1. 2021
  2. 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

  3. 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

  4. A comparison of estimation methods for the Rasch model

    Robitzsch, A., 06.2021, Book of short papers: SIS 2021. Perna, C., Salvati, N. & Schirripa Spagnolo, F. (eds.). Pearson, p. 157-162

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

  5. Validating theoretical assumptions about reading with cognitive diagnosis models

    George, A. C. & Robitzsch, A., 06.2021, In: International Journal of Testing. 21, 2, p. 105-129 25 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. 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

  7. A semiparametric approach for item response function estimation to detect item misfit

    Köhler, C., Robitzsch, A., Fährmann, K., von Davier, M. & Hartig, J., 07.2021, In: British Journal of Mathematical and Statistical Psychology. 74, S1, p. 157-175 19 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Item parameter estimation in multistage designs: A comparison of different estimation approaches for the Rasch model

    Steinfeld, J. & Robitzsch, A., 08.07.2021, In: Psych. 3, 3, p. 279-307 29 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  9. 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

  10. 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

  11. 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