Research article summary (published 30 Jan 1987):

Latent growth curves within developmental structural equation models.

Full Abstract

This report uses structural equation modeling to combine traditional ideas from repeated-measures ANOVA with some traditional ideas from longitudinal factor analysis. A longitudinal model that includes correlations, variances, and means is described as a latent growth curve model (LGM). When merged with repeated-measures data, this technique permits the estimation of parameters representing both individual and group dynamics. The statistical basis of this model allows hypothesis testing of various developmental ideas, including models of alternative dynamic functions and models of the sources of individual differences in these functions. Aspects of these latent growth models are illustrated with a set of longitudinal WISC data from young children and by using the LISREL V computer program.

Author information

Author/s: McArdle, J J (JJ); Epstein, D (D);

Grants: R01-AG04704 (Agency:NIA NIH HHS)

Journal and publication information

Publication Type: Journal Article; Research Support, U.S. Gov't, P.H.S.

Journal: Child development (Child Dev), published in UNITED STATES. (Language: eng)

Reference: 1987-Feb; vol 58 (issue 1) : pp 110-33

Dates: Created 1987/04/10; Completed 1987/04/10; Revised 2007/11/15;

PMID: 3816341, status: MEDLINE (last retrieval date: 2/18/2009, IMS Date: 18 Feb 2009 00:00:00)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Child Child Development Educational Status Female Humans Intelligence Longitudinal Studies

Longitudinal Studies Models, Psychological Mothers Psychometrics Software Statistics as Topic Wechsler Scales

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