The present study extends the previous one-way ANOVA multiple-comparison findings of Meyers and Beretvas (2003) to interaction comparisons in factorial ANOVA designs, one-factor MANOVA comparisons, and tests of partial regression coefficients in multiple regression, in specific regard to the practical utility of modified (sequential) Scheffe-based procedures. Researchers who are concerned with maintaining familywise Type I error rates while increasing statistical power are encouraged to consider these improved multiple-comparison methods
A simple rationale for Scheffé’s Method and Gabriel’s Simultane-ous Test Procedure is pre...
In response to the need of dealing with high dimensional data, new multiple testing procedures (MTP...
Research on multiple comparison during the past 50 years or so has focused mainly on the comparison ...
Abstract In statistics, multiple comparison or multiple testing problems arise when there are a set ...
J. Barnette and J. McLean (1996) proposed a method of controlling Type I error in pairwise multiple ...
A Monte Carlo study was conducted using the Statistical Analysis System IML computer program to comp...
Empirical .05 and .01 rates of Type I error were compared for the Tukey and Scheffé multiple compari...
The primary purpose of the present study was to investigate empirically the effect of multiple hypot...
Key words: stepwise multiple comparisons, approximate degrees of freedom statistics, Duncan's m...
Multiple comparison problems arise when a set of inferences are considered simultaneously. When a se...
Many psychologists do not realize that exploratory use of the popular multiway analysis of variance ...
Type I errors are a common problem in factorial ANOVA and ANOVA based analyses. Despite decades of l...
Many psychologists do not realize that exploratory use of the popular multiway analysis of variance ...
Researchers frequently encounter studies that compare two groups on many variables. We discourage th...
The problem of pairwise comparisons of three normal means in the balanced one-way fixed effects anov...
A simple rationale for Scheffé’s Method and Gabriel’s Simultane-ous Test Procedure is pre...
In response to the need of dealing with high dimensional data, new multiple testing procedures (MTP...
Research on multiple comparison during the past 50 years or so has focused mainly on the comparison ...
Abstract In statistics, multiple comparison or multiple testing problems arise when there are a set ...
J. Barnette and J. McLean (1996) proposed a method of controlling Type I error in pairwise multiple ...
A Monte Carlo study was conducted using the Statistical Analysis System IML computer program to comp...
Empirical .05 and .01 rates of Type I error were compared for the Tukey and Scheffé multiple compari...
The primary purpose of the present study was to investigate empirically the effect of multiple hypot...
Key words: stepwise multiple comparisons, approximate degrees of freedom statistics, Duncan's m...
Multiple comparison problems arise when a set of inferences are considered simultaneously. When a se...
Many psychologists do not realize that exploratory use of the popular multiway analysis of variance ...
Type I errors are a common problem in factorial ANOVA and ANOVA based analyses. Despite decades of l...
Many psychologists do not realize that exploratory use of the popular multiway analysis of variance ...
Researchers frequently encounter studies that compare two groups on many variables. We discourage th...
The problem of pairwise comparisons of three normal means in the balanced one-way fixed effects anov...
A simple rationale for Scheffé’s Method and Gabriel’s Simultane-ous Test Procedure is pre...
In response to the need of dealing with high dimensional data, new multiple testing procedures (MTP...
Research on multiple comparison during the past 50 years or so has focused mainly on the comparison ...