Evaluating Restrictive Models in Educational and Behavioral Research: Local Misfit Overrides Model Tenability

The frequent practice of overall fit evaluation for latent variable models in educational and behavioral research is reconsidered. It is argued that since overall plausibility does not imply local plausibility and is only necessary for the latter, local misfit should be considered a sufficient condition for model rejection, even in the case of omnibus model tenability. The argument is exemplified with a comparison of the widely used one-parameter and two-parameter logistic models. A theoretically and practically relevant setting illustrates how discounting local fit and concentrating instead on overall model fit may lead to incorrect model selection, even if a popular information criterion is also employed. The article concludes with the recommendation for routine examination of particular parameter constraints within latent variable models as part of their fit evaluation.

Automated summary

The article reconsiders the frequent practice of overall fit evaluation for latent variable models in educational and behavioral research, emphasizing the importance of considering local misfit in model rejection. It highlights the potential for incorrect model selection when local fit is discounted in favor of overall model fit. The recommendation is made for routine examination of particular parameter constraints within latent variable models.