Meta-Analytic Guidelines for Evaluating Single-Item Reliabilities of Personality Instruments

Abstract

Personality is an important predictor of various outcomes in many social science disciplines. However, when personality traits are not the principal focus of research, for example, in global comparative surveys, it is often not possible to assess them extensively. In this article, we first provide an overview of the advantages and challenges of single-item measures of personality, a rationale for their construction, and a summary of alternative ways of assessing their reliability. Second, using seven diverse samples (Ntotal = 4,263) we develop the SIMP-G, the German adaptation of the Single-Item Measures of Personality, an instrument assessing the Big Five with one item per trait, and evaluate its validity and reliability. Third, we integrate previous research and our data into a first meta-analysis of single-item reliabilities of personality measures, and provide researchers with guidelines and recommendations for the evaluation of single-item reliabilities.

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