Paper Title

Number of Factors in Growth Curve Modeling

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

Article Type

Research Article

Journal

Structural Equation Modeling: A Multidisciplinary Journal External link

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DOI

DOI Icon 10.1080/10705511.2018.1449112

Publication Info

Volume: 25 | Issue: 6 | Pages: 961-964

Published On

March, 2018

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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.

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