1. 2019
  2. The R package CDM for diagnostic modeling

    Robitzsch, A. & George, A. C., 10.2019, Handbook of diagnostic classification models: Methodology of educational measurement and assessment. von Davier, M. & Lee, Y-S. (eds.). Cham: Springer, p. 549-572 24 p. (Methodology of Educational Measurement and Assessment).

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

  3. Vertiefende Analysen zur Umstellung des Modus von Papier auf Computer

    Goldhammer, F., Harrison, S., Bürger, S., Kröhne, U., Lüdtke, O., Robitzsch, A., Köller, O., Heine, J-H. & Mang, J., 12.2019, PISA 2018: Grundbildung im internationalen Vergleich. Reiss, K., Weis, M., Klieme, E. & Köller, O. (eds.). Münster: Waxmann, p. 163-186 24 p.

    Research output: Chapter in anthology/conference proceedingContribution to collected edition/anthologyResearch

  4. 2020
  5. Maximum likelihood estimation of a social relations structural equation model

    Nestler, S., Lüdtke, O. & Robitzsch, A., 2020, In: Psychometrika. 85, 4, p. 870-889 20 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. Commentary regarding the section 'Modelling the effectiveness of teaching quality': Methodological challenges in assessing the causal effects of teaching

    Lüdtke, O. & Robitzsch, A., 04.2020, In: Zeitschrift für Pädagogik. 2020, Suppl. 66, p. 210-222 13 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. Regression models involving nonlinear effects with missing data: A sequential modeling approach using Bayesian estimation

    Lüdtke, O., Robitzsch, A. & West, S. G., 01.04.2020, In: Psychological Methods. 25, 2, p. 157-181

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. 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

  9. Reanalysis of the German PISA data: A comparison of different approaches for trend estimation with a particular emphasis on mode effects

    Robitzsch, A., Lüdtke, O., Goldhammer, F., Kröhne, U. & Köller, O., 26.05.2020, In: Frontiers in Psychology. 11, 17 p., 884.

    Research output: Contribution to journalJournal articleResearchpeer-review

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. Leistungsveränderungen in TIMSS zwischen 2015 und 2019: Die Rolle des Testmediums und des methodischen Vorgehens bei der Trendschätzung

    Robitzsch, A., Lüdtke, O., Schwippert, K., Goldhammer, F., Kröhne, U. & Köller, O., 12.2020, TIMSS 2019: Mathematische und naturwissenschaftliche Kompetenzen von Grundschulkindern in Deutschland im internationalen Vergleich. Schwippert, K., Kasper, D., Köller, O., McElvany, N., Selter, C., Steffensky, M. & Wendt, H. (eds.). Münster: Waxmann, p. 169-186

    Research output: Chapter in anthology/conference proceedingContribution to collected edition/anthologyResearch

  21. 2021
  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. Causal inference with multilevel data: A comparison of different propensity score weighting approaches

    Fuentes, A., Lüdtke, O. & Robitzsch, A., 15.06.2021, (E-pub ahead of print) In: Multivariate Behavioral Research.

    Research output: Contribution to journalJournal articleResearchpeer-review

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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

  38. Cognitively diagnostic analysis using the G-DINA model in R

    Shi, Q., Ma, W., Robitzsch, A., Sorrel, M. A. & Man, K., 08.12.2021, In: Psych. 3, 4, p. 812-835 24 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  39. 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

  40. 2022
  41. Mean comparisons of many groups in the presence of DIF: An evaluation of linking and concurrent scaling approaches

    Robitzsch, A. & Lüdtke, O., 02.2022, In: Journal of Educational and Behavioral Statistics. 47, 1, p. 36-68

    Research output: Contribution to journalJournal articleResearchpeer-review

  42. 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

  43. Editorial of the Psych special issue “Computational aspects, statistical algorithms and software in psychometrics”

    Robitzsch, A., 02.03.2022, In: Psych. 4, 1, p. 114-118 5 p.

    Research output: Contribution to journalOther (editorial matter etc.)Research

  44. Estimation methods of the multiple-group one-dimensional factor model: Implied identification constraints in the violation of measurement invariance

    Robitzsch, A., 09.03.2022, In: Axioms. 11, 3, 119.

    Research output: Contribution to journalJournal articleResearchpeer-review

  45. 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

  46. Examining moderators of vocabulary acquisition from kindergarten through elementary school using local structural equation modeling

    Olaru, G., Robitzsch, A., Hildebrandt, A. & Schroeders, U., 01.04.2022, In: Learning and Individual Differences. 95, 102136.

    Research output: Contribution to journalJournal articleResearchpeer-review

  47. 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

  48. 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

  49. Statistical properties of estimators of the RMSD item fit statistic

    Robitzsch, A., 06.06.2022, In: Foundations. 2, 2, p. 488-503

    Research output: Contribution to journalJournal articleResearchpeer-review

  50. Exploring the multiverse of analytical decisions in scaling educational large-scale assessment data: A specification curve analysis for PISA 2018 mathematics data

    Robitzsch, A., 07.07.2022, In: European Journal of Investigation in Health, Psychology and Education. 12, 7, p. 731-753 23 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  51. Using synthetic data to improve the reproducibility of statistical results in psychological research

    Grund, S., Lüdtke, O. & Robitzsch, A., 04.08.2022, (E-pub ahead of print) In: Psychological Methods. 48 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  52. Evaluating the effects of analytical decisions in large-scale assessments: Analyzing PISA mathematics 2003-2012

    Heine, J-H. & Robitzsch, A., 27.08.2022, In: Large-scale Assessments in Education. 10, 29 p., 10.

    Research output: Contribution to journalJournal articleResearchpeer-review