Precision, Reliability, and Effect Size of Slope Variance in Latent Growth Curve Models: Implications for Statistical Power Analysis

Precision, Reliability, and Effect Size of Slope Variance in Latent Growth Curve Models: Implications for Statistical Power Analysis

Latent Growth Curve Models (LGCM) have become a standard technique to model change over time. Prediction and explanation of inter-individual differences in change are major goals in lifespan research. The major determinants of statistical power to detect individual differences in change are the magn...

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Bibliographic Details
Main Authors: Andreas M. Brandmaier, Timo von Oertzen, Paolo Ghisletta, Ulman Lindenberger, Christopher Hertzog
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-04-01
Series:Frontiers in Psychology
Subjects:
linear latent growth curve model
statistical power
effect size
effective error
structural equation modeling
reliability
Online Access:http://journal.frontiersin.org/article/10.3389/fpsyg.2018.00294/full

Internet

http://journal.frontiersin.org/article/10.3389/fpsyg.2018.00294/full

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