Testing the degree of cross-sectional and longitudinal dependence between two discrete dynamic processes.

ABSTRACT: Developmental research often involves studying change across 2 or more processes or constructs simultaneously. A natural question in this work is whether change in these 2 processes is related or independent. Associative latent transition analysis (ALTA) was designed to test hypotheses about the degree to which change in 2 discrete latent variables is related. The ALTA model is a type of latent class model, which is a categorical latent variable model based on categorical indicators. In the ALTA approach, level and change on 1 variable is predicted by level and change in another. Two types of hypotheses are discussed: (a) broad hypotheses of dependence between the 2 discrete latent variables and (b) targeted hypotheses comparing specific patterns of change between levels of the discrete va

SUBMITTER: Flaherty BP 

PROVIDER: S-EPMC3880677 | biostudies-literature | 2008 Mar

REPOSITORIES: biostudies-literature