Graduation Term

2016

Degree Name

Master of Science (MS)

Department

Department of Psychology

Committee Chair

Jeffrey H. Kahn

Abstract

The understanding of psychometric properties of emotional expressivity measures is often limited to rudimentary statistics. The present study investigated, in depth, the psychometric properties of four measures of emotional expressivity (the Self-Concealment Scale, the Distress Disclosure Index, the Emotional Expressivity Scale, and the Emotion Regulation Questionnaire – Suppression subscale). Item response theory (IRT) analyses suggested that recoded versions of the measures’ Likert scales may be beneficial in practice as well as the deletion of some measures’ items. IRT analyses of the four measures of emotional expressivity provide more information than classical test theory statistics about how to implement these measures best.

Access Type

Thesis-Open Access

DOI

http://doi.org/10.30707/ETD2016.Matheys.M

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