkung an Datensätzen

Bergrab, M. (seit 2020). Mitwirkung an der Entstehung des Datenangebots des Nationalen Bildungspanels (NEPS) mit Releasedaten ab 2012 gemäß der Listung unter https://www.lifbi.de/de-de/Start/Daten-Services/Daten-und-Dokumentation/SUF-Übersicht

siehe dazu

Publikationen

2026

Aßmann, C., Bergrab, M., & Gnambs, T. (2026). Participation and selectivity in web‐based cognitive testing and surveying: Evidence from a randomized mode experiment (LIfBi Working Paper No. 131). Leibniz Institute for Educational Trajectories. https://doi.org/10.5157/LIfBi:WP131:1.0
Aßmann, C., Bergrab, M., Burns, N., Csoban, T., Ghosh, S., Kelly, L., Kirkpatrick, R., Stewart, R., Schlücker, F., & Stingl, D. (2026). Scottish and German Perspectives on Access to Longitudinal Research Data in Education (KonsortSWD Working Paper No. 18). Konsortium für die Sozial-, Verhaltens-, Bildungs- und Wirtschaftswissenschaften (KonsortSWD – NFDI4Society). https://doi.org/10.5281/zenodo.21369783
Bergrab, M. (2026). Selection of models and variables: An automated Bayesian view for handling missing values. University of Bamberg. https://doi.org/10.20378/irb-113953
Bergrab, M. (2026). Bayesian model comparison for random effects probit models with missing covariates. Statistical Methods & Applications. Advance online publication. https://doi.org/10.1007/s10260-026-00878-5

2025

Bergrab, M. (2025). Samples, weights and nonresponse: NEPS Starting Cohort 4 - Grade 9: School and vocational training - Educational pathways of students in grade 9 and higher (wave 15) (NEPS Research Data Paper). Leibniz Institute for Educational Trajectories, National Educational Panel Study (NEPS). https://doi.org/10.5157/NEPS:SC4:15.0.0
Bergrab, M. (2025). Samples, weights and nonresponse: NEPS Starting Cohort 4 - Grade 9: School and vocational training - Educational pathways of students in grade 9 and higher (wave 16) (NEPS Research Data Paper). Leibniz Institute for Educational Trajectories, National Educational Panel Study (NEPS). https://doi.org/10.5157/NEPS:SC4:16.0.0

2024

Bergrab, M. (2024). Samples, weights and nonresponse: NEPS Starting Cohort 4 - Grade 9: School and vocational training - Educational pathways of students in grade 9 and higher (wave 14) (NEPS Research Data Paper). Leibniz Institute for Educational Trajectories, National Educational Panel Study (NEPS). https://doi.org/10.5157/NEPS:SC4:14.0.0
Bergrab, M., & Aßmann, C. (2024). Automated Bayesian variable selection methods for binary regression models with missing covariate data. AStA Wirtschafts- und Sozialstatistisches Archiv, 18, 203–244. https://doi.org/10.1007/s11943-024-00345-1

2021

Bergrab, M. (2021). Samples, weights and nonresponse: NEPS Starting Cohort 4 - Grade 9 (NEPS Research Data Paper). Leibniz Institute for Educational Trajectories. https://doi.org/10.5157/NEPS:SC4:12.0.0
Würbach, A., Landrock, U., Schnapp, T., Ziesmer, J., & Bergrab, M. (2021). NEPS Technical Report for weighting – the additional Corona survey of the National Educational Panel Study (NEPS Survey Paper No. 89). Leibniz Institute for Educational Trajectories, National Educational Panel Study. https://doi.org/10.5157/NEPS:SP89:1.0

2020

Bergrab, M. (2020). Samples, weights and nonresponse: NEPS Starting Cohort 4 - grade 9 School and vocational training - Educational pathways of students in grade 9 (wave 11) (NEPS Research Data Paper). Leibniz Institute for Educational Trajectories. https://www.neps-data.de/Portals/0/NEPS/Datenzentrum/Forschungsdaten/SC4/11-0-0/SC4_11-0-0_W.pdf

Ausgewählte Präsentationen und Vorträge

2026

Bergrab, M., Gnambs, T., & Aßmann, C. (10. September 2026). Participation and Selectivity in a Randomised Mixed-Mode Panel Design: Evidence from NEPS Starting Cohort 4 [Vortrag]. Statistische Woche 2026, Essen, Deutschland. https://statistische-woche.de/
Gnambs, T., Bergrab, M., & Aßmann, C. (2026, September 7 - 10). Mode effects in internet-based cognitive testing: Evidence from an educational large-scale assessment [Symposium contribution]. 54th DGPS Congress, Luxembourg, Luxembourg. https://www.uni.lu/fhse-en/conferences/54th-dgps-congress/

2025

Bergrab, M. (2025, February 25). Variable selection - An automated Bayesian view for handling missing values [Paper presentation]. British Council Springboard Meeting at the Strathclyde University, Glasgow, Scotland.
Bergrab, M. (2025, November 20). Selection of models and variables: an automated Bayesian view for handling missing values [Paper presentation]. Statistical-psychometric research seminar, Bamberg, Deutschland.
Bergrab, M. (2025, October 28). A glance in the NEPS data and some statistical methods for analyzing [Paper presentation]. British Council Springboard Meeting at the Strathclyde University, Glasgow, Scotland.
Bergrab, M., Aßmann, C., & Gnambs, T. (10. Oktober 2025). Modus-Experiment in der SC4 Welle 17 [Vortrag]. Kolloquium zur B160, Bamberg, Deutschland.

2023

Bergrab, M. (2023, July 17 - 21). Variable selection methods for binary variables and missing data [Paper presentation]. 10th European Survey Research Association (ESRA) Conference - Survey research in times of crisis: Challenges, opportunities, and new directions, Milan, Italy. https://www.europeansurveyresearch.org/conference/milan-2023/call-sessions/
Bergrab, M. (2023, May 4). A Bayesian view on variable and model selection methods for binary variables and missing data [Paper presentation]. Statistical-psychometric research seminar, Bamberg, Germany.
Bergrab, M. (2023, September 11). A Bayesian view on variable and model selection methods for binary variables and missing data [Paper presentation]. Statistische Woche 2023, Dortmund, Deutschland.