COMMONALITY ANALYSIS: A METHOD FOR DECOMPOSING EXPLAINED VARIANCE IN MULTIPLE REGRESSION ANALYSES

DAVID R. SEIBOLD

doi:10.1111/j.1468-2958.1979.tb00649.x

COMMONALITY ANALYSIS: A METHOD FOR DECOMPOSING EXPLAINED VARIANCE IN MULTIPLE REGRESSION ANALYSES

DAVID R. SEIBOLD

Research output: Contribution to journal › Article › peer-review

114 Scopus citations

Abstract

Commonality analysis is a procedure for decomposing R² in multiple regression analyses into the percent of variance in the dependent variable associated with each independent variable uniquely, and the proportion of explained variance associated with the common effects of predictors. Commonality analysis thus sheds additional light on the magnitude of an obtained multivariate relationship by identifying the relative importance of all independent variables, findings which can be of theoretical and practical significance. In this paper we offer a brief explication of commonality analysis; a step‐by‐step discussion of how communication researchers may perform commonality analyses using output from computer‐assisted statistical analysis programs like SPSS; and we provide an extended example illustrating a commonality analysis.

Original language	English (US)
Pages (from-to)	355-365
Number of pages	11
Journal	Human Communication Research
Volume	5
Issue number	4
DOIs	https://doi.org/10.1111/j.1468-2958.1979.tb00649.x
State	Published - 1979
Externally published	Yes

ASJC Scopus subject areas

Communication
Developmental and Educational Psychology
Anthropology
Linguistics and Language

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10.1111/j.1468-2958.1979.tb00649.x

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AB - Commonality analysis is a procedure for decomposing R2 in multiple regression analyses into the percent of variance in the dependent variable associated with each independent variable uniquely, and the proportion of explained variance associated with the common effects of predictors. Commonality analysis thus sheds additional light on the magnitude of an obtained multivariate relationship by identifying the relative importance of all independent variables, findings which can be of theoretical and practical significance. In this paper we offer a brief explication of commonality analysis; a step‐by‐step discussion of how communication researchers may perform commonality analyses using output from computer‐assisted statistical analysis programs like SPSS; and we provide an extended example illustrating a commonality analysis.

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COMMONALITY ANALYSIS: A METHOD FOR DECOMPOSING EXPLAINED VARIANCE IN MULTIPLE REGRESSION ANALYSES

Abstract

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