A very simple design in quantitative research involves the random allocation of a sample of N individuals to two different groups. The groups are exposed to different treatments, and the research question is whether there is any difference between the two groups on some criterion variable. Classically, this question is addressed using Student’s t test for independent groups or the equivalent one-way between-subjects analysis of variance. However, this procedure assumes that the criterion variable in question (a) is measured on an interval or ratio scale, (b) is normally distributed, and (c) has the same variance in both of the groups. The median test was devised for use in situations in which one or more of these assumptions is not met
In large sample studies where distributions may be skewed and not readily transformed to sym-metry, ...
A common design in quantitative research involves the repeated testing of participants in a number o...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/66693/2/10.1177_036354659702500625.pd
A very(sic) design in quantitative research involves the random allocation of a sample of N individu...
One of the simplest designs in quantitative research involves the random allocation of a sample of N...
<p>Values are median <i>(interquartile range).</i></p>a)<p> Fishers exact test;</p>b)<p> Mann-Whitne...
This article investigates the performance of two-sample pseudo-median based procedure in testing dif...
The analysis of variance, when used as a technique for testing hypotheses, constitutes an effective ...
It one has a group of samples from one population and a group of samples from another population, on...
In the current study, we evaluated various robust statistical methods for comparing two independent ...
In this article, I discuss measures of effect size for two-group comparisons where data are not appr...
Bakalaura darbā tiek aplūkotas vairākas metodes mediānu vienādības pārbaudei. Mediānu atšķirībā no v...
Consider n variates drawn from n normal populations with the same variance for which an independent ...
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...
In large sample studies where distributions may be skewed and not readily transformed to sym-metry, ...
A common design in quantitative research involves the repeated testing of participants in a number o...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/66693/2/10.1177_036354659702500625.pd
A very(sic) design in quantitative research involves the random allocation of a sample of N individu...
One of the simplest designs in quantitative research involves the random allocation of a sample of N...
<p>Values are median <i>(interquartile range).</i></p>a)<p> Fishers exact test;</p>b)<p> Mann-Whitne...
This article investigates the performance of two-sample pseudo-median based procedure in testing dif...
The analysis of variance, when used as a technique for testing hypotheses, constitutes an effective ...
It one has a group of samples from one population and a group of samples from another population, on...
In the current study, we evaluated various robust statistical methods for comparing two independent ...
In this article, I discuss measures of effect size for two-group comparisons where data are not appr...
Bakalaura darbā tiek aplūkotas vairākas metodes mediānu vienādības pārbaudei. Mediānu atšķirībā no v...
Consider n variates drawn from n normal populations with the same variance for which an independent ...
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...
In large sample studies where distributions may be skewed and not readily transformed to sym-metry, ...
A common design in quantitative research involves the repeated testing of participants in a number o...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/66693/2/10.1177_036354659702500625.pd