RESEARCH METHODOLOGY

METHODS OF DATA ANALYSIS

PARAMETRIC AND NON PARAMETRIC TESTS

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
What test we can used to find the differences between three or more groups from an independent-measures design?
A
Wilcoxon
B
Kruskal-Wallis
C
Mann-Whitney
D
Friedman
Explanation: 

Detailed explanation-1: -Typically, a Kruskal-Wallis H test is used when you have three or more categorical, independent groups, but it can be used for just two groups (i.e., a Mann-Whitney U test is more commonly used for two groups).

Detailed explanation-2: -There are differences in the assumptions and the hypotheses that are tested. The ANOVA (and t-test) is explicitly a test of equality of means of values. The Kruskal-Wallis (and Mann-Whitney) can be seen technically as a comparison of the mean ranks.

Detailed explanation-3: -The Kruskal–Wallis test is just the rank-sum test extended to more than two samples. Think of it informally as testing if the distributions have the same median. The chi-square (2) approximation requires five or more members per sample. Name the number of samples m (3, 4, …).

There is 1 question to complete.