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 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.
Ponterotto
Joseph G
JG
Division of Psychological and Educational Services, Room 1008, Fordham University at Lincoln Center, 113 West 60th Street, New York, NY 10023-7478, USA. JPonterott@aol.com
Charter
Richard A
RA
D000465:Algorithms; D016001:Confidence Intervals; D017408:Guidelines as Topic / Q000592:standards; D006801:Humans; D015233:Models, Statistical; D011594:Psychometrics; D015203:Reproducibility of Results; D012107:Research Design / Q000592:standards*; D018401:Sample Size; D013223:Statistics as Topic / Q000592:standards*