Bottom Up Construction of a Personality Taxonomy

Author:

Condon David M.1,Wood Dustin2,Mõttus René34,Booth Tom3,Costantini Giulio5,Greiff Samuel6,Johnson Wendy3,Lukaszewski Aaron7,Murray Aja3,Revelle William8,Wright Aidan G. C.9,Ziegler Matthias10,Zimmermann Johannes11

Affiliation:

1. Department of Psychology, University of Oregon, Eugene, OR, USA

2. Department of Management/Culverhouse College of Business, University of Alabama, USA

3. Department of Psychology, University of Edinburgh, UK

4. Institute of Psychology, University of Tartu, Estonia

5. Department of Psychology, University of Milan-Bicocca, Italy

6. Department of Behavioural and Cognitive Sciences, University of Luxembourg, Luxembourg

7. Department of Psychology, California State University, Fullerton, CA, USA

8. Department of Psychology, Northwestern University, USA

9. Department of Psychology, University of Pittsburgh, USA

10. Department of Psychology, Humboldt Universität zu Berlin, Germany

11. Department of Psychology, University of Kassel, Germany

Abstract

Abstract. In pursuit of a more systematic and comprehensive framework for personality assessment, we introduce procedures for assessing personality traits at the lowest level: nuances. We argue that constructing a personality taxonomy from the bottom up addresses some of the limitations of extant top-down assessment frameworks (e.g., the Big Five), including the opportunity to resolve confusion about the breadth and scope of traits at different levels of the organization, evaluate unique and reliable trait variance at the item level, and clarify jingle/jangle issues in personality assessment. With a focus on applications in survey methodology and transparent documentation, our procedures contain six steps: (1) identification of a highly inclusive pool of candidate items, (2) programmatic evaluation and documentation of item characteristics, (3) test-retest analyses of items with adequate qualitative and quantitative properties, (4) analysis of cross-ratings from multiple raters for items with adequate retest reliability, (5) aggregation of ratings across diverse samples to evaluate generalizability across populations, (6) evaluations of predictive utility in various contexts. We hope these recommendations are the first step in a collaborative effort to identify a comprehensive pool of personality nuances at the lowest level, enabling subsequent construction of a robust hierarchy – from the bottom up.

Publisher

Hogrefe Publishing Group

Subject

Applied Psychology

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