Abstract
Second-order latent growth models assess longitudinal change in a latent construct, typically employing identical manifest variables as indicators across time. However, the same indicators may be unavailable and/or inappropriate for all time points. This article details methods for second-order growth models in which constructs’ indicators shift over time.
DOI
10.22237/jmasm/1209614640
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
