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ERIC Number: EJ940984
Record Type: Journal
Publication Date: 2011-Oct
Pages: 6
Abstractor: As Provided
Reference Count: 16
ISSN: ISSN-0016-9862
Beyond Multiple Regression: Using Commonality Analysis to Better Understand R[superscript 2] Results
Warne, Russell T.
Gifted Child Quarterly, v55 n4 p313-318 Oct 2011
Multiple regression is one of the most common statistical methods used in quantitative educational research. Despite the versatility and easy interpretability of multiple regression, it has some shortcomings in the detection of suppressor variables and for somewhat arbitrarily assigning values to the structure coefficients of correlated independent variables. Commonality analysis--heretofore rarely used in gifted education research--is a statistical method that partitions the explained variance of a dependent variable into nonoverlapping parts according to the independent variable(s) that are related to each portion. This Methodological Brief includes an example of commonality analysis and equations for researchers who wish to conduct their own analyses; an Excel spreadsheet that conducts the procedure automatically is available from the journal's supplemental archive or from the author. (Contains 5 tables.)
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A