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• W2041580163 abstract "Abstract— Charting change in behavior as a function of age and investigating longitudinal relations among constructs are primary goals of developmental research. Traditionally, researchers rely on a single measure (e.g., scale score) for a given construct for each person at each occasion of measurement, assuming that measure reflects the same construct at each occasion. With multiple indicators of a latent construct at each time of measurement, the researcher can evaluate whether factorial invariance holds. If factorial invariance constraints are satisfied, latent variable scores at each time of measurement are on the same metric and stronger conclusions are warranted. This article discusses factorial invariance in longitudinal studies, contrasting analytic approaches and highlighting strengths of the multiple-indicator approach to modeling developmental processes." @default.
• W2041580163 created "2016-06-24" @default.
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• W2041580163 date "2010-04-01" @default.
• W2041580163 modified "2023-10-18" @default.
• W2041580163 title "Factorial Invariance Within Longitudinal Structural Equation Models: Measuring the Same Construct Across Time" @default.
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• W2041580163 doi "https://doi.org/10.1111/j.1750-8606.2009.00110.x" @default.
• W2041580163 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/2848495" @default.
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