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ERIC Number: ED560746
Record Type: Non-Journal
Publication Date: 2013
Pages: 3
Abstractor: As Provided
Reference Count: 3
ISBN: N/A
ISSN: N/A
Statistical Test for Latent Growth Nonlinearity with Three Time Points. Research Brief 8
Nese, Joseph F. T.
National Center on Assessment and Accountability for Special Education
Curriculum-based measurement (CBM) is a system of assessment used to screen for students at risk for poor learning. CBM benchmark screening assessments are typically administered to all students in the fall, winter, and spring, and these data are frequently used by researchers to model and perhaps explain within-year growth. Modeling growth with three time points involves distinct choices in the functional form of growth that can be modeled as well as the parameters that can be estimated. Generally, only a linear growth model can be fully specified; however, research suggests that within-year CBM growth is often nonlinear, with decreasing or decelerating growth across the year. The purpose of this brief is to demonstrate how an estimated slope factor loading approach can be used in a structural equation modeling (SEM) framework to obtain a direct statistical test of nonlinearity provided by the output of your SEM program.
National Center on Assessment and Accountability for Special Education. 5262 University of Oregon, Eugene, OR 97403. Tel: 541-346-3535; Fax: 541-346-5689. Web site: http://ncaase.com
Publication Type: Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: Institute of Education Sciences (ED)
Authoring Institution: National Center on Assessment and Accountability for Special Education (NCAASE)
IES Funded: Yes
Grant or Contract Numbers: R324C110004