The Accuracy of Bayesian Model Fit Indices in Selecting Among Multidimensional Item Response Theory Models.

ABSTRACT: Item response theory (IRT) models are often compared with respect to predictive performance to determine the dimensionality of rating scale data. However, such model comparisons could be biased toward nested-dimensionality IRT models (e.g., the bifactor model) when comparing those models with non-nested-dimensionality IRT models (e.g., a unidimensional or a between-item-dimensionality model). The reason is that, compared with non-nested-dimensionality models, nested-dimensionality models could have a greater propensity to fit data that do not represent a specific dimensional structure. However, it is unclear as to what degree model comparison results are biased toward nested-dimensionality IRT models when the data represent specific dimensional structures and when Bayesian estimation and m

SUBMITTER: Fujimoto KA 

PROVIDER: S-EPMC11185105 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature