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Nathans, Laura L.; Oswald, Frederick L.; Nimon, Kim – Practical Assessment, Research & Evaluation, 2012
Multiple regression (MR) analyses are commonly employed in social science fields. It is also common for interpretation of results to typically reflect overreliance on beta weights, often resulting in very limited interpretations of variable importance. It appears that few researchers employ other methods to obtain a fuller understanding of what…
Descriptors: Multiple Regression Analysis, Predictor Variables, Measurement, Correlation
Nimon, Kim; Reio, Thomas G., Jr. – Human Resource Development Review, 2011
When it comes to multiple linear regression analysis (MLR), it is common for social and behavioral science researchers to rely predominately on beta weights when evaluating how predictors contribute to a regression model. Presenting an underutilized statistical technique, this article describes how organizational researchers can use commonality…
Descriptors: Multiple Regression Analysis, Statistical Analysis, Labor Force Development