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Longitudinal CFA

Longitudinal confirmatory factor analysis (longitudinal CFA) applies a theoretically specified measurement model to data collected at two or more time points. Its primary purpose is to verify that a scale measures the same latent construct in the same way over time — a prerequisite for drawing valid conclusions about change from repeated-measures data.

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Longitudinal Confirmatory Factor Analysis

Taxonomisk metodpost · latent-structure / psychometrics

Widaman, K. F. & Reise, S. P. (1997). Exploring the measurement invariance of psychological instruments: Applications in the substance use domain. In K. J. Bryant, M. Windle & S. G. West (Eds.), The science of prevention: Methodological advances from alcohol and substance abuse research (pp. 281–324). American Psychological Association. · URL
Millsap, R. E. (2011). Statistical Approaches to Measurement Invariance. Routledge. · ISBN 9780805864786

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Taxonomic bucketConfirmatory factor analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketLongitudinal EFAmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketLongitudinal Measurement Invariancemachine-suggested · Relational suggestion, not evidence.Same method familyMeasurement Invariancemachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMultilevel CFAmachine-suggested · Relational suggestion, not evidence.See alsoStructural Equation Modelingmachine-suggested · Relational suggestion, not evidence.