1. 2019
  2. 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

  3. Vertiefende Analysen zur Umstellung des Modus von Papier auf Computer

    Goldhammer, F., Harrison, S., Bürger, S., Kröhne, U., Lüdtke, O., Robitzsch, A., Köller, O., Heine, J-H. & Mang, J., 12.2019, PISA 2018: Grundbildung im internationalen Vergleich. Reiss, K., Weis, M., Klieme, E. & Köller, O. (eds.). Münster: Waxmann, p. 163-186 24 p.

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

  4. 2020
  5. Maximum likelihood estimation of a social relations structural equation model

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

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. Commentary regarding the section 'Modelling the effectiveness of teaching quality': Methodological challenges in assessing the causal effects of teaching

    Lüdtke, O. & Robitzsch, A., 04.2020, In: Zeitschrift für Pädagogik. 2020, Suppl. 66, p. 210-222 13 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. 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

  8. Book review: Modern psychometrics with R

    Robitzsch, A., 15.04.2020, In: Frontiers in Psychology. 11, 3 p., 606.

    Research output: Contribution to journalCritical reviewResearch

  9. 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

  10. A bias-corrected RMSD item fit statistic: An evaluation and comparison to alternatives

    Köhler, C., Robitzsch, A. & Hartig, J., 06.2020, In: Journal of Educational and Behavioral Statistics. 45, 3, p. 251-273 23 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  11. Analysis of interactions and nonlinear effects with missing data: A factored regression modeling approach using maximum likelihood estimation

    Lüdtke, O., Robitzsch, A. & West, S. G., 06.2020, In: Multivariate Behavioral Research. 55, 3, p. 361-381 21 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  12. An extension of the invariance alignment for scale linking

    Pokropek, A., Lüdtke, O. & Robitzsch, A., 06.2020, In: Psychological Test and Assessment Modeling. 62, 2, p. 305-334 30 p.

    Research output: Contribution to journalJournal articleResearchpeer-review