Using simple and complex growth models to articulate developmental change: Matching theory to method

Author:

Ram Nilam1,Grimm Kevin2

Affiliation:

1. Pennsylvania State University, USA,

2. University of Virginia, USA

Abstract

Growth curve modeling has become a mainstay in the study of development. In this article we review some of the flexibility provided by this technique for describing and testing hypotheses about: (1) intraindividual change across multiple occasions of measurement, and (2) interindividual differences in intraindividual change. Through empirical example we demonstrate how linear, quadratic, latent basis, exponential, and multiphase versions of the model can be specified using commonly available SEM/multilevel modeling software and illustrate and discuss how results are obtained and interpreted. Particularly, we underscore the “developmental theory” articulated by each model.

Publisher

SAGE Publications

Subject

Developmental and Educational Psychology,Life-span and Life-course Studies,Developmental Neuroscience,Social Psychology,Social Sciences (miscellaneous),Education

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3. Browne, M.W. & Cudeck, R. (1993). Alternative ways of assessing model fit. In K.A. Bollen & J.S. Long (Eds.), Testing structural equation models (pp. 136—162). Beverley Hills, CA: Sage.

4. Models for learning data.

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