1. Leistungsveränderungen in TIMSS zwischen 2015 und 2019: Die Rolle des Testmediums und des methodischen Vorgehens bei der Trendschätzung

    Robitzsch, A., Lüdtke, O., Schwippert, K., Goldhammer, F., Kröhne, U. & Köller, O., 12.2020, TIMSS 2019: Mathematische und naturwissenschaftliche Kompetenzen von Grundschulkindern in Deutschland im internationalen Vergleich. Schwippert, K., Kasper, D., Köller, O., McElvany, N., Selter, C., Steffensky, M. & Wendt, H. (eds.). Münster: Waxmann, p. 169-186

    Research output: Chapter in anthology/conference proceedingContribution to collected edition/anthologyResearch

  2. Linking errors in international large-scale assessments: Calculation of standard errors for trend estimation

    Robitzsch, A. & Lüdtke, O., 08.2019, In: Assessment in Education: Principles, Policy & Practice. 26, 4, p. 444-465 22 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Longitudinal data on the effectiveness of mathematics mini-games in primary education

    Bakker, M., van den Heuvel-Panhuizen, M. & Robitzsch, A., 09.2015, In: British Journal of Educational Technology. 46, 5, p. 999-1004 6 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Lp loss functions in invariance alignment and Haberman linking with few or many groups

    Robitzsch, A., 05.08.2020, In: Stats. 3, 3, p. 246-283

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. Mathematische Kompetenzen in der Grundschule: Struktur, Validierung und Zusammenspiel mit allgemeinen kognitiven Fähigkeiten

    Winkelmann, H., Robitzsch, A., Stanat, P. & Köller, O., 2012, In: Diagnostica. 58, 1, p. 15-30 16 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. Maximum likelihood estimation of a social relations structural equation model

    Nestler, S., Lüdtke, O. & Robitzsch, A., 2020, In: Psychometrika. 85, 4, p. 870-889 20 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. Mean comparisons of many groups in the presence of DIF: An evaluation of linking and concurrent scaling approaches

    Robitzsch, A. & Lüdtke, O., 02.2022, In: Journal of Educational and Behavioral Statistics. 47, 1, p. 36-68

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Missing data in multilevel research

    Grund, S., Lüdtke, O. & Robitzsch, A., 2019, The handbook of multilevel theory, measurement, and analysis. Humphrey, S. E. & LeBreton, J. M. (eds.). Washington, DC: American Psychological Association, p. 365-386 22 p.

    Research output: Chapter in anthology/conference proceedingContribution to collected edition/anthologyResearch

  9. mitml: Tools for multiple imputation in multilevel modeling

    Grund, S., Robitzsch, A. & Lüdtke, O., 19.10.2015

    Research output: Other contributionSoftwareResearch

  10. Modeling item position effects with a Bayesian item response model applied to PISA 2009–2015 data

    Trendtel, M. & Robitzsch, A., 2018, In: Psychological Test and Assessment Modeling. 60, 2, p. 241-263 23 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  11. More stable estimation of the STARTS model: A Bayesian approach using Markov Chain Monte Carlo techniques

    Lüdtke, O., Robitzsch, A. & Wagner, J., 2018, In: Psychological Methods. 23, 3, p. 570-593 24 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  12. Multiple imputation of missing covariate values in multilevel models with random slopes: A cautionary note

    Grund, S., Lüdtke, O. & Robitzsch, A., 2016, In: Behavior Research Methods. 48, 2, p. 640-649 10 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  13. Multiple imputation of missing data at level 2: A comparison of fully conditional and joint modeling in multilevel designs

    Grund, S., Lüdtke, O. & Robitzsch, A., 2018, In: Journal of Educational and Behavioral Statistics. 43, 3, p. 316-353 38 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  14. Multiple imputation of missing data for multilevel models: Simulations and recommendations

    Grund, S., Lüdtke, O. & Robitzsch, A., 01.01.2018, In: Organizational Research Methods. 21, 1, p. 111-149

    Research output: Contribution to journalJournal articleResearchpeer-review

  15. Multiple imputation of missing data in multilevel designs: A comparison of different strategies

    Lüdtke, O., Robitzsch, A. & Grund, S., 2017, In: Psychological Methods. 22, 1, p. 141-165 25 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  16. Multiple imputation of missing data in multilevel models with the R package mdmb: A flexible sequential modeling approach

    Grund, S., Lüdtke, O. & Robitzsch, A., 12.2021, In: Behavior Research Methods. 53, 6, p. 2631-2649 19 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  17. Multiple imputation of multilevel missing data: An introduction to the R package pan

    Grund, S., Lüdtke, O. & Robitzsch, A., 2016, In: SAGE Open. 6, 4, p. 1-17 17 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  18. On the bias in confirmatory factor analysis when treating discrete variables as ordinal instead of continuous

    Robitzsch, A., 01.04.2022, In: Axioms. 11, 4, 162.

    Research output: Contribution to journalJournal articleResearchpeer-review

  19. On the choice of the item response model for scaling PISA data: Model selection based on information criteria and quantifying model uncertainty

    Robitzsch, A., 27.05.2022, In: Entropy. 24, 6, 760.

    Research output: Contribution to journalJournal articleResearchpeer-review

  20. On the performance of Bayesian approaches in small samples: A comment on Smid, McNeish, Miocevic, and van de Schoot (2020)

    Zitzmann, S., Lüdtke, O., Robitzsch, A. & Hecht, M., 02.01.2021, In: Structural Equation Modeling: A Multidisciplinary Journal. 28, 1, p. 40-50 11 p.

    Research output: Contribution to journalJournal articleResearchpeer-review