Journal
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
Volume 16, Issue 4, Pages 676-701Publisher
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/10705510903206055
Keywords
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Funding
- National Institute of Child Health and Human Development [R01 HD27176]
- National Science Foundation [0111754]
- U. S. Department of Education [R305H04013, R305B040049]
- NIA [T32 AG20500, R21 AG032379]
- EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH &HUMAN DEVELOPMENT [R01HD027176] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE ON AGING [T32AG020500, R21AG032379] Funding Source: NIH RePORTER
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Nonlinear growth curves or growth curves that follow a specified nonlinear function in time enable researchers to model complex developmental patterns with parameters that are easily interpretable. In this article we describe how a variety of sigmoid curves can be fit using the Mplus structural modeling program and the nonlinear mixed-effects modeling procedure NLMIXED in SAS. Using longitudinal achievement data, collected as part of a study examining the effects of preschool instruction on academic gain, we illustrate the procedures for fitting growth models of logistic, Gompertz, and Richards functions. Brief notes regarding the practical benefits, limitations, and choices faced in the fitting and estimation of such models are included.
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