Robustness of the performance of the optimized hierarchical two-parameter logistic IRT model for small-sample item calibration

Hierarchical Bayesian modeling is beneficial when complex models with many parameters of the same type, such as item response theory (IRT) models, are to be estimated with sparse data. Recently, Koenig et al. ( Applied Psychological Measurement, 44 , 311–326,  2020 ) illustrated in an optimized hier...

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Veröffentlicht in:	Behavior Research Methods 2023-12, Vol.55 (8), p.3965-3983
Hauptverfasser:	König, Christoph, Spoden, Christian, Frey, Andreas
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayes Theorem Bayesian analysis Behavioral Science and Psychology Calibration Cognitive Psychology Computer Simulation Humans Mathematical models Models, Statistical Psychological assessment Psychology Psychometrics - methods
Online-Zugang:	Volltext
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