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Use of Structure Coefficients in Published Multiple Regression Articles: ß is not Enough
Troy Courville
Sam Houston State University
Bruce Thompson
Texas A&M University
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.
Educational and Psychological Measurement, Vol. 61, No. 2,
229-248 (2001)
DOI: 10.1177/0013164401612006
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