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The Cramer’s V coefficient talks about the strength of the relationship of your variables (Laureate Education, 2016a. For example, a value of 0 shows the absent of relationship between calculated variables, while a value of 1.0 shows a strong correlation between multiple variables. In many cases, the closer you get to 1.0, the better the relationship. The Cramer’s value of 0.156 indicates the extant of relationship, which accept the null hypothesis that there is no existing relationship. Lastly, looking at the approximate statistical significant of P-value, under Symmetric Measures (SM) and Chi-Square Tests (CST), we can see a value of 0.000. This value is well below the conventional threshold value of P equal to or less than 0.05. Therefore, we can also reject the null hypothesis that there is no relationship between the two variables.
Laureate Education (Producer). (2016a). Bivariate categorical tests [Video file]. Baltimore, MD: Author.
