Two-way Anova with Unequal Cell Frequencies and Unequal Variances
نویسندگان
چکیده
In this article we consider the Two-Way ANOVA model with unequal cell frequencies without the assumption of equal error variances. By taking the generalized approach to finding p-values, classical F-tests for no interaction effects and equal main effects are extended under heteroscedasticity. The generalized Ftests developed in this article can be utilized in significance testing or in fixed level testing under the Neyman-Pearson theory. An example is given to illustrate the proposed test and to demonstrate its advantage over the classical F-test. A simulation study is carried out to demonstrate that, despite its increased power under heteroscedasticity, the size of the test does not exceed the intended level.
منابع مشابه
A Parametric Bootstrap Approach for One-Way ANOVA Under Unequal Variances with Unbalanced Data
This research is to provide a solution of one-way ANOVA without using transformation when variances are heteroscedastic and group sizes are unequal. Parametric boothstrap test (Krishnamoorthy, Lu, & Mathew, 2007) has been shown to be competitive with many other methods when testing the equality of group means. We extend the parametric bootstrap algorithm to a multiple comparison procedure. Simu...
متن کاملComparing the Student ' s t and the ANOVA contrast procedure with five alternative procedures
A robustness study to investigate the performance of six procedures for comparing two or more groups, under several circumstances, has been carried out. The study was divided in four parts. The first three were Monte-Carlo studies, and the fourth was a study on empirical data. The six procedures were the ANOVA (or its special case, the Student's t) procedure (1), the Satterthwaite (or its speci...
متن کاملOn the Size of the F-Test for the One-Way Random Model with Heterogeneous Error Variances
Traditional analysis of variance (ANOVA) tests are based on the assumption of homogeneous error variances, which often fails in real situations. Violation of this assumption affects not only the power of the standard F-test, but also its size. When a design is unbalanced, the effect of unequal error variances is even more complicated. In this paper, we study the effect of heterogeneous error va...
متن کاملA parametric bootstrap approach for ANOVA with unequal variances: Fixed and random models
This article is about testing the equality of several normal means when the variances are unknown and arbitrary, i.e., the set up of the one-way ANOVA. Even though several tests are available in the literature, none of them perform well in terms of type I error probability under various sample size and parameter combinations. In fact, the type I errors can be highly inflated for some of the com...
متن کاملInflation of Type I Error Rates by Unequal Variances Associated with Parametric, Nonparametric, and Rank-Transformation Tests
It is well known that the two-sample Student t test fails to maintain its significance level when the variances of treatment groups are unequal, and, at the same time, sample sizes are unequal. However, introductory textbooks in psychology and education often maintain that the test is robust to variance heterogeneity when sample sizes are equal. The present study discloses that, for a wide vari...
متن کامل