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Is the Short Version of the Big Five Inventory (BFI-S) Applicable for Use in Telephone Surveys?

Author

Listed:
  • Brust Oliver A.
  • Häder Michael

    (Technische Universität Dresden, Faculty of Philosophy, Institute of Sociology, D-01062 Dresden, Germany.)

  • Häder Sabine

    (Leibniz Institute for the Social Sciences, PBox 122155, D-68072 Mannheim, Germany.)

Abstract

The inclusion of psychological indicators in survey research has become more common because they offer the possibility of explaining much of the variance in sociological variables. The Big Five personality dimensions in particular are often used to explain opinions, attitudes, and behavior. However, the short versions of the Big Five Inventory (BFI-S) were developed for face-to-face surveys. Studies have shown distortions in the identification of the Big Five factor structure in subsamples of older respondents in landline telephone surveys. We applied the same BFI-S but with a shorter rating scale in a telephone survey with two subsamples (landline and mobile phone). Using exploratory structural equation modeling (ESEM), we identified the Big Five structure in the subsamples and the age groups. This finding leads us to conclude that the BFI-S is a powerful means of including personality characteristics in telephone surveys.

Suggested Citation

  • Brust Oliver A. & Häder Michael & Häder Sabine, 2016. "Is the Short Version of the Big Five Inventory (BFI-S) Applicable for Use in Telephone Surveys?," Journal of Official Statistics, Sciendo, vol. 32(3), pages 601-618, September.
    • Handle: RePEc:vrs:offsta:v:32:y:2016:i:3:p:601-618:n:3
    DOI: 10.1515/jos-2016-0031
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    References listed on IDEAS

    as
    1. Lang, Frieder R. & John, Dennis & Lüdtke, Oliver & Schupp, Jürgen & Wagner, Gert G., 2011. "Short Assessment of the Big Five: Robust Across Survey Methods Except Telephone Interviewing," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 43(2), pages 548-567.
    2. Jan Goebel & Markus M. Grabka & Peter Krause & Martin Kroh & Rainer Pischner & Ingo Sieber & Martin Spieß, 2008. "Mikrodaten, Gewichtung und Datenstruktur der Längsschnittstudie Sozio-oekonomisches Panel (SOEP)," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 77(3), pages 77-109.
    3. Ledyard Tucker & Charles Lewis, 1973. "A reliability coefficient for maximum likelihood factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 38(1), pages 1-10, March.
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