ERIC Number: EJ1103324
Record Type: Journal
Publication Date: 2016-Jul
Abstractor: As Provided
Reference Count: 27
On the Benefits of Latent Variable Modeling for Norming Scales: The Case of the "Supports Intensity Scale-Children's Version"
Seo, Hyojeong; Little, Todd D.; Shogren, Karrie A.; Lang, Kyle M.
International Journal of Behavioral Development, v40 n4 p373-384 Jul 2016
Structural equation modeling (SEM) is a powerful and flexible analytic tool to model latent constructs and their relations with observed variables and other constructs. SEM applications offer advantages over classical models in dealing with statistical assumptions and in adjusting for measurement error. So far, however, SEM has not been fully used to develop norms of assessments in educational or psychological fields. In this article, we highlighted the norming process of the "Supports Intensity Scale-Children's Version" (SIS-C) within the SEM framework, using a recently developed method of identification (i.e., effects-coding method) that estimates latent means and variances in the metric of the observed indicators. The SIS-C norming process involved (a) creating parcels, (b) estimating latent means and standard deviations, (c) computing "T" scores using obtained latent means and standard deviations, and (d) reporting percentile ranks.
Descriptors: Measures (Individuals), Structural Equation Models, Test Norms, Case Studies, Children, Adolescents, Intellectual Disability, Factor Analysis, Computation
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Sponsor: Institute of Education Sciences (ED)
Authoring Institution: N/A
IES Funded: Yes
Grant or Contract Numbers: R324A120407