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Effect size for the chi-square test for independence 1.Which of the following statements are correct about the phi-coefficient? Check all that apply. a.It can be used as a measure of the significance...

Effect size for the chi-square test for independence

1.Which of the following statements are correct about the phi-coefficient? Check all that apply.

a.It can be used as a measure of the significance of a relationship between two dichotomous variables.

b.It is the same as Cramer’s V when the data are a 2 x 2 matrix.

c.It can be used as a measure of the strength of a relationship between two dichotomous variables.

d.It can be used as a measure of effect size.

e.Suppose you are looking at the relationship between gender and color preference. You wonder if there is a difference between the preferences of males and females for red and yellow. You conduct a quick survey asking different people which color they prefer. The results are shown in the 2 x 2 data matrix below:

Observed Frequencies

Color Preference

Red

Yellow

Female 53 30
Male 20 47

2. The χ² test statistic for the chi-square test for independence is 17.16. The phi-coefficient is_________ .

3.According to Cohen’s guidelines, the value for the phi-coefficient indicates ___________ effect.

4. Suppose you ask the same question of twice as many people, but the proportions remain the same. The new results are shown in the 2 x 2 data matrix below:

Observed Frequencies

Color Preference

Red

Yellow

Female 106 60
Male 40 94

5.The χ² test statistic for the chi-square test of independence would now be 34.32, and the phi-coefficient would be_________ . Thus, when we change the sample size without changing the proportions, the ______ does not change, but the __________ does.

6. Now, suppose you conduct a slightly different study. Instead of looking at the difference between the preferences of males and females for two colors, you classify your 250 respondents into four categories: male child, female child, male adult, and female adult. You also decide to look at differences in preferences for five (5) colors: red, yellow, green, blue, and purple. The χ² test statistic for the chi-square test of independence is 99.45, and Cramer’s V would be __________________ .

7. According to Cohen’s guidelines, the value for the Cramer’s V indicates ____________ effect.

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Answer #1

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