Increasing interest in individual differences related to emotion is evident in the recent appearance of a large number of self-report instruments designed to assess aspects of the feeling experience. In this article, the authors review a sample of 18 of these scales and report technical information on each (e.g., length, format, reliability, construct validity, and correlates). They propose that this domain of individual differences can be usefully structured into five conceptual categories, including measures of absorption, attention, clarity, intensity, and expression. The measures were administered to a sample of individuals, and the coherence of the proposed categories was examined through hierarchical cluster analyses. The results confirmed the proposed structure of this domain of individual difference measures. The authors argue for the usefulness of an individual differences approach to theory testing and specify some of the information-processing roles that might be played by the categories of individual differences found in the data.
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