1. Journal article › Research › Peer-reviewed
  2. A comprehensive simulation study of estimation methods for the Rasch model

    Robitzsch, A., 01.10.2021, In: Stats. 4, 4, p. 814-836 23 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. A continuous HYBRID IRT model for modeling changes in guessing behavior in proficiency tests

    Nagy, G. & Robitzsch, A., 30.09.2021, In: Psychological Test and Assessment Modeling. 63, 3, p. 361-395 35 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Alleviating estimation problems in small sample structural equation modeling: A comparison of constrained maximum likelihood, Bayesian estimation, and fixed reliability approaches

    Ulitzsch, E., Lüdtke, O. & Robitzsch, A., 12.2021, (E-pub ahead of print) In: Psychological Methods.

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. An alternative approach for measuring gender differences in mathematical sub-competencies

    George, A. C. & Robitzsch, A., 2017, In: R&E Source: Open Online Journal for Research and Education. p. 1-7 7 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. 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

  7. Analytical approximation of the jackknife linking error in item response models utilizing a Taylor expansion of the log-likelihood function

    Robitzsch, A., 05.01.2023, In: AppliedMath. 3, 1, p. 49-59

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Analyzing longitudinal social relations model data using the social relations structural equation model

    Nestler, S., Lüdtke, O. & Robitzsch, A., 04.2022, In: Journal of Educational and Behavioral Statistics. 47, 2, p. 231-260 30 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  9. 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

  10. A note on a computationally efficient implementation of the EM algorithm in item response models

    Robitzsch, A., 11.05.2021, In: Quantitative and Computational Methods in Behavioral Sciences. 1, 1, 16 p., e3783.

    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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