Daniel McNeish

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 rela...

In this project, the research team applied a covariance pattern model approach to growth mixture models so that they can be applied more reliably within contexts in which they are already applied and to lower the data requirements needed to apply the method so that researchers with more modest samples (e.g., hard-to-reach populations) can use the method. The project team developed an alternative way to fit growth mixture models that is less demanding computationally, carried out simulations ...