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Schamberger, Tamara; Schuberth, Florian; Henseler, Jörg – International Journal of Behavioral Development, 2023
Research in human development often relies on composites, that is, composed variables such as indices. Their composite nature renders these variables inaccessible to conventional factor-centric psychometric validation techniques such as confirmatory factor analysis (CFA). In the context of human development research, there is currently no…
Descriptors: Individual Development, Factor Analysis, Statistical Analysis, Structural Equation Models
Peer reviewedDuncan, Terry E.; And Others – Applied Psychological Measurement, 1994
An example application of latent growth methodology used to analyze developmental change in adolescent alcohol consumption is presented. Findings are discussed with reference to the utility of latent growth curve models for assessing developmental processes of both the inter- and intra-individual level across a variety of behavioral domains. (SLD)
Descriptors: Adolescents, Behavior Patterns, Change, Drinking
Coffman, Donna L.; Millsap, Roger E. – Structural Equation Modeling: A Multidisciplinary Journal, 2006
The usefulness of assessing individual fit in latent growth curve models was examined. The study used simulated data based on an unconditional and a conditional latent growth curve model with a linear component and a small quadratic component and a linear model was fit to the data. Then the overall fit of linear and quadratic models to these data…
Descriptors: Structural Equation Models, Evaluation Methods, Goodness of Fit, Individual Development

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