Evaluating Latent Growth Curve Models Using Individual Fit Statistics

By D. Coffman, R. Millsap. 2006

53 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/6b3f8cd8bbe026fdff63c510286827131c9bf868

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In Statistics and Probability

1. Y. Cho
2. Shelley A. Blozis

Citations in the corpus

• Coding and Centering of Time in Latent Curve Models in the Presence of Interindividual Time Heterogeneity (2008, background): “Although traditional steps to model evaluation concern overall fit, such as using measures that characterize the extent to which the hypothesized mean and covariance structures fit the sample mean and covariance structures, several methods have been proposed for evaluating latent curve models at the”
• Twelve Frequently Asked Questions About Growth Curve Modeling (2010, unknown): “It is as essential to establish the adequate fit of the hypothesized model within the growth modeling framework as it is in any other statistical model (but see Coffman & Millsap, 2006 , for an alternative perspective).”