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Kim, Yongnam – Journal of Educational and Behavioral Statistics, 2019
Suppression effects in multiple linear regression are one of the most elusive phenomena in the educational and psychological measurement literature. The question is, How can including a variable, which is completely unrelated to the criterion variable, in regression models significantly increase the predictive power of the regression models? In…
Descriptors: Multiple Regression Analysis, Causal Models, Predictor Variables