Article: article from journal or magazin.
More on Testing for Validity Instead of Looking for It
Personality and Individual Differences
Using Monte Carlo simulations and reanalyzing the data of a validation study of the AEIM emotional intelligence test, we demonstrated that an atheoretical approach and the use of weak statistical procedures can result in biased validity estimates. These procedures included stepwise regression-and the general case of failing to include important theoretical controls-extreme scores analysis, and ignoring heteroscedasticity as well as measurement error. The authors of the AEIM test responded by offering more complete information about their analyses, allowing us to further examine the perils of ignoring theory and correct statistical procedures. In this paper we show with extended analyses that the AEIM test is invalid.
Incremental validity, Control variables, Emotional intelligence, General intelligence, Heteroscedasticity, Measurement error, Validation, Psychometrics, Truncation
Web of science
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