Interpret the Cramer's V
|
Symmetric Measures |
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|
Value |
Approximate Significance |
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|
Nominal by Nominal |
Phi |
.273 |
.000 |
|
Cramer's V |
.193 |
.000 |
|
|
N of Valid Cases |
1707 |
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Interpret Chi-square test
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Chi-Square Tests |
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|
Value |
df |
Asymptotic Significance (2-sided) |
|
|
Pearson Chi-Square |
127.426a |
8 |
.000 |
|
Likelihood Ratio |
132.502 |
8 |
.000 |
|
Linear-by-Linear Association |
71.150 |
1 |
.000 |
|
N of Valid Cases |
1707 |
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|
a. 2 cells (13.3%) have expected count less than 5. The minimum expected count is 1.86. |
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chi square test statistic is significant because obtained test statistic is 127.426 with a p value of 0.000.
Cramer's V is 0.193, which is between the moderate range of effect size.
So, we can interpret the given cramer's V as "the relationship between the given variables has a moderate strength and 19.3 percent of variation can be explained by the association between variables".
Interpret the Cramer's V Symmetric Measures Value Approximate Significance Nominal by Nominal Phi .273 .000 Cramer's...