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Alsawalmeh, Yousef M.; Feldt, Leonard S. – Applied Psychological Measurement, 2000
Developed a statistical test for the hypothesis of the equality of extrapolated coefficients when the original values (Cronbach's alpha) are based on the same sample of persons and, therefore, are statistically dependent. Monte Carlo studies show that the test precisely controlled Type I error, even with small numbers of parttest units or raters.…
Descriptors: Monte Carlo Methods, Reliability
Peer reviewed Peer reviewed
Feldt, Leonard S.; Ankenmann, Robert D. – Applied Psychological Measurement, 1998
Developed a graphical method of determining adequate sample size based on the power of L. Feldt's (1969) test of the difference between two values of Cronbach's alpha coefficient. Discusses assumptions on which this approach is based. (SLD)
Descriptors: Comparative Analysis, Reliability, Sample Size
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Alsawalmeh, Yousef M.; Feldt, Leonard S. – Applied Psychological Measurement, 1999
Developed an approximate statistical test for the hypothesis of equality between the Spearman-Brown extrapolations of two independent values of Cronbach's alpha reliability coefficient. Monte Carlo simulations demonstrate that the procedure effectively controls Type I error. (SLD)
Descriptors: Monte Carlo Methods, Reliability, Simulation
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Alsawalmeh, Yousef M.; Feldt, Leonard S. – Applied Psychological Measurement, 1994
An approximate statistical test of the equality of two intraclass reliability coefficients based on the same sample of people is derived. Such a test is needed when a researcher wishes to compare the reliability of two measurement procedures, and both procedures can be applied to results from the same group. (SLD)
Descriptors: Comparative Analysis, Measurement Techniques, Reliability, Sampling
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Alsawalmeh, Yousef M.; Feldt, Leonard S. – Applied Psychological Measurement, 1992
An approximate statistical test is derived for the hypothesis that the intraclass reliability coefficients associated with two measurement procedures are equal. Control of Type 1 error is investigated by comparing empirical sampling distributions of the test statistic with its derived theoretical distribution. A numerical illustration is…
Descriptors: Equations (Mathematics), Hypothesis Testing, Mathematical Models, Measurement Techniques