1. A Bayesian approach for estimating multilevel latent contextual models

    Zitzmann, S., Lüdtke, O., Robitzsch, A. & Marsh, H. W., 2016, In: Structural Equation Modeling: A Multidisciplinary Journal. 23, 5, p. 661-679 19 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. 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

  3. A Bayesian approach to more stable estimates of group-level effects in contextual studies

    Zitzmann, S., Lüdtke, O. & Robitzsch, A., 30.12.2015, In: Multivariate Behavioral Research. 50, 6, p. 688-705 18 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. 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

  5. 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

  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 comparison of different approaches for estimating cross-lagged effects from a causal inference perspective

    Lüdtke, O. & Robitzsch, A., 02.11.2022, In: Structural Equation Modeling: A Multidisciplinary Journal. 29, 6, p. 888-907

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. A well-rounded view: Using an interpersonal approach to predict academic achievement by academic self-concept and peer ratings of competence

    Loesch, T., Lüdtke, O., Robitzsch, A., Kelava, A., Nagengast, B. & Trautwein, U., 2017, In: Contemporary Educational Psychology. 51, October 2017, p. 198-208 11 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  24. 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

  25. 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

  26. Change in fluid and crystallized intelligence and student achievement: The role of intellectual engagement

    Hülür, G., Gasimova, F., Robitzsch, A. & Wilhelm, O., 2018, In: Child Development. 89, 4, p. 1074-1087 14 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  27. Cognitive diagnosis models for baseline testing of educational standards in math

    Groß, J., Robitzsch, A. & George, A. C., 2016, In: Journal of Applied Statistics. 43, 1, p. 229-243 15 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  28. Cognitive diagnosis models in R: A didactic

    George, A. C. & Robitzsch, A., 2015, In: The Quantitative Methods for Psychology. 11, 3, p. 189-205 17 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  29. Cognitive diagnostic modeling using R

    Ravand, H. & Robitzsch, A., 2015, In: Practical Assessment, Research & Evaluation. 20, 11, p. 1-12 12 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  30. Cognitive diagnostic model of best choice: A study of reading comprehension

    Ravand, H. & Robitzsch, A., 2018, In: Educational Psychology. 38, 10, p. 1255-1277 23 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  31. 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

  32. 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

  33. 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

  34. 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

  35. Does personality become more stable with age? Disentangling state and trait effects for the Big Five across the life span using local structural equation modeling

    Wagner, J., Lüdtke, O. & Robitzsch, A., 04.2019, In: Journal of Personality and Social Psychology. 116, 4, p. 666-680 15 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  36. 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

  37. Effects of mathematics computer games on special education students’ multiplicative reasoning ability

    Bakker, M., van den Heuvel-Panhuizen, M. & Robitzsch, A., 2016, In: British Journal of Educational Technology. 47, 4, p. 633-648 16 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  38. Effects of playing mathematics computer games on primary school students' multiplicative reasoning ability

    Bakker, M., van den Heuvel-Panhuizen, M. & Robitzsch, A., 2015, In: Contemporary Educational Psychology. 40, p. 55-71 17 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  39. Effects of reading picture books on kindergartners’ mathematics performance

    van den Heuvel-Panhuizen, M., Elia, I. & Robitzsch, A., 07.02.2016, In: Educational Psychology. 36, 2, p. 323-346 24 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  40. Eine Diskussionsgrundlage zur Weiterentwicklung von Rückmeldungen aus standardisierten Kompetenzmessungen am Beispiel Mathematik

    George, A. C., Robitzsch, A. & Schreiner, C., 06.2019, Fünf Jahre flächendeckende Bildungsstandardüberprüfungen in Österreich: Vertiefende Analysen zum Zyklus 2012 bis 2016. George, A. C., Schreiner, C., Wiesner, C., Pointinger, M. & Pacher, K. (eds.). Münster: Waxmann, p. 225-238 14 p. (Kompetenzmessungen im österreichischen Schulsystem: Analysen, Methoden & Perspektiven; vol. 1).

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

  41. Eine Einführung in die Plausible-Value-Technik für die psychologische Forschung

    Lüdtke, O. & Robitzsch, A., 2017, In: Diagnostica. 63, 3, p. 193-205 13 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  42. Ein empirischer Vergleich von Konzepten der Lesekompetenz in PIRLS

    George, A. C., Robitzsch, A., Krelle, M. & Breit, S., 07.2019, Lesekompetenz der 10-Jährigen im Trend: Vertiefende Analysen zu PIRLS. Wallner-Paschon, C. & Itzlinger-Bruneforth, U. (eds.). Graz: Leykam, p. 53-68 16 p.

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

  43. 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

  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. 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

  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. Exploring factor model parameters across continuous variables with local structural equation models

    Hildebrandt, A., Lüdtke, O., Robitzsch, A., Sommer, C. & Wilhelm, O., 2016, In: Multivariate Behavioral Research. 51, 2-3, p. 257-258 2 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  48. 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

  49. 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

  50. 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

  51. Focusing on interactions between content and cognition: A new perspective on gender differences in mathematical sub-competencies

    George, A. C. & Robitzsch, A., 2018, In: Applied Measurement in Education. 31, 1, p. 79-97 19 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  52. Four-parameter guessing model and related item response models

    Robitzsch, A., 17.11.2022, In: Mathematical and Computational Applications. 27, 6, 95.

    Research output: Contribution to journalJournal articleResearchpeer-review

  53. Herausforderungen bei der Schätzung von Trends in Schulleistungsstudien: Eine Skalierung der deutschen PISA-Daten

    Robitzsch, A., Lüdtke, O., Köller, O., Kröhne, U., Goldhammer, F. & Heine, J-H., 2017, In: Diagnostica. 63, 2, p. 148-165 18 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  54. Highbrow Cultural Activities, Social Background and Openness in Lower-Secondary Level Students

    Kröner, S., Vock, M., Robitzsch, A. & Köller, O., 2012, In: Journal for Educational Research Online. 4, 2, p. 3-28 26 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  55. Integrating covariates into social relations models: A plausible values approach for handling measurement error in perceiver and target effects

    Lüdtke, O., Robitzsch, A. & Trautwein, U., 2018, In: Multivariate Behavioral Research. 53, 1, p. 102-124 23 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  56. 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

  57. Item response models for human ratings: Overview, estimation methods, and implementation in R

    Robitzsch, A. & Steinfeld, J., 2018, In: Psychological Test and Assessment Modeling. 60, 1, p. 101-139 38 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  58. Kindergartners' performance in two types of imaginary perspective-taking

    van den Heuvel-Panhuizen, M., Elia, I. & Robitzsch, A., 06.2015, In: ZDM: The International Journal on Mathematics Education. 47, 3, p. 345-362 18 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  59. Kommentar zum Beitrag “Lokale Abhängigkeiten von Items im TestDaF-Leseverstehen” von Thomas Eckes

    Robitzsch, A. & Lüdtke, O., 2015, In: Diagnostica. 61, 2, p. 107-109 3 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  60. 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

  61. 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

  62. 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

  63. 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

  64. 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

  65. 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

  66. 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

  67. 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

  68. mitml: Tools for multiple imputation in multilevel modeling

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

    Research output: Other contributionSoftwareResearch

  69. 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

  70. 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

  71. 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

  72. 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

  73. 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

  74. 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

  75. 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

  76. 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

  77. 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

  78. 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

  79. 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

  80. 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

  81. 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

  82. 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

  83. 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

  84. 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

  85. 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

  86. 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

  87. Regularized mixture Rasch model

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

    Research output: Contribution to journalJournal articleResearchpeer-review

  88. 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

  89. 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

  90. 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

  91. 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

  92. 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

  93. 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

  94. 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

  95. 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

  96. 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

  97. 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

  98. 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

  99. 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

  100. 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

  101. 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

  102. 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