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Direct linkKim, Doyoung; De Ayala, R. J.; Ferdous, Abdullah A.; Nering, Michael L. – Applied Psychological Measurement, 2011
To realize the benefits of item response theory (IRT), one must have model-data fit. One facet of a model-data fit investigation involves assessing the tenability of the conditional item independence (CII) assumption. In this Monte Carlo study, the comparative performance of 10 indices for identifying conditional item dependence is assessed. The…
Descriptors: Item Response Theory, Monte Carlo Methods, Error of Measurement, Statistical Analysis
Peer reviewedSugawara, Hazuki M.; MacCallum, Robert C. – Applied Psychological Measurement, 1993
Alternative models for a large dataset were analyzed by asymptotically distribution-free, generalized least squares, maximum likelihood, and ordinary least squares estimation methods, comparing incremental and nonincremental fit indexes. Incremental methods were quite unstable across estimation methods. This phenomenon is explained. (SLD)
Descriptors: Estimation (Mathematics), Goodness of Fit, Least Squares Statistics, Maximum Likelihood Statistics
