1. On the treatment of missing data in background questionnaires in educational large-scale assessments: An evaluation of different procedures

    Grund, S., Lüdtke, O. & Robitzsch, A., 08.2021, In: Journal of Educational and Behavioral Statistics. 46, 4, p. 430-465 36 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. On the treatment of missing item responses in educational large-scale assessment data: An illustrative simulation study and a case study using PISA 2018 mathematics data

    Robitzsch, A., 14.12.2021, In: European Journal of Investigation in Health, Psychology and Education. 11, 4, p. 1653-1687 35 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Performance decline in low-stakes educational assessments: Different mixture modeling approaches

    List, M. K., Robitzsch, A., Lüdtke, O., Köller, O. & Nagy, G., 2017, In: Large-scale Assessments in Education. 5, 15, 25 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Pooling ANOVA results from multiply imputed datasets: A simulation study

    Grund, S., Lüdtke, O. & Robitzsch, A., 05.10.2016, In: Methodology. 12, 3, p. 75-88 14 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. Reanalysis of the German PISA data: A comparison of different approaches for trend estimation with a particular emphasis on mode effects

    Robitzsch, A., Lüdtke, O., Goldhammer, F., Kröhne, U. & Köller, O., 26.05.2020, In: Frontiers in Psychology. 11, 17 p., 884.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. Regression models involving nonlinear effects with missing data: A sequential modeling approach using Bayesian estimation

    Lüdtke, O., Robitzsch, A. & West, S. G., 01.04.2020, In: Psychological Methods. 25, 2, p. 157-181

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. Regularized latent class analysis for polytomous item responses: An application to SPM-LS data

    Robitzsch, A., 14.08.2020, In: Journal of Intelligence. 8, 3, 24 p., 30.

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Regularized mixture Rasch model

    Robitzsch, A., 10.11.2022, In: Information. 13, 11, 534.

    Research output: Contribution to journalJournal articleResearchpeer-review

  9. Reliabilität und Stabilität des Index der sozialen Benachteiligung und Kompositionseffekt der Schulen

    Pham, G., Freunberger, R., Robitzsch, A., Itzlinger-Bruneforth, U. & Bruneforth, M., 12.2016, In: Zeitschrift für Bildungsforschung. 6, 3, p. 345-364 20 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  10. Reporting und Analysen

    Bruneforth, M., Oberwimmer, K. & Robitzsch, A., 2016, Large-Scale Assessment mit R: Methodische Grundlagen der österreichischen Bildungsstandard-Überprüfung. Breit, S. & Schreiner, C. (eds.). Wien: facultas, p. 333-362 30 p.

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

  11. Robust Haebara linking for many groups: Performance in the case of uniform DIF

    Robitzsch, A., 28.07.2020, In: Psych. 2, 3, p. 155-173 19 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  12. Self-esteem development in the school context: The roles of intrapersonal and interpersonal social predictors

    Wagner, J., Lüdtke, O., Robitzsch, A., Göllner, R. & Trautwein, U., 2018, In: Journal of Personality. 86, 3, p. 481-497 17 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  13. Some thoughts on analytical choices in the scaling model for test scores in international large-scale assessment studies

    Robitzsch, A. & Lüdtke, O., 03.09.2022, In: Measurement Instruments for the Social Sciences. 4, 9.

    Research output: Contribution to journalJournal articleResearchpeer-review

  14. Statistical properties of estimators of the RMSD item fit statistic

    Robitzsch, A., 06.06.2022, In: Foundations. 2, 2, p. 488-503

    Research output: Contribution to journalJournal articleResearchpeer-review

  15. Statistische Analysen produktiver Kompetenzen

    Freunberger, R., Robitzsch, A. & Luger-Bazinger, C., 2016, Large-Scale Assessment mit R: Methodische Grundlagen der österreichischen Bildungsstandard-Überprüfung. Breit, S. & Schreiner, C. (eds.). Wien: facultas, p. 225-258 34 p.

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

  16. The R package CDM for cognitive diagnosis models

    George, A. C., Robitzsch, A., Kiefer, T., Groß, J. & Ünli, A., 20.10.2016, In: Journal of Statistical Software. 74, 2, p. 1-24 24 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  17. The R package CDM for diagnostic modeling

    Robitzsch, A. & George, A. C., 10.2019, Handbook of diagnostic classification models: Methodology of educational measurement and assessment. von Davier, M. & Lee, Y-S. (eds.). Cham: Springer, p. 549-572 24 p. (Methodology of Educational Measurement and Assessment).

    Research output: Chapter in anthology/conference proceedingContribution to collected edition/anthologyResearchpeer-review

  18. Überblick über Modelle der Item-Response-Theorie (IRT)

    Kelava, A., Noventa, S. & Robitzsch, A., 08.2020, Testtheorie und Fragebogenkonstruktion. Moosbrugger, H. & Kelava, A. (eds.). 3. ed. Springer, p. 425-446

    Research output: Chapter in anthology/conference proceedingContribution to collected edition/anthologyResearchpeer-review

  19. Using synthetic data to improve the reproducibility of statistical results in psychological research

    Grund, S., Lüdtke, O. & Robitzsch, A., 04.08.2022, (E-pub ahead of print) In: Psychological Methods. 48 p.

    Research output: Contribution to journalJournal articleResearchpeer-review