Latent Growth Curve Modeling

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Planned missing designs to optimize the efficiency of latent growth parameter estimates (2014, background): “Latent growth curve models (LGMs; e.g., McArdle & Epstein, 1987; McArdle & Nesselroade, 2003; Preacher et al., 2008) are some of the most popular models for longitudinal data, because they allow researchers to simultaneously model group trends in change over time as well as individual variability in”
Twelve Frequently Asked Questions About Growth Curve Modeling (2010, background): “…oriented papers that walk the reader through different aspects of the application and interpretation of growth models; examples include Curran (2000), Curran and Hussong (2002, 2003), Duncan and Duncan (2004), Preacher et al. (2008), Singer (1998), and Willett, Singer, and Martin (1998).”
Introduction to mediation analysis with structural equation modeling (2013, methodology): “Moreover, unlike standard regression approaches, SEM allows for ease of extension to longitudinal data within a single framework, corresponding with a study’s conceptual framework for clear hypothesis articulation.([12]) Finally, Bollen and Pearl([10]) note that even when the same equation is used i”
Homemade citizens: The development of political interest during adolescence and young adulthood (2013, background): “These random coefficients are incorporated in a structural equation framework by considering them as latent variables (c.f. Bollen and Curran, 2006; Preacher et al., 2008).”