Ontology highlight
ABSTRACT:
SUBMITTER: Brandt H
PROVIDER: S-EPMC4663265 | biostudies-other | 2015
REPOSITORIES: biostudies-other
Frontiers in psychology 20151130
The application of mixture models to flexibly estimate linear and nonlinear effects in the SEM framework has received increasing attention (e.g., Jedidi et al., 1997b; Bauer, 2005; Muthén and Asparouhov, 2009; Wall et al., 2012; Kelava and Brandt, 2014; Muthén and Asparouhov, 2014). The advantage of mixture models is that unobserved subgroups with class-specific relationships can be extracted (direct application), or that the mixtures can be used as a statistical tool to approximate nonnormal (l ...[more]