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Part II: Chi-Square Significance Testing (10 Points): In my dissertation, I predicted that Democrats & Republicans differed in terms of whether their families shared their

Part II: Chi-Square Significance Testing (10 Points): In my dissertation, I predicted that Democrats & Republicans differed in terms of whether their families shared their own political beliefs. To test this relationship, I collected the following data & analyzed it using a cross-tab. Please use the data below to answer the following questions:

Does Family Share Political Values? * What is your gender? Cross-tabulation

What is your party?

Total

Democrat

Republican

Does Family Share Your Political Values?

Yes

Observed Count

34

10

44

Expected Count

27

17

44

Not Sure

Observed Count

13

15

28

Expected Count

16

12

28

No

Observed Count

19

20

39

Expected Count

23

16

39

Total

Observed Count

66

45

111

Expected Count

66

45

111

What is the research hypothesis (H1)? What is the null hypothesis (H0)? (2 Points) H1:

H0:

Calculate the Chi-Square Test Statistic (5 Points)

If the critical value = 11.25, does the data indicate that you can reject the null hypothesis? Please explain to me what this means about the relationship between political affiliation & having a perception of shared family beliefs? (3 Points)

Part III - Association for Categorical Variables (4 Points): The following table lists and describes the variables used in an on-campus study of college students. Here is how each of these variables have been measured:

VARIABLE NAME DESCRIPTION OF THE VARIABLE CATEGORIES & CODING MEASUREMENT LEVEL
Class What is your class level?

1 = Freshman, 2 = Sophomore

3 = Junior, 4 = Senior

Ordinal
Gender What is your Gender? 0 = Male, 1 = Female Nominal (Dummy)
Major What is your Major?

1 = Business

2 = Education

3 = Arts & Sciences

4 = Natural Sciences

5 = Undecided

Nominal
GPA Does student have a GPA higher than 3.0?

0=No, 1=Yes

Nominal (Dummy)
Race What is the race of the student?

1=White

2=Black

3=Hispanic

4=Asian-American

5=Native American

6=Other

Nominal
Self-Efficacy I am fully able to be a successful college student 2=Strongly Agree, 1=Agree, 0= Not Sure, 1=Disagree, -2=Strongly Disagree Ordinal

Now, for each possible bivariate relationship listed below, please tell me which statistic would use to appropriately measure their association by circling the correct choice.

1. What statistic would you use to find the association between Race & Major?

A) Cramer's V B) Gamma C) Kendall's Tau-b

2. What statistic would you use to find the association between Class & Self-Efficacy?

A) Cramer's V B) Gamma C) Kendall's Tau-b

3. What statistic would you use to find an association between Race & GPA?

A) Cramer's V B) Gamma C) Kendall's Tau-b

4. What statistic would you use to find an association between Gender & GPA?

A) Cramer's V B) Gamma C) Kendall's Tau-b

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