Dr. Tanja Kutscher

Research Data Center, Methods Development | Scaling and Test Design

Vita

04/2025
Front-End Developer Certificate
07/2019
PhD on "Measuring Job Satisfaction with Rating Scales: Problems and Remedies" at Freie Universität Berlin (Supervisor: Prof. Dr. Michael Eid)
01/2019 – Today
Research Associate in the Department of Scaling and Test Design at the Leibniz Institute for Educational Trajectories (LIfBi), Bamberg
09/2017 – 05/2018
Research Associate in the Department of Empirical Research on Continuing Education at Freie Universität Berlin, BMBF-funded project “Educational Activities and Quality of Life in the Second Half of Life” (BiLeQua)
09/2014 – 10/2014
Research Stay at Novosibirsk State Technical University, Russia
05/2011 – 03/2017
Research Associate in the Department of Methods and Evaluation at Freie Universität Berlin
07/2010
Degree in Psychology (Diploma), Freie Universität Berlin
06/2001
Degree in Philology (Diploma), Krasnoyarsk State Pedagogical University, Russia

Research interests

  • Latent variable models
  • Longitudinal research methods
  • Response process
  • Subjective well-being

    • Participation in Data Sets

    Kutscher, T. (since 2019). Contribution to the development of the data infrastructure of the National Educational Panel Study (NEPS), with released datasets available since 2019 (as listed under https://www.lifbi.de/de-de/Start/Daten-Services/Daten-und-Dokumentation/SUF-Übersicht)

    siehe dazu

    Publications

    2024

    Aßmann, C., Gnambs, T., Sengewald, M.-A., Kutscher, T., & Carstensen, C. H. (Eds.). (2024). The National Educational Panel Study (NEPS) and methodological innovations in longitudinal large-scale assessments [Special issue]. Large-scale Assessments in Education. Springer Nature. https://largescaleassessmentsineducation.springeropen.com/neps
    Kutscher, T. (2024). Measurement using self-chosen rating scales: Psychometric advantages over given rating scales. In U. Ansorge, D. Gugerell, U. Pomper, B. Szaszkó, & L. Werner (Eds.), Congress of the German and Austrian Psychological Societies 2024 (pp. 604-607). Pabst Science Publishers. https://doi.org/10.2440/0003
    Kutscher, T., & Eid, M. (2024). Psychometric benefits of self-chosen rating scales over given rating scales. Behavior Research Methods, 56, 7440–7464. https://doi.org/10.3758/s13428-024-02429-w
    Kutscher, T., Sengewald, M.-A., Gnambs, T., Carstensen, C. H., & Aßmann, C. (2024). The National Educational Panel Study (NEPS) and methodological innovations in longitudinal large-scale assessments [Editorial]. Large-scale Assessments in Education, 12, Article 31. https://doi.org/10.1186/s40536-024-00221-y
    Petersen, L. A., Kutscher, T., Beyer, T., & Bednorz, D. (2024). NEPS Technical Report for mathematics: Scaling results of Starting Cohort 1 for eight-year-old children (wave 9) (NEPS Survey Paper No. 111). Leibniz Institute for Educational Trajectories, National Educational Panel Study. https://doi.org/10.5157/NEPS:SP111:1.0

    2020

    Kutscher, T., & Eid, M. (2020). The effect of rating scale length on the occurrence of inappropriate category use for the assessment of job satisfaction: An experimental online study. Journal of Well-Being Assessment, 4(1), 1-35. https://doi.org/10.1007/s41543-020-00024-2
    Kutscher, T., & Scharl, A. (2020). NEPS Technical Report for reading: Scaling results of Starting Cohort 3 for grade 12 (NEPS Survey Paper No. 67). Leibniz Institute for Educational Trajectories, National Educational Panel Study. https://doi.org/10.5157/NEPS:SP67:1.0

    2019

    Kutscher, T. (2019). Measuring job satisfaction with rating scales: Problems and remedies. https://refubium.fu-berlin.de/handle/fub188/25149
    Kutscher, T., Eid, M., & Crayen, C. (2019). Sample size requirements for applying mixed polytomous item response models: Results of a Monte Carlo simulation study. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.02494
    Wiest, M., Kutscher, T., Willeke, J., Merkel, J., Hoffmann, M., Kaufmann-Kuchta, K., & Widany, S. (2019). The potential of statistical matching for the analysis of wider benefits of learning in later life. European Journal for Research on the Education and Learning of Adults, 10(3), 291–306. https://doi.org/10.3384/rela.2000-7426.rela201910

    Selected presentations and lectures

    2025

    Kutscher, T., & Eid, M. (2025, March 24 - 28). Personalizing psychological measurements: How self-chosen rating scales improve construct validity and reliability [Paper presentation]. 7th Joint Statistical Meeting of the Deutsche Arbeitsgemeinschaft Statistik, Berlin, Germany. https://dagstat2025.de/

    2024

    Kutscher, T., & Eid, M. (2024, September 16 - June 19). Measurement using self-chosen rating scales: Psychometric advantages over given rating scales [Paper presentation]. 53rd DGPs Congress/15th ÖGP Conference, Vienna, Austria. https://dgps2024.univie.ac.at/program/

    2019

    Eid, M., & Kutscher, T. (1. September 2019). Can response styles be avoided when individuals are allowed to choose the response scale they prefer? [Vortrag]. Paper presented at the conference of the division "Methods & Evaluation of the German Psychological Society", Kiel, Germany.