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Big Five Measurement via Q-Sort

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  • Chris D. Fluckinger

Abstract

Socially desirable responding presents a difficult challenge in measuring personality. I tested whether a partially ipsative measure—a normatively scored Q-sort containing traditional Big Five items—would produce personality scores indicative of less socially desirable responding compared with Likert-based measures. Across both instructions to respond honestly and in the context of applying for a job, the Q-sort produced lower mean scores, lower intercorrelations between dimensions, and similar validity in predicting supervisor performance ratings to Likert. In addition, the Q-sort produced a more orthogonal structure (but not fully orthogonal) when modeled at the latent level. These results indicate that the Q-sort method did constrain socially desirable responding. Researchers and practitioners should consider Big Five measurement via Q-sort for contexts in which high socially desirable responding is expected.

Suggested Citation

  • Chris D. Fluckinger, 2014. "Big Five Measurement via Q-Sort," SAGE Open, , vol. 4(3), pages 21582440145, August.
  • Handle: RePEc:sae:sagope:v:4:y:2014:i:3:p:2158244014547196
    DOI: 10.1177/2158244014547196
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    References listed on IDEAS

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    1. Hough, Leaetta M. & Oswald, Frederick L., 2008. "Personality Testing and Industrial–Organizational Psychology: Reflections, Progress, and Prospects," Industrial and Organizational Psychology, Cambridge University Press, vol. 1(3), pages 272-290, September.
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    1. Natalie Kopytko & Alessio Pruneddu, 2018. "Triple-win strategy? Why is not everyone doing it? A participant-driven research method to reveal barriers to crop rotation in Ukraine," Climatic Change, Springer, vol. 149(2), pages 189-204, July.
    2. Vecchio, Yari & Di Pasquale, Jorgelina & Del Giudice, Teresa & Pauselli, Gregorio & Masi, Margherita & Adinolfi, Felice, 2022. "Precision farming: what do Italian farmers really think? An application of the Q methodology," Agricultural Systems, Elsevier, vol. 201(C).

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