Extending Dynamic Fit Index Cutoffs for Latent Variable Models

The goal of this proposed project is to provide empirical researchers with more generalizable, accessible, and accurate guidelines for assessing model fit in latent variable models. Traditional cutoffs have multiple known shortcomings, including the tendency to favor models with low construct reliability over those with high construct reliability. To address some of the drawbacks of traditional fit indices, the research team will expand the scope, testing, and software availability of a relatively new approach called the dynamic fit index (DFI). The DFI is a simulation-based technique that adapts to the context of a latent model to determine fit cutoffs which are specific to the model being tested.