This article investigates the performance of two-sample pseudo-median based procedure in testing differences between group. The procedure is a modification of the one-sample wilcoxon procedure using the pseudo-median of differences between group values as the central measure of location.The test was conducted on two groups with moderate sample sizes of symmetric distributions.The performance of the procedure was measured in terms of Type I error and power rates computed via Monte carlo methods. The performance of the procedure was compared against the t-test and Mann-Wilcoxon test.The findings from this study revealed that the pseudo-median procedure performed very well in controlling Type I error rates close to the nominal value.The pseudo...
The classical procedures of comparing two groups, such as t-test are, usually restricted with the as...
Richter and McCann (2007) presented a median-based multiple comparison procedure for assessing evide...
The process of dichotomizing the possible conclusions of an experiment and using probability theory ...
The objective of this study is to investigate the performance of two-sample pseudo-median based proc...
The objective of this study is to investigate the performance of two-sample pseudo-median based proc...
The performance of the pseudo-median based procedure is examined in terms of controlling Type I erro...
The performance of the pseudo-median based procedure is examined in terms of controlling Type I erro...
Despite the theoretical correctness of the t-test in testing differences between two groups and the ...
A very simple design in quantitative research involves the random allocation of a sample of N indivi...
The Wilcoxon-Mann-Whitney (WMW) test checks for the equality of distributions by estimating how like...
In this study, two methods of comparing the means of two samples were conducted. The first method us...
A two-sample test is studied which rejects the null hypothesis of equal population medians when two ...
The classical methods for comparing groups can be highly inefficient under the influence of non-norm...
Experimental designs using two or more treatments frequently arise in many fields of study, from med...
The classical procedures of comparing two groups, such as t-test are, usually restricted with the as...
The classical procedures of comparing two groups, such as t-test are, usually restricted with the as...
Richter and McCann (2007) presented a median-based multiple comparison procedure for assessing evide...
The process of dichotomizing the possible conclusions of an experiment and using probability theory ...
The objective of this study is to investigate the performance of two-sample pseudo-median based proc...
The objective of this study is to investigate the performance of two-sample pseudo-median based proc...
The performance of the pseudo-median based procedure is examined in terms of controlling Type I erro...
The performance of the pseudo-median based procedure is examined in terms of controlling Type I erro...
Despite the theoretical correctness of the t-test in testing differences between two groups and the ...
A very simple design in quantitative research involves the random allocation of a sample of N indivi...
The Wilcoxon-Mann-Whitney (WMW) test checks for the equality of distributions by estimating how like...
In this study, two methods of comparing the means of two samples were conducted. The first method us...
A two-sample test is studied which rejects the null hypothesis of equal population medians when two ...
The classical methods for comparing groups can be highly inefficient under the influence of non-norm...
Experimental designs using two or more treatments frequently arise in many fields of study, from med...
The classical procedures of comparing two groups, such as t-test are, usually restricted with the as...
The classical procedures of comparing two groups, such as t-test are, usually restricted with the as...
Richter and McCann (2007) presented a median-based multiple comparison procedure for assessing evide...
The process of dichotomizing the possible conclusions of an experiment and using probability theory ...