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Autor/inn/en | Algina, James; und weitere |
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Titel | Type I Error Rates for Welch's Test and James's Second-Order Test under Nonnormality and Inequality of Variance when There Are Two Groups. |
Quelle | (1993), (22 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Monographie |
Schlagwörter | Comparative Analysis; Equations (Mathematics); Estimation (Mathematics); Mathematical Models; Sample Size |
Abstract | Type I error rates were estimated for three tests that compare means by using data from two independent samples: the independent samples t test, Welch's approximate degrees of freedom test, and James's second order test. Type I error rates were estimated for skewed distributions, equal and unequal variances, equal and unequal sample sizes, and a range of total sample sizes. Welch's test and James's test have very similar Type I error rates and tend to control the Type I error rate as well or better than the independent samples t test does. The results provide guidance about the total sample sizes required for controlling Type I error rates. Nine tables are included. (Contains 16 references.) (Author) |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |