Add to ORKGMultiple comparison tests are one of statistical tests that often used in amount of psychological studies. But there are too many kinds of multiple comparison tests to make proper use of the tests. In this article, we redefined multiple comparison tests for interval scale data as "tightening reduplicative t-tests". There are three lights for tightening t-tests; 1) level of significance, 2) distribution, and 3) statistic. Based on the each view many kinds of multiple comparison tests are developed. By setting information on each view for tightening t-tests before in this article, it will become possible to make proper use of multiple comparison tests
Scientists from nearly all disciplines face the problem of simultaneously evaluating many hypotheses...
Background and Objective: The propensity score method (PS) has proven to be an effective tool to red...
This paper deals with the problem of multiple inference in psychiatric research, an issue which aris...
Multiple comparison tests are one of statistical tests that often used in amount of psychological st...
perform three t-tests (with 5 % significance level) to compare all pair-wise comparisons for three g...
ECEiV£D This paper discusses four sequential multiple comparison significance tests and compares the...
Abstract In statistics, multiple comparison or multiple testing problems arise when there are a set ...
Key words: stepwise multiple comparisons, approximate degrees of freedom statistics, Duncan's m...
Researchers frequently encounter studies that compare two groups on many variables. We discourage th...
Research was conducted to provide educational researchers with a choice of pairwise multiple compari...
This thesis searches for the best tests of treatment effect for matching with multiple controls in w...
The multiplicity problem arises when several inferences are considered simulta-neously as a group. I...
The context for discussing multiple comparisons is statistical hypothesis testing and p values, whic...
This book focuses on all-pairwise multiple comparisons of means in multi-sample models, introducing ...
[[abstract]]When the homogeneity hypothesis of treatment means under heteroscedasticity is rejected,...
Scientists from nearly all disciplines face the problem of simultaneously evaluating many hypotheses...
Background and Objective: The propensity score method (PS) has proven to be an effective tool to red...
This paper deals with the problem of multiple inference in psychiatric research, an issue which aris...
Multiple comparison tests are one of statistical tests that often used in amount of psychological st...
perform three t-tests (with 5 % significance level) to compare all pair-wise comparisons for three g...
ECEiV£D This paper discusses four sequential multiple comparison significance tests and compares the...
Abstract In statistics, multiple comparison or multiple testing problems arise when there are a set ...
Key words: stepwise multiple comparisons, approximate degrees of freedom statistics, Duncan's m...
Researchers frequently encounter studies that compare two groups on many variables. We discourage th...
Research was conducted to provide educational researchers with a choice of pairwise multiple compari...
This thesis searches for the best tests of treatment effect for matching with multiple controls in w...
The multiplicity problem arises when several inferences are considered simulta-neously as a group. I...
The context for discussing multiple comparisons is statistical hypothesis testing and p values, whic...
This book focuses on all-pairwise multiple comparisons of means in multi-sample models, introducing ...
[[abstract]]When the homogeneity hypothesis of treatment means under heteroscedasticity is rejected,...
Scientists from nearly all disciplines face the problem of simultaneously evaluating many hypotheses...
Background and Objective: The propensity score method (PS) has proven to be an effective tool to red...
This paper deals with the problem of multiple inference in psychiatric research, an issue which aris...