1. Journal article › Research › Peer-reviewed
  2. Linking errors in international large-scale assessments: Calculation of standard errors for trend estimation

    Robitzsch, A. & Lüdtke, O., 08.2019, In: Assessment in Education: Principles, Policy & Practice. 26, 4, p. 444-465 22 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Longitudinal data on the effectiveness of mathematics mini-games in primary education

    Bakker, M., van den Heuvel-Panhuizen, M. & Robitzsch, A., 09.2015, In: British Journal of Educational Technology. 46, 5, p. 999-1004 6 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. 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

  5. Mathematische Kompetenzen in der Grundschule: Struktur, Validierung und Zusammenspiel mit allgemeinen kognitiven Fähigkeiten

    Winkelmann, H., Robitzsch, A., Stanat, P. & Köller, O., 2012, In: Diagnostica. 58, 1, p. 15-30 16 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. 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

  7. 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

  8. Modeling item position effects with a Bayesian item response model applied to PISA 2009–2015 data

    Trendtel, M. & Robitzsch, A., 2018, In: Psychological Test and Assessment Modeling. 60, 2, p. 241-263 23 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  9. More stable estimation of the STARTS model: A Bayesian approach using Markov Chain Monte Carlo techniques

    Lüdtke, O., Robitzsch, A. & Wagner, J., 2018, In: Psychological Methods. 23, 3, p. 570-593 24 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  10. Multiple imputation of missing covariate values in multilevel models with random slopes: A cautionary note

    Grund, S., Lüdtke, O. & Robitzsch, A., 2016, In: Behavior Research Methods. 48, 2, p. 640-649 10 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  11. Multiple imputation of missing data at level 2: A comparison of fully conditional and joint modeling in multilevel designs

    Grund, S., Lüdtke, O. & Robitzsch, A., 2018, In: Journal of Educational and Behavioral Statistics. 43, 3, p. 316-353 38 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. Pooling ANOVA results from multiply imputed datasets: A simulation study

    Grund, S., Lüdtke, O. & Robitzsch, A., 05.10.2016, In: Methodology. 12, 3, p. 75-88 14 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  23. 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

  24. 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

  25. 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

  26. Regularized mixture Rasch model

    Robitzsch, A., 10.11.2022, In: Information. 13, 11, 534.

    Research output: Contribution to journalJournal articleResearchpeer-review

  27. Reliabilität und Stabilität des Index der sozialen Benachteiligung und Kompositionseffekt der Schulen

    Pham, G., Freunberger, R., Robitzsch, A., Itzlinger-Bruneforth, U. & Bruneforth, M., 12.2016, In: Zeitschrift für Bildungsforschung. 6, 3, p. 345-364 20 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  28. 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

  29. Self-esteem development in the school context: The roles of intrapersonal and interpersonal social predictors

    Wagner, J., Lüdtke, O., Robitzsch, A., Göllner, R. & Trautwein, U., 2018, In: Journal of Personality. 86, 3, p. 481-497 17 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  30. Some thoughts on analytical choices in the scaling model for test scores in international large-scale assessment studies

    Robitzsch, A. & Lüdtke, O., 03.09.2022, In: Measurement Instruments for the Social Sciences. 4, 9.

    Research output: Contribution to journalJournal articleResearchpeer-review

  31. 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

  32. The R package CDM for cognitive diagnosis models

    George, A. C., Robitzsch, A., Kiefer, T., Groß, J. & Ünli, A., 20.10.2016, In: Journal of Statistical Software. 74, 2, p. 1-24 24 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  33. 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

  34. 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

  35. 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

  36. Other (editorial matter etc.) › Research
  37. 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

  38. Software › Research
  39. mitml: Tools for multiple imputation in multilevel modeling

    Grund, S., Robitzsch, A. & Lüdtke, O., 19.10.2015

    Research output: Other contributionSoftwareResearch

  40. Working paper › Research
  41. Ein Kommentar zu Vohns: "Bildungsstandards M8 - Wie kommen die offiziellen Zahlen zustande und was sagen sie (nicht) aus?

    Robitzsch, A., Freunberger, R., Itzlinger-Bruneforth, U., Breit, S. & Schreiner, C., 2015.

    Research output: Working paper / ReportWorking paper

  42. Contribution to collected edition/anthology › Research › Not peer-reviewed
  43. Aspekte der Validierung

    Fellinger, R., Kiefer, T., Robitzsch, A. & Trendtel, M., 2016, Large-Scale Assessment mit R: Methodische Grundlagen der österreichischen Bildungsstandard-Überprüfung. Breit, S. & Schreiner, C. (eds.). Wien: facultas, p. 363-398 36 p.

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

  44. Die Bedeutung des Antwortformats bei Lesetestaufgaben für unterschiedliche Schülersubgruppen unter besonderer Berücksichtigung von Fähigkeitsunterschieden

    Schwabe, F., Trendtel, M., Robitzsch, A. & McElvany, N., 2015, 10 Jahre international vergleichende Schulleistungsforschung in der Grundschule : Vertiefende Analysen zu IGLU und TIMSS 2001 bis 2011. Wendt, H., Stubbe, T. C., Schwippert, K. & Bos, W. (eds.). Münster: Waxmann, p. 97–116

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

  45. Fairer Vergleich in der Rückmeldung

    Pham, G., Robitzsch, A., George, A. C. & Freunberger, R., 2016, Large-Scale Assessment mit R: Methodische Grundlagen der österreichischen Bildungsstandard-Überprüfung. Breit, S. & Schreiner, C. (eds.). Wien: facultas, p. 295-332 38 p.

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

  46. Fehlende Daten und Plausible Values

    Robitzsch, A., Pham, G. & Yanagida, T., 2016, Large-Scale Assessment mit R: Methodische Grundlagen der österreichischen Bildungsstandard-Überprüfung . Breit, S. & Schreiner, C. (eds.). Wien: facultas, p. 259-294 36 p.

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

  47. 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

  48. Missing data in multilevel research

    Grund, S., Lüdtke, O. & Robitzsch, A., 2019, The handbook of multilevel theory, measurement, and analysis. Humphrey, S. E. & LeBreton, J. M. (eds.). Washington, DC: American Psychological Association, p. 365-386 22 p.

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

  49. Reporting und Analysen

    Bruneforth, M., Oberwimmer, K. & Robitzsch, A., 2016, Large-Scale Assessment mit R: Methodische Grundlagen der österreichischen Bildungsstandard-Überprüfung. Breit, S. & Schreiner, C. (eds.). Wien: facultas, p. 333-362 30 p.

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

  50. Statistische Analysen produktiver Kompetenzen

    Freunberger, R., Robitzsch, A. & Luger-Bazinger, C., 2016, Large-Scale Assessment mit R: Methodische Grundlagen der österreichischen Bildungsstandard-Überprüfung. Breit, S. & Schreiner, C. (eds.). Wien: facultas, p. 225-258 34 p.

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

  51. 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

  52. Zu nichtignorierbaren Konsequenzen des (partiellen) Ignorierens fehlender Item Responses im Large-Scale Assessment

    Robitzsch, A., 2016, PIRLS & TIMSS 2011 - die Kompetenzen in Lesen, Mathematik und Naturwissenschaft am Ende der Volksschule: Österreichischer Expertenbericht. Suchań, B., Wallner-Paschon, C., Schreiner, C., Bundesinstitut Bildungsforschung, Innovation & Entwicklung des österreichischen Schulwesens & Bundesministerium für Bildung und Frauen (eds.). Graz: Leykam, p. 55-64 10 p.

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

  53. Contribution to collected edition/anthology › Research › Peer-reviewed
  54. 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

  55. An intensive longitudinal study on the development of student achievement over two years (LUISE)

    Hülür, G., Gasimova, F., Robitzsch, A. & Wilhelm, O., 2017, Competence assessment in education: Research, models and instruments. Leutner, D., Fleischer, J., Grünkorn, J. & Klieme, E. (eds.). Cham: Springer, 22 p. (Methodology of Educational Measurement and Assessment).

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