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Confidence Intervals for Cronbach's Coefficient Alpha Values

Author

Listed:
  • Koning, A.J.
  • Franses, Ph.H.B.F.

Abstract

Coefficient Alpha, which is widely used in empirical research, estimates the reliability of a test consisting of parallel items. In practice it is difficult to compare values of alpha across studies as it depends on the number of items used. In this paper we provide a simple solution, which amounts to computing the confidence intervals of an alpha, as these intervals automatically account for differences across the numbers of items. We also give appropriate statistics to test for significant differences of alpha values across studies.

Suggested Citation

  • Koning, A.J. & Franses, Ph.H.B.F., 2003. "Confidence Intervals for Cronbach's Coefficient Alpha Values," ERIM Report Series Research in Management ERS-2003-041-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  • Handle: RePEc:ems:eureri:431
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    File URL: https://repub.eur.nl/pub/431/ERS-2003-041-MKT.pdf
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    Cited by:

    1. Samson Okello & Benson Nasasira & Anthony Ndichu Wa Muiru & Anthony Muyingo, 2016. "Validity and Reliability of a Self-Reported Measure of Antihypertensive Medication Adherence in Uganda," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-11, July.
    2. Arana-Solares, Iván Andrés & Ortega-Jiménez, César H. & Alfalla-Luque, Rafaela & Pérez-Díez de los Ríos, José Luis, 2019. "Contextual factors intervening in the manufacturing strategy and technology management-performance relationship," International Journal of Production Economics, Elsevier, vol. 207(C), pages 81-95.
    3. Leontitsis, Alexandros & Pagge, Jenny, 2007. "A simulation approach on Cronbach's alpha statistical significance," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 73(5), pages 336-340.

    More about this item

    Keywords

    Cronbach's alpha; confidence intervals; test reliability;
    All these keywords.

    JEL classification:

    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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