A Comparison of Tests for Equality of Two or More Independent Alpha Coefficients

Autor:	Seonghoon Kim, Leonard S. Feldt
Rok vydání:	2008
Předmět:	Computation Statistical power Education Power (physics) Test (assessment) Alpha (programming language) Error variance Statistics Developmental and Educational Psychology Psychology (miscellaneous) Applied Psychology Statistical hypothesis testing Mathematics Type I and type II errors
Zdroj:	Journal of Educational Measurement. 45:179-193
ISSN:	1745-3984 0022-0655
DOI:	10.1111/j.1745-3984.2008.00059.x
Popis:	This article extends the Bonett (2003a) approach to testing the equality of alpha coefficients from two independent samples to the case ofm≥2independent samples. The extended Fisher-Bonett test and its competitor, the Hakstian-Whalen (1976) test, are illustrated with numerical examples of both hypothesis testing and power calculation. Computer simulations are used to compare the performance of the two tests and theFeldt (1969)test (for m=2) in terms of power and Type I error control. It is shown that the Fisher-Bonett test is just as effective as its competitors in controlling Type I error, is comparable to them in power, and is equally robust against heterogeneity of error variance.
Databáze:	OpenAIRE
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