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Journal article
Partial and Semi-Partial Correlations for Categorical Variables in Educational Research: Addressing Two Common Misconceptions
General linear model journal, Vol.43(1), p.1
2017
Abstract
This article addresses two misconceptions that educational researchers have about partial and semi-partial correlations. To undo the two misconceptions, this article provides a detailed discussion of the two types of correlations under linear regression which includes multiple dummy indicator variables created for a categorical predictor. A numerical example is provided to demonstrate how the two correlations can be properly utilized to solve research questions in education: 1) Interpretation under the substantive problem and 2) assessment of relative importance of predictors in predicting the dependent variable (DV). The article concludes with a summary of findings and provides the SPSS code used so that interested readers may replicate the results.
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Details
- Title
- Partial and Semi-Partial Correlations for Categorical Variables in Educational Research: Addressing Two Common Misconceptions
- Publication Details
- General linear model journal, Vol.43(1), p.1
- Resource Type
- Journal article
- Publisher
- American Educational Research Association's Special Interest Group (SIG) on Multiple Linear Regression: The General Linear Model
- Number of pages
- 15
- Copyright
- © 2017 General Linear Model Journal
- Identifiers
- 99380188393706600
- Academic Unit
- School of Education
- Language
- English