From alpha to omega: A practical solution to the pervasive problem of internal consistency estimation.

Coefficient alpha is the most popular measure of reliability (and certainly of internal consistency reliability) reported in psychological research. This is noteworthy given the numerous deficiencies of coefficient alpha documented in the psychometric literature. This mismatch between theory and pra...

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Published in:British Journal of Psychology Vol. 105; no. 3; pp. 399 - 413
Main Authors: Dunn, Thomas J., Baguley, Thom, Brunsden, Vivienne
Format: Article
Published: Wiley-Blackwell Aug2014
Subjects:
Online Access:View this record in EBSCOhost
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        96986406
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        atl: From alpha to omega: A practical solution to the pervasive problem of internal consistency estimation.
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        au:
          Dunn, Thomas J.
          Baguley, Thom
          Brunsden, Vivienne
        affil: Division of Psychology, Nottingham Trent University, UK
      su:
        Psychometrics
        Reliability (Personality trait)
        Statistical correlation
        Research evaluation
        Structural equation modeling
      sug:
        subj:
          Psychometrics
          Reliability (Personality trait)
          Statistical correlation
          Research evaluation
          Structural equation modeling
      ab: Coefficient alpha is the most popular measure of reliability (and certainly of internal consistency reliability) reported in psychological research. This is noteworthy given the numerous deficiencies of coefficient alpha documented in the psychometric literature. This mismatch between theory and practice appears to arise partly because users of psychological scales are unfamiliar with the psychometric literature on coefficient alpha and partly because alternatives to alpha are not widely known. We present a brief review of the psychometric literature on coefficient alpha, followed by a practical alternative in the form of coefficient omega. To facilitate the shift from alpha to omega, we also present a brief guide to the calculation of point and interval estimates of omega using a free, open source software environment.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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