Second-order latent growth models.
By A. Sayer, Patricio Cumsille. 2001
148 citations recorded by the source corpus.
Subfields: Education
View Paper: https://www.semanticscholar.org/paper/f8747c5aa7c26b259c1a72db056832c092b6dfc1
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In Education
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Citations in the corpus
- A Comparison of Latent Growth Models for Constructs Measured by Multiple Items (2007, background): “When this assumption is not met, bias in the parameter estimates may arise because univariate LGM of multiple-item composites does not distinguish between changes in the scale measuring the construct and true longitudinal changes in the construct (Sayer & Cumsille, 2001).”
- The role of vocabulary depth in predicting reading comprehension among English monolingual and Spanish–English bilingual children in elementary school (2012, background): “It has been suggested (e.g., Sayer & Cumsille, 2001) that factorial invariance where error variances are constrained to be equal is unlikely to hold due to the fact that heterogeneous variance across time is often observed when modeling change and because the random error component of uniqueness…”
- THE DEVELOPMENT OF SELF-DETERMINATION ACROSS THE LANGUAGE COURSE (2019, background): “…paths within each construct (i.e., from earlier mean levels of a variable to later mean levels in the same variable), and withintime covariances among the latent residual components across constructs (e.g., covariance between intrinsic motivation and engagement at wave 1; Sayer & Cumsille, 2001).”
- Evaluating the Power of Latent Growth Curve Models to Detect Individual Differences in Change (2008, methodology): “Multiple-indicator LGCM (McArdle, 1988; Sayer & Cumsille, 2001) should in principle minimize effects of measurement error on statistical power to detect slope variances.”
- Mediation Analysis in a Latent Growth Curve Modeling Framework (2011, methodology): “Furthermore, based on these dieting factors at each time point, latent growth curves were constructed to model change in dieting over time (so-called second-order growth model; see Sayer & Cumsille, 2001).”