Factorial Invariance within Longitudinal Structural Equation Models: Measuring the Same Construct across Time
By K. Widaman, Emilio Ferrer, R. Conger. Child Development Perspectives, 2010
864 citations recorded by the source corpus.
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. In this paper we discuss factorial invariance in longitudinal studies, contrasting analytic approaches and highlighting strengths of the multiple-indicator approach to modeling developmental processes.
Subfields: Computer Networks and Communications, Experimental and Cognitive Psychology, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/ab6e72c987e0c81a8b01f0344c05b9961d0aa43d
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In Computer Networks and Communications
In Experimental and Cognitive Psychology
In Management Science and Operations Research
Citations in the corpus
- Innovative behaviour: how much transformational leadership do you need? (2018, positive): “To develop a measurement model, we conducted a series of confirmatory factor analyses using the approach recommended by Widaman, Ferrer and Conger (2010).”