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Updated: May 11, 2026

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

Coupled latent differential equation with moderators: simulation and application.

Yueqin Hu1, Steve Boker1, Michael Neale2

  • 1Department of Psychology, University of Virginia.

Psychological Methods
|May 8, 2013
PubMed
Summary
This summary is machine-generated.

Latent differential equations (LDE) reveal emotional eating is self-regulated and linked to ovarian hormones. Higher negative affect intensifies this self-regulation and hormonal coupling, demonstrating LDE model reliability.

Related Experiment Videos

Last Updated: May 11, 2026

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

Area of Science:

  • Behavioral Science
  • Endocrinology
  • Mathematical Modeling

Background:

  • Latent differential equations (LDE) offer advanced time series analysis.
  • Critical issues in LDE model implementation require practical solutions.
  • Understanding the interplay between hormonal cycles and eating behavior is complex.

Purpose of the Study:

  • To address implementation challenges in Latent differential equations (LDE) modeling.
  • To propose a step-by-step procedure for LDE application.
  • To investigate the self-regulation of emotional eating and its coupling with ovarian hormones.

Main Methods:

  • Application of Latent differential equations (LDE) to empirical time series data.
  • Modeling the interaction between ovarian hormone cycles (specifically estradiol) and emotional eating.
  • Utilizing permutation tests to validate LDE model findings.

Main Results:

  • Emotional eating exhibits self-regulation; overeating leads to subsequent reduction.
  • Sudden increases in emotional eating trigger stronger self-regulatory responses.
  • Emotional eating is coupled with estradiol cycles, peaking post-estradiol peak.
  • Negative affect moderates eating regulation frequency and estradiol coupling strength.

Conclusions:

  • Latent differential equations (LDE) models reliably detect self-regulation and coupling effects.
  • Emotional eating is a self-regulated behavior influenced by ovarian hormones.
  • Individual differences in negative affect significantly modulate eating regulation and hormonal coupling.