Description

This webinar will focus on the role of latent variable models. Statistical methods using latent variable models are amongst the most popular approaches used for investigating response shift. However, the concept of latent variables is difficult to grasp and their application to analyses of response shift is rarely explicated in ways that are broadly accessible. Results from latent variable models are therefore easily misinterpreted. This webinar aims to bridge the gap between theoretical underpinnings of latent variable models and operationalizations of response shift. In doing so, attendees will gain a better understanding of response shift results from latent variable models, including structural equation models, item-response and Rasch measurement models, and latent variable mixture models.