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ERIC Number: EJ870694
Record Type: Journal
Publication Date: 2009
Pages: 26
Abstractor: As Provided
Reference Count: 57
ISSN: ISSN-1070-5511
Nonlinear Growth Models in M"plus" and SAS
Grimm, Kevin J.; Ram, Nilam
Structural Equation Modeling: A Multidisciplinary Journal, v16 n4 p676-701 2009
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 M"plus" 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. (Contains 4 figures, 2 tables and 3 footnotes.)
Psychology Press. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site:
Publication Type: Journal Articles; Reports - Descriptive
Education Level: Preschool Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Woodcock Johnson Tests of Achievement