Kruskal-Wallis H Test with SPSS | With Purpose, Prerequisites, Difference from ANOVA & Multiple Comp
- 6 Ağu 2021
- 1 dakikada okunur
The Kruskal Wallis H test is the nonparametric equivalent of the unrelated (independent) samples single-factor ANOVA test. In other words, it is used when the measurements of the dependent variable are in the range or ratio scale, but do not meet the normal distribution condition or are in the order scale, with other conditions remaining the same.
In this video, how the Kruskal-Wallis H Test is performed using SPSS, when it is used, what its main purpose is, what the prerequisites are, its difference from ANOVA, multiple comparisons and interpretation are explained in detail.
00:00 Introduction to the topic
00:24 When do we use it?
01:35 Difference from Unrelated Samples One-Way ANOVA
02:32 Example
04:38 Testing
07:28 Reading the report
13:53 Multiple comparisons
17:06 Hypothesis testing path
First of all, following the one-way ANOVA for unrelated samples will make it easier for you to understand: https://youtu.be/LE9_4sTMUk0
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