On the validity of narrow and broad personality traits: A response to |
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Affiliation: | 1. Department of Psychology, Brock University, St. Catharines, ON L2S 3A1 Canada;2. Department of Psychology, University of Western Ontario, London, ON N6A 5C2 Canada;3. Department of Psychology, University of Calgary, Calgary, AB T2N 1N4 Canada;1. Auckland University of Technology, Auckland, New Zealand;2. Central China Normal University, Wuhan, People’s Republic of China;3. University of Auckland, Auckland, New Zealand;1. Texas State University, Department of Management, 545 McCoy Hall, San Marcos, TX 78666, United States;2. Texas State University, Department of Management, 547 McCoy Hall, San Marcos, TX 78666, United States;3. Texas State University, Department of Management, 526 McCoy Hall, San Marcos, TX 78666, United States;1. Aarhus University, Denmark;2. Stadtmission Nürnberg, Germany;3. Bezirkskrankenhaus Straubing, Germany |
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Abstract: | Salgado, Moscoso, and Berges (2013) have recently commented on the issue of the comparative validity of broad factor-level personality traits and narrow facet-level personality traits, providing arguments and data suggesting superior validity for the former. In response, we first clarify some of our previous points that were discussed by Salgado et al. and comment on some other aspects of their article. We then provide an empirical example in which a facet-level personality scale does better in predicting a delinquency criterion than does the factor-level personality scale that contains that facet. We also use CFA to demonstrate that it was the specific trait variance in our narrow predictor that added significantly to predictive validity, above and beyond the validity achieved by the common factor variance contained within the trait measure. These results support our previous conclusion that exclusive reliance on broad factor measures can be counterproductive for understanding and predicting behavior. |
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Keywords: | Personality assessment Predictive validity Broad versus narrow traits |
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