Developmental cognitive neuroscience using latent change score models: A tutorial and applications

Volume: 33, Pages: 99 - 117
Published: Oct 1, 2018
Abstract
Assessing and analysing individual differences in change over time is of central scientific importance to developmental neuroscience. However, the literature is based largely on cross-sectional comparisons, which reflect a variety of influences and cannot directly represent change. We advocate using latent change score (LCS) models in longitudinal samples as a statistical framework to tease apart the complex processes underlying lifespan...
Paper Details
Title
Developmental cognitive neuroscience using latent change score models: A tutorial and applications
Published Date
Oct 1, 2018
Volume
33
Pages
99 - 117
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