Statistical Extensions of Ponterotto and Ruckdeschel's (2007) Reliability Matrix for Estimating the Adequacy of Internal Consistency Coefficients

The present article extends work on Ponterotto and Ruckdeschel's Reliability Matrix for estimating the adequacy of internal consistency measures. Specifically, it uses statistical tests to determine whether a calculated coefficient alpha is equal to or greater than the hypothesized population c...

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Bibliographic Details
Published in:Perceptual and motor skills 2009-06, Vol.108 (3), p.878-886
Main Authors: Ponterotto, Joseph G., Charter, Richard A.
Format: Article
Language:English
Subjects:
Algorithms
Confidence Intervals
Guidelines as Topic - standards
Humans
Matrix
Models, Statistical
Psychometrics
Quantitative psychology
Reliability
Reproducibility of Results
Research Design - standards
Sample Size
Statistical methods
Statistics as Topic - standards
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Summary:The present article extends work on Ponterotto and Ruckdeschel's Reliability Matrix for estimating the adequacy of internal consistency measures. Specifically, it uses statistical tests to determine whether a calculated coefficient alpha is equal to or greater than the hypothesized population coefficient alpha identified in the Reliability Matrix. The Feldt, Woodruff, and Salih (1987) confidence interval test and Bonett's (2002) approximate z-test and N formula are applied. Select guidelines on reliability assessment and conducting statistical tests to determine adequacy of coefficient alpha are presented.
ISSN:0031-5125
1558-688X
DOI:10.2466/pms.108.3.878-886