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The first partial (for males) has a chi-square value of 1.07, with p > .10 and...

The first partial (for males) has a chi-square value of 1.07, with p > .10 and a Cramer’s V of .07, with p > .10; the second partial (for females) has a chi-square value of 15.5, with p < .001 and a Cramer’s V of .56, p <.001. What do these statistics reveal about the relationships between the variables?

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Answer #1

The first partial (for males) has a chi-square value of 1.07, with p > .10 and a Cramer’s V of .07, with p > .10

Here p value is greater than 0.1 means that we do not reject null hypthesis and males are independent variable. That's why Cramer's V value is very less which shows weak association.

; the second partial (for females) has a chi-square value of 15.5, with p < .001 and a Cramer’s V of .56, p <.001.

Here p value is lesser than 0.001 means that we can reject null hypthesis and females are not independent variable. That's why Cramer's V value is very high which shows strong association.

Please revert in case of any doubt.

Please upvote. Thanks in advance

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