What question did this study set out to answer?

To integrate repeated-measures analysis of variance and longitudinal factor analysis into a unified structural equation modeling framework for evaluating developmental change.

February 1, 1987Child Development

Latent Growth Curves within Developmental Structural Equation Models

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To integrate repeated-measures analysis of variance and longitudinal factor analysis into a unified structural equation modeling framework for evaluating developmental change.
Formulated latent growth curve models (LGMs) incorporating correlations, variances, and means to evaluate longitudinal data within structural equation modeling.
Implemented the computational modeling framework using the LISREL V computer program.
Illustrated model specification and estimation using longitudinal Wechsler Intelligence Scale for Children (WISC) data collected from young children.
Demonstrated that latent growth curve models successfully estimate parameters representing both overall group trajectories and individual dynamic variations.
Established a formal statistical procedure for hypothesis testing of alternative dynamic growth trajectories and sources of individual developmental differences.

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Implication

Methodological study demonstrates latent growth curve modeling of cognitive trajectories in young children, highlighting integrated estimation of individual and group developmental dynamics.

Cite This Study

McArdle et al. (1987) studied this question.

synapsesocial.com/papers/6a0eaef9b7cc3b883f22a084 https://doi.org/10.2307/1130295

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Implication

Methodological study demonstrates latent growth curve modeling of cognitive trajectories in young children, highlighting integrated estimation of individual and group developmental dynamics.

Latent Growth Curves within Developmental Structural Equation Models

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Discussion

Implication

Cite This Study

Latent Growth Curves within Developmental Structural Equation Models

Key Points

Discussion

Implication

Cite This Study

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