Testing measurement invariance in longitudinal data with ordered-categorical measures.

ABSTRACT: A goal of developmental research is to examine individual changes in constructs over time. The accuracy of the models answering such research questions hinges on the assumption of longitudinal measurement invariance: The repeatedly measured variables need to represent the same construct in the same metric over time. Measurement invariance can be studied through factor models examining the relations between the observed indicators and the latent constructs. In longitudinal research, ordered-categorical indicators such as self- or observer-report Likert scales are commonly used, and these measures often do not approximate continuous normal distributions. The present didactic article extends previous work on measurement invariance to the longitudinal case for ordered-categorical indicators. W

SUBMITTER: Liu Y 

PROVIDER: S-EPMC5121102 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature