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Latent change score (LCS) modeling framework for comparing developmental theories

Research Method · All research methods
Evidence · 1 claim (1 for) · 1 study (1 associational), q3 · 1 of 1 report an effect size · 1 claim rests on one study

Description

The article uses bivariate latent change score (LCS) models, which "conceptualize differences between successive measurements as latent change factors," allowing within-subject change to be modeled via self-feedback (β) and coupling (γ) parameters. This framework let the authors translate g-factor, investment, and mutualism accounts into competing psychometric models and compare them directly on the same longitudinal data — something prior studies had not done. The coupling parameter indexes whether change in one domain is affected by the prior level of the other domain.

Accounts

  • Latent change score modeling framework for comparing developmental theories: The article uses bivariate latent change score (LCS) models, which "conceptualize differences between successive measurements as latent change factors," allowing within-subject change to be modeled via self-feedback (β) and coupling (γ) parameters. This framework let the authors translate g-factor, investment, and mutualism accounts into competing psychometric models and compare them directly on the same longitudinal data — something prior studies had not done. The coupling parameter indexes whether change in one domain is affected by the prior level of the other domain. (Kievit et al. (2017))

Claims

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Key Sources

  • Kievit, R. A., Lindenberger, U., Goodyer, I. M., Jones, P. B., Fonagy, P., Bullmore, E. T., the Neuroscience in Psychiatry Network, & Dolan, R. J. (2017). Mutualistic Coupling Between Vocabulary and Reasoning Supports Cognitive Development During Late Adolescence and Early Adulthood. Psychological Science. https://doi.org/10.1177/0956797617710785
Page metadata
Field Value
type research-method
id latent-change-score-lcs-modeling-framework-for-comparing-developmental-theories
title Latent change score (LCS) modeling framework for comparing developmental theories
description The article uses bivariate latent change score (LCS) models, which "conceptualize differences between successive measurements as latent change factors," allowing within-subject change to be modeled via self-feedback (β) and coupling (γ) parameters.
status review
generated by process:settle-candidates on 2026-10-17
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