Add to ORKGA simulation study was conducted to examine the efficacy of conditional analysis of variance (ANOVA) methods where the initial homogeneity of variance screening leads to the choice between the ANOVA F test and robust ANOVA methods. Type I error control and statistical power were investigated under various conditions
Valid use of the traditional independent samples ANOVA procedure requires that the population varian...
[[abstract]]The procedures of testing the equality of normal means in the conventional analysis of v...
When n replicates are available from a factorial experiment, several methods exist for testing the v...
A simulation study was conducted to examine the efficacy of conditional analysis of variance (ANOVA)...
Although the Analysis of Variance (ANOVA) F test is one of the most popular statistical tools to com...
The ANOVA F is a widely used statistic in psychological research despite its shortcomings when the a...
The ANOVA F is a widely used statistic in psychological research despite its shortcomings when the a...
Small sample properties of the method proposed by Brunner et al. (1997) for performing two-way analy...
Analysis of variance (ANOVA) is a robust test against the normality assumption, but it may be inappr...
ii Hanfeng Chen, Advisor The analysis of variance (ANOVA) is one of the most important and useful te...
Studies have shown that ANOVA F-test has a lower performance against heterogeneity of variances. It ...
Traditional analysis-of-variance (ANOVA) is based on ‘normality’ and ‘homogeneity’ assumptions. If e...
Numerous investigations have examined the effects of variance heterogeneity on the empirical probabi...
The study describes the various alternatives to the between-subjects ANOVA F test that have been per...
Researchers are commonly interested in comparing the means of independent groups when distributions ...
Valid use of the traditional independent samples ANOVA procedure requires that the population varian...
[[abstract]]The procedures of testing the equality of normal means in the conventional analysis of v...
When n replicates are available from a factorial experiment, several methods exist for testing the v...
A simulation study was conducted to examine the efficacy of conditional analysis of variance (ANOVA)...
Although the Analysis of Variance (ANOVA) F test is one of the most popular statistical tools to com...
The ANOVA F is a widely used statistic in psychological research despite its shortcomings when the a...
The ANOVA F is a widely used statistic in psychological research despite its shortcomings when the a...
Small sample properties of the method proposed by Brunner et al. (1997) for performing two-way analy...
Analysis of variance (ANOVA) is a robust test against the normality assumption, but it may be inappr...
ii Hanfeng Chen, Advisor The analysis of variance (ANOVA) is one of the most important and useful te...
Studies have shown that ANOVA F-test has a lower performance against heterogeneity of variances. It ...
Traditional analysis-of-variance (ANOVA) is based on ‘normality’ and ‘homogeneity’ assumptions. If e...
Numerous investigations have examined the effects of variance heterogeneity on the empirical probabi...
The study describes the various alternatives to the between-subjects ANOVA F test that have been per...
Researchers are commonly interested in comparing the means of independent groups when distributions ...
Valid use of the traditional independent samples ANOVA procedure requires that the population varian...
[[abstract]]The procedures of testing the equality of normal means in the conventional analysis of v...
When n replicates are available from a factorial experiment, several methods exist for testing the v...