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Feldt, Leonard S. – Psychometrika, 1975
In some situations where reliability must be estimated it is impossible to divide the measuring instrument into more than two separately scoreable parts. In such a case, neither Cronbach's coefficient alpha nor Kristof's three-part approach are satisfactory. A technique is developed for estimating reliability in such situations. (Author/BJG)
Descriptors: Achievement Tests, Mathematical Models, Test Reliability, Testing Problems
Peer reviewed Peer reviewed
Gilmer, Jerry S.; Feldt, Leonard S. – Psychometrika, 1983
Estimating the reliability of measures derived from separate questions on essay tests or individual judges on a rater panel is considered. Cronbach's alpha is shown to underestimate reliability in these cases. Some alternative coefficients are presented. (JKS)
Descriptors: Essay Tests, Item Analysis, Measurement Techniques, Rating Scales
Peer reviewed Peer reviewed
Feldt, Leonard S. – Psychometrika, 1980
Procedures are developed for testing the hypothesis that Cronbach's alpha reliability coefficient is equal for two tests given to the same subjects. (Author/JKS)
Descriptors: Error of Measurement, Hypothesis Testing, Measurement, Statistical Significance
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Alsawalmeh, Yousef M.; Feldt, Leonard S. – Psychometrika, 1994
A modification of a test of the equality of nonindependent alpha reliability coefficients is proposed. It avoids the limitation that the product of the number of test parts times the number of subjects be quite large. Monte Carlo studies indicate that this test can be used in comparing interrater reliabilities. (SLD)
Descriptors: Comparative Analysis, Computer Simulation, Equations (Mathematics), Interrater Reliability
Peer reviewed Peer reviewed
Woodruff, David J.; Feldt, Leonard S. – Psychometrika, 1986
This paper presents 11 statistical procedures which test the equality of m coefficient alphas when the sample alpha coefficients are dependent. Several of the procedures are derived in detail, and numerical examples are given for two. (Author/LMO)
Descriptors: Analysis of Covariance, Analysis of Variance, Computer Simulation, Hypothesis Testing