Semi-partial Correlations: I Don't Need Them; You Can Have Them.

Knapp, Thomas R.

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Peer reviewed

ERIC Number: EJ533140

Record Type: Journal

Publication Date: 1996

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ISSN: ISSN-1056-3997

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Semi-partial Correlations: I Don't Need Them; You Can Have Them.

Knapp, Thomas R.

Mid-Western Educational Researcher, v9 n4 p8-9 Fall 1996

Semipartial correlation is one of several ways of determining the relative importance of independent variables in a multiple regression analysis. A veteran teacher of statistics and related topics explains his reasons for avoiding semipartial correlations. (SV)

Descriptors: Correlation, Multiple Regression Analysis, Predictor Variables, Research Methodology

Publication Type: Reports - Descriptive; Opinion Papers; Journal Articles

Education Level: N/A

Audience: N/A

Language: English

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