Short Assessment of the Big Five: Robust across Survey Methods Except Telephone Interviewing

Aufsätze referiert extern - Web of Science 2 / 2011

Frieder R. Lang, Dennis John, Oliver Lüdtke, Jürgen Schupp, Gert G. Wagner

In: Behavior Research Methods 43 (2011), 2, S. 548-567

Abstract

We examined measurement invariance and age-related robustness of a short 15-item Big Five Inventory (BFI-S) of personality dimensions, which is well suited for applications in large-scale multidisciplinary surveys. The BFI-S was assessed in three different interviewing conditions: computer-assisted or paper-assisted face-to-face interviewing, computer-assisted telephone interviewing, and a self-administered questionnaire. Randomized probability samples from a large-scale German panel survey and a related probability telephone study were used in order to test method effects on self-report measures of personality characteristics across early, middle, and late adulthood. Exploratory structural equation modeling was used in order to test for measurement invariance of the five-factor model of personality trait domains across different assessment methods. For the short inventory, findings suggest strong robustness of self-report measures of personality dimensions among young and middle-aged adults. In old age, telephone interviewing was associated with greater distortions in reliable personality assessment. It is concluded thatthe greater mental workload of telephone interviewing limits the reliability of self-report personality assessment. Face-to-face surveys and self-administrated questionnaire completion are clearly better suited than phone surveys when personality traits in age-heterogeneous samples are assessed.

Jürgen Schupp

Wissenschaftler in der Infrastruktureinrichtung Sozio-oekonomisches Panel

Gert G. Wagner

Senior Research Fellow in der Infrastruktureinrichtung Sozio-oekonomisches Panel



Keywords: Big Five, Personality, Survey method, Face-to-face, Telephone interview, Self-administrated questionnaire, Exploratory structural equa. - tion modeling (ESEM)
DOI:
http://dx.doi.org/10.3758/s13428-011-0066-z
Frei zugängliche Version: (econstor)
http://hdl.handle.net/10419/71760