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Coefficient alpha and reliability of scale scores created by Rashid S. Almehrizi

By: Material type: TextTextSeries: ; Volume , number ,Oman : Sage; 2013Content type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
Subject(s): Online resources: Summary: The majority of large-scale assessments develop various score scales that are either linear or nonlinear transformations of raw scores for better interpretations and uses of assessment results. The current formula for coefficient alpha (α; the commonly used reliability coefficient) only provides internal consistency reliability estimates of raw scores. This article presents a general form of α and extends its use to estimate internal consistency reliability for nonlinear scale scores (used for relative decisions). The article also examines this estimator of reliability using different score scales with real data sets of both dichotomously scored and polytomously scored items. Different score scales show different estimates of reliability. The effects of transformation functions on reliability of different score scales are also explored.
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Item type Current library Call number Vol info Copy number Status Notes Date due Barcode
Journal Article Journal Article Main Library - Special Collections BF39 APP (Browse shelf(Opens below)) Vol. 37, No. 6 pages 438-459 SP17170 Not for loan For in-house use only

The majority of large-scale assessments develop various score scales that are either linear or nonlinear transformations of raw scores for better interpretations and uses of assessment results. The current formula for coefficient alpha (α; the commonly used reliability coefficient) only provides internal consistency reliability estimates of raw scores. This article presents a general form of α and extends its use to estimate internal consistency reliability for nonlinear scale scores (used for relative decisions). The article also examines this estimator of reliability using different score scales with real data sets of both dichotomously scored and polytomously scored items. Different score scales show different estimates of reliability. The effects of transformation functions on reliability of different score scales are also explored.

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