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ERIC Number: EJ995834
Record Type: Journal
Publication Date: 2013-Mar
Pages: 12
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1534-5084
EISSN: N/A
Available Date: N/A
Modeling Nonlinear Growth with Three Data Points: Illustration with Benchmarking Data
Kamata, Akihito; Nese, Joseph F. T.; Patarapichayatham, Chalie; Lai, Cheng-Fei
Assessment for Effective Intervention, v38 n2 p105-116 Mar 2013
The purpose of this article is to demonstrate ways to model nonlinear growth using three testing occasions. We demonstrate our growth models in the context of curriculum-based measurement using the fall, winter, and spring passage reading fluency benchmark assessments. We present a brief technical overview that includes the limitations of a growth model with three time points, and how nonlinear growth can be modeled and the associated limitations. We present results for a piecewise growth mixture modeling approach to model nonlinear growth for 1 to 3 classes, as well as to further explain individual differences and to capture heterogeneity of growth patterns. We discuss our interpretation of these results, as well as the implications of different methods for modeling nonlinear growth with three occasions. (Contains 3 tables, 3 figures, and 2 notes.)
SAGE Publications and Hammill Institute on Disabilities. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
IES Funded: Yes
Grant or Contract Numbers: R324A100014; R324C110004
Author Affiliations: N/A