1. Critical review › Research
  2. 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

  3. Journal article › Research › Peer-reviewed
  4. A Bayesian approach for estimating multilevel latent contextual models

    Zitzmann, S., Lüdtke, O., Robitzsch, A. & Marsh, H. W., 2016, In: Structural Equation Modeling: A Multidisciplinary Journal. 23, 5, p. 661-679 19 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. A Bayesian approach to estimating reciprocal effects with the bivariate STARTS model

    Lüdtke, O., Robitzsch, A. & Ulitzsch, E., 03.2022, (E-pub ahead of print) In: Multivariate Behavioral Research.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. A Bayesian approach to more stable estimates of group-level effects in contextual studies

    Zitzmann, S., Lüdtke, O. & Robitzsch, A., 30.12.2015, In: Multivariate Behavioral Research. 50, 6, p. 688-705 18 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. A Bayesian item response model for examining item position effects in complex survey data

    Trendtel, M. & Robitzsch, A., 02.2021, In: Journal of Educational and Behavioral Statistics. 46, 1, p. 34-57

    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. About the equivalence of the latent D-scoring model and the two-parameter logistic item response model

    Robitzsch, A., 22.06.2021, In: Mathematics. 9, 13, 17 p., 1465.

    Research output: Contribution to journalJournal articleResearchpeer-review

  10. A comparison of different approaches for estimating cross-lagged effects from a causal inference perspective

    Lüdtke, O. & Robitzsch, A., 10.06.2022, (E-pub ahead of print) In: Structural Equation Modeling: A Multidisciplinary Journal.

    Research output: Contribution to journalJournal articleResearchpeer-review

  11. A comparison of linking methods for two groups for the two-parameter logistic item response model in the presence and absence of random differential item functioning

    Robitzsch, A., 15.09.2021, In: Foundations. 1, 1, p. 116-144

    Research output: Contribution to journalJournal articleResearchpeer-review

  12. A comparison of penalized maximum likelihood estimation and Markov Chain Monte Carlo techniques for estimating confirmatory factor analysis models with small sample sizes

    Lüdtke, O., Ulitzsch, E. & Robitzsch, A., 29.04.2021, In: Frontiers in Psychology. 12, 25 p., 615162.

    Research output: Contribution to journalJournal articleResearchpeer-review

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