Structural equation modeling of repeated measures data: Latent curve analysis.

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Using Modification Indexes to Detect Turning Points in Longitudinal Data: A Monte Carlo Study (2010, methodology): “This approach, freely estimating the timespecific factor loadings in linear latent growth models, can sometimes result in more optimal functional forms for observed data over time (Aber & McArdle, 1991; Curran & Hussong, 2002; MacCallum, Kim, Malarkey, & Kiecolt-Glaser, 1997; McArdle, 1988).”