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Book review: Modern psychometrics with R
Robitzsch, A., 15.04.2020, In: Frontiers in Psychology. 11, 3 p., 606.
Research output: Contribution to journal › Critical review › Research
Journal article › Research › Peer-reviewed
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 journal › Journal article › Research › peer-review
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 journal › Journal article › Research › peer-review
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 journal › Journal article › Research › peer-review
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 journal › Journal article › Research › peer-review
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 journal › Journal article › Research › peer-review
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 journal › Journal article › Research › peer-review
A comparison of different approaches for estimating cross-lagged effects from a causal inference perspective
Lüdtke, O. & Robitzsch, A., 10.06.2022, (E-pub ahead of print) In: Structural Equation Modeling: A Multidisciplinary Journal.
Research output: Contribution to journal › Journal article › Research › peer-review
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 journal › Journal article › Research › peer-review
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 journal › Journal article › Research › peer-review
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 journal › Journal article › Research › peer-review
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 journal › Journal article › Research › peer-review
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 journal › Journal article › Research › peer-review
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 journal › Journal article › Research › peer-review
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 journal › Journal article › Research › peer-review
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 journal › Journal article › Research › peer-review
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 journal › Journal article › Research › peer-review
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 journal › Journal article › Research › peer-review
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 journal › Journal article › Research › peer-review
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 journal › Journal article › Research › peer-review

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