Classical Item Analysis Using Latent Variable Modeling: A Note on a Direct Evaluation Procedure
Tenko Raykov, George A. Marcoulides · Structural Equation Modeling A Multidisciplinary Journal · 2011
A directly applicable latent variable modeling procedure for classical item analysis is outlined. The method allows one to point and interval estimate item difficulty, item correlations, and item-total correlations for composites consisting of categorical items. The approach is readily employed in empirical research and as a by-product permits examining the latent structure of tentative versions of multiple-component measuring instruments. The discussed procedure is straightforwardly utilized with the increasingly popular latent variable modeling software Mplus, and is illustrated on a numerical example.