1. Journal article › Research › Peer-reviewed
  2. Multiple imputation of missing data for multilevel models: Simulations and recommendations

    Grund, S., Lüdtke, O. & Robitzsch, A., 01.01.2018, In: Organizational Research Methods. 21, 1, p. 111-149

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Multiple imputation of missing data in multilevel designs: A comparison of different strategies

    Lüdtke, O., Robitzsch, A. & Grund, S., 2017, In: Psychological Methods. 22, 1, p. 141-165 25 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Multiple imputation of missing data in multilevel models with the R package mdmb: A flexible sequential modeling approach

    Grund, S., Lüdtke, O. & Robitzsch, A., 12.2021, In: Behavior Research Methods. 53, 6, p. 2631-2649 19 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. Multiple imputation of multilevel missing data: An introduction to the R package pan

    Grund, S., Lüdtke, O. & Robitzsch, A., 2016, In: SAGE Open. 6, 4, p. 1-17 17 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. On the bias in confirmatory factor analysis when treating discrete variables as ordinal instead of continuous

    Robitzsch, A., 01.04.2022, In: Axioms. 11, 4, 162.

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. On the choice of the item response model for scaling PISA data: Model selection based on information criteria and quantifying model uncertainty

    Robitzsch, A., 27.05.2022, In: Entropy. 24, 6, 760.

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. On the performance of Bayesian approaches in small samples: A comment on Smid, McNeish, Miocevic, and van de Schoot (2020)

    Zitzmann, S., Lüdtke, O., Robitzsch, A. & Hecht, M., 02.01.2021, In: Structural Equation Modeling: A Multidisciplinary Journal. 28, 1, p. 40-50 11 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. On the treatment of missing item responses in educational large-scale assessment data: An illustrative simulation study and a case study using PISA 2018 mathematics data

    Robitzsch, A., 14.12.2021, In: European Journal of Investigation in Health, Psychology and Education. 11, 4, p. 1653-1687 35 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  11. Performance decline in low-stakes educational assessments: Different mixture modeling approaches

    List, M. K., Robitzsch, A., Lüdtke, O., Köller, O. & Nagy, G., 2017, In: Large-scale Assessments in Education. 5, 15, 25 p.

    Research output: Contribution to journalJournal articleResearchpeer-review