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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
Pacewicz, Christine E.; Myers, Nicholas D. – Measurement in Physical Education and Exercise Science, 2021
Longitudinal measurement enables the examination of behavioral or psychological change. One approach to examining longitudinal measurements is the use of latent growth curve modeling (LGCM). This approach affords the assessment of inter- and intraindividual change. Yet, this approach likely is underused in exercise science. The purpose of the…
Descriptors: Exercise Physiology, Longitudinal Studies, Statistical Analysis, Change