Go Back Research Article March, 2018

Number of Factors in Growth Curve Modeling

Author Peter M. Bentler

Abstract

Basic growth curve models parameterize the mean and covariance structure of a set of repeated measures by latent factors that represent the polynomial influences of time. In practice it may be hard to choose the number of factors, i.e., the order of the polynomial. Simple calculations are proposed to estimate this order.

Keywords

Growth Curve Modeling Latent Factors Mean Structure Covariance Structure Repeated Measures Polynomial Influences Number of Factors Polynomial Order Model Estimation Structural Equation Modeling Statistical Modeling Parameterization Model Selection Data Analysis Measurement Structure
Details
Volume 25
Issue 6
Pages 961-964
DOI 10.1080/10705511.2018.1449112
ISSN 1532-8007
Impact Metrics