Comparing multidimensional to unidimensional CAT under two empirical scenarios : The impact of design factors
Published: Sep 1, 2018
Abstract
Research has shown the benefits of taking into account the correlation among dimensions when estimating latent trait scores in computerized adaptive tests (CATs). Multidimensional CATs (MCATs) could further improve measurement precision/decrease test length as compared to using separate unidimensional CATs for each domain, especially if domains are highly correlated. In this study, we systematically evaluate the impact of a number of important...
Paper Details
Title
Comparing multidimensional to unidimensional CAT under two empirical scenarios : The impact of design factors
Published Date
Sep 1, 2018
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