Analyses of artificial data involving repeated, related binary measures to different samples suggests that Tideman's generalized χ2 statistic and conventional repeated-measures analysis of variance do not produce conflicting outcomes. Provided the appropriate assumptions are met analysis of variance may provide a more versatile approach.
Get full access to this article
View all access options for this article.
References
1.
Kirk, R. E.Experimental design: Procedures for the behavioral sciences. Belmont: Brook-Cole, 1968.
2.
Tideman, T. N.A generalized χ2 for the significance of differences in repeated, related measures applied to different samples . EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 1979, 39, 333-336.
3.
Winer, B. J.Statistical principles in experimental design. (2nd ed.) New York: McGraw-Hill, 1971.
