1. 2020
  2. Disentangling different sources of stability and change in students’ academic self-concepts: An integrative data analysis using the STARTS model

    Jansen, M., Lüdtke, O. & Robitzsch, A., 11.2020, In: Journal of Educational Psychology. 112, 8, p. 1614-1631 18 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Why ordinal variables can (almost) always be treated as continuous variables: Clarifying assumptions of robust continuous and ordinal factor analysis estimation methods

    Robitzsch, A., 10.2020, In: Frontiers in Education. 5, 7 p., 589965.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. A review of different scaling approaches under full invariance, partial invariance, and noninvariance for cross-sectional country comparisons in large-scale assessments

    Robitzsch, A. & Lüdtke, O., 06.2020, In: Psychological Test and Assessment Modeling. 62, 2, p. 233-279 47 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

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