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ERIC Number: EJ847466
Record Type: Journal
Publication Date: 2009
Pages: 13
Abstractor: As Provided
Reference Count: 10
ISSN: ISSN-1937-0814
An Introduction to Regression & Canonical Commonality Analyses: Partitioning Predicted Variance into Constituent Parts
Yetkiner, Zeynep Ebrar
Middle Grades Research Journal, v4 n2 p57-69 Sum 2009
Commonality analysis is a method of partitioning variance to determine the predictive ability unique to each predictor (or predictor set) and common to two or more of the predictors (or predictor sets). The purposes of the present paper are to (a) explain commonality analysis in a multiple regression context as an alternative for middle grades researchers, and (b) provide a generalization of commonality analysis to canonical correlation analysis. Heuristic applications of commonality analysis in both univariate and multivariate cases using statistical software SPSS will be discussed. (Contains 1 figure and 3 tables.)
Institute for School Improvement, Missouri State University. 901 South National Avenue, Springfield, MO 65897. Tel: 417-836-8854; Fax: 417-836-8881; Web site:
Publication Type: Journal Articles; Reports - Descriptive
Education Level: Grade 7; Grade 8; Middle Schools
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A