The SAS/IML computer program package performs the James second-order procedure in two-factor fixed-effect ANOVA models. Researchers can conveniently test main effects and interaction effects by applying the James second-order test, which can be applied regardless of the homogeneity restriction.
Get full access to this article
View all access options for this article.
References
1.
Brown, M. B. , & Forsythe, A. B. (1974). The small sample behavior of some statistics which test the equality of several means. Technometric, 16, 129-132.
2.
Hsiung, T. , & Olejnik, S. (April, 1993). Contrast analysis for nonorthogonal two-factor design with homogeneous or heterogeneous variances. Paper presented at the annual meeting of the American Educational Research Association, Atlanta, Georgia.
3.
Hsiung, T. , Olejnik, S., & Huberty, C. (1994). A comment on Wilcox's improved test for comparing means when variances are unequal. Journal of Educational Statistics, 19, 111-118.
4.
James, G. S. (1951). The comparison of several groups of observations when the ratios of the population variances are unknown. Biometrika, 38, 324-329.
5.
Oshima C. , & Algina, J. (1992). A SAS program for testing the hypothesis of the equal means under heteroscedasticity: James's second order test. Educational and Psychological Measurement, 52, 117-118.
6.
Welch, B. L. (1951). On the comparison of several mean values: An alternative approach. Biometrika, 38, 330-336.
7.
Wilcox, R. R. (1988). A new alternative to the ANOVA F and new results on James's second-order method. British Journal of Mathematical and Statistical Psychology, 41, 109-117.
8.
Wilcox, R. R. (1989). Adjusting for unequal variances when comparing means in one-way and two-way fixed effects ANOVA models. Journal of Educational Statistics, 14, 93-112.