Abstract
The importance of interpreting structure coefficients throughout the General Linear Model (GLM) is widely accepted. However, regression researchers too infrequently consult regression structure coefficients to augment their interpretations. The authors reviewed articles published in the Journal of Applied Psychology to determine how interpretations might have differed if standardized regression coefficients and structure coefficients (or else bivariate rs of predictors with the criterion) had been interpreted. Some dramatic misinterpretations or incomplete interpretations are summarized. It is suggested that beta weights and structure coefficients (or else bivariate rs of predictors with the criterion) ought to be interpreted when noteworthy regression results have been isolated.
Keywords
Bivariate analysisStatisticsStandardized coefficientLinear regressionRegressionRegression analysisCross-sectional regressionEconometricsRegression diagnosticMathematicsRegression dilutionPsychologyBayesian multivariate linear regression
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Publication Info
- Year
- 2001
- Type
- article
- Volume
- 61
- Issue
- 2
- Pages
- 229-248
- Citations
- 454
- Access
- Closed
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Cite This
Troy Courville,
Bruce Thompson
(2001).
Use of Structure Coefficients in Published Multiple Regression Articles: β is not Enough.
Educational and Psychological Measurement
, 61
(2)
, 229-248.
https://doi.org/10.1177/0013164401612006
Identifiers
- DOI
- 10.1177/0013164401612006