Growth curve modeling is a statistical method for analyzing change over time using longitudinal data. Data collected from individuals at multiple time points is used to analyze trends over time and variation in changes over time among individuals. Growth curve models focus both on similarities among individuals, captured by the mean structure, and on differences among individuals, captured by the covariance structure. The model can also be extended to explain change over time and variations in that change in terms of other factors. This entry further describes growth curve modeling, then discusses unconditional growth curve models and extensions to these models.

Growth curve modeling has also been called latent growth curve modeling, latent growth modeling, and latent curve analysis. The word growth is used because positive ...

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