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The Recovery of Correlation Between Latent Abilities Using Compensatory and Noncompensatory Multidimensional IRT Models
Authors:Yanyan Fu  Tyler Strachan  Edward H. Ip  John T. Willse  Shyh-Huei Chen  Terry Ackerman
Affiliation:1. Graduate Management Admission Council;2. frankyanyan@gmail.com;4. The University of North Carolina at Greensboro;5. Wake Forest School of Medicine;6. University of Iowa
Abstract:This research examined correlation estimates between latent abilities when using the two-dimensional and three-dimensional compensatory and noncompensatory item response theory models. Simulation study results showed that the recovery of the latent correlation was best when the test contained 100% of simple structure items for all models and conditions. When a test measured weakly discriminated dimensions, it became harder to recover the latent correlation. Results also showed that increasing the sample size, test length, or using simpler models (i.e., two-parameter logistic rather than three-parameter logistic, compensatory rather than noncompensatory) could improve the recovery of latent correlation.
Keywords:compensatory and noncompensatory models  latent correlation bias  item response theory  multidimensional item response theory  simple structure
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