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Latent Growth and Dynamic Structural Equation Models.

Kevin J Grimm1, Nilam Ram2

  • 1Department of Psychology, Arizona State University, Tempe, Arizona 85287, USA;

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|May 9, 2018
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Summary
This summary is machine-generated.

Latent growth models analyze within-person changes over time, revealing individual differences and determinants. This review applies these methods to study sex differences in binge drinking development from adolescence to adulthood.

Keywords:
changedevelopmentlatent variablemultilevel

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Area of Science:

  • Psychology
  • Statistics
  • Developmental Science

Background:

  • Latent growth models are statistical techniques for analyzing within-person change over time.
  • These methods are widely used to understand individual trajectories, determinants, and consequences of change.
  • Applications span various fields, including intervention and treatment response analysis.

Purpose of the Study:

  • To introduce the growth modeling approach for studying change.
  • To demonstrate the application of latent growth models to examine sex differences in binge drinking development.
  • To discuss advanced growth modeling techniques and longitudinal study design.

Main Methods:

  • Review and introduction of latent growth models.
  • Application of growth modeling to analyze longitudinal data on binge drinking behavior.
  • Discussion of inherently nonlinear growth models, derivative specification, and latent change score models.

Main Results:

  • Latent growth models effectively capture within-person change and individual differences.
  • The study applies these models to illustrate sex differences in adolescent and adult binge drinking trajectories.
  • Advanced methods for analyzing complex stochastic change processes are presented.

Conclusions:

  • Growth modeling provides a robust framework for studying developmental trajectories.
  • Understanding sex differences in binge drinking requires sophisticated longitudinal analysis.
  • Considerations for longitudinal study design and data analysis are crucial for accurate findings.