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Growth rate models: emphasizing growth rate analysis through growth curve modeling

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  • Zhiyong Zhang
  • John J. McArdle
  • John R. Nesselroade

Abstract

To emphasize growth rate analysis, we develop a general method to reparametrize growth curve models to analyze rates of growth for a variety of growth trajectories, such as quadratic and exponential growth. The resulting growth rate models are shown to be related to rotations of growth curves. Estimated conveniently through growth curve modeling techniques, growth rate models have advantages above and beyond traditional growth curve models. The proposed growth rate models are used to analyze longitudinal data from the National Longitudinal Study of Youth (NLSY) on children's mathematics performance scores including covariates of gender and behavioral problems (BPI). Individual differences are found in rates of growth from ages 6 to 11. Associations with BPI, gender, and their interaction to rates of growth are found to vary with age. Implications of the models and the findings are discussed.

Suggested Citation

  • Zhiyong Zhang & John J. McArdle & John R. Nesselroade, 2012. "Growth rate models: emphasizing growth rate analysis through growth curve modeling," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(6), pages 1241-1262, November.
    • Handle: RePEc:taf:japsta:v:39:y:2012:i:6:p:1241-1262
    DOI: 10.1080/02664763.2011.644528
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    Cited by:

    1. Perazzoli, Simone & de Santana Neto, José Pedro & de Menezes, Milton José Mathias Barreto, 2022. "Systematic analysis of constellation-based techniques by using Natural Language Processing," Technological Forecasting and Social Change, Elsevier, vol. 179(C).

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