1. MULTIVARIATE CONTINGENCY TABLE ASSIGNMENTASSIGNMENT
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The Affirmative Action and Women’s Gender Studies leadership committees have decided to explore the links, if any, between attitudes toward gender equity (Y), sex (X), and university division (Z). All variables are dichotomized to simplify the data analysis.
Using the attached trivariate data distributions, your tasks are to:
1. Create a marginal or zero-order bivariate 2 X 2 table for ERA attitude (Y) and Sex (X).
a. Using epsilon, is there an association
between X & Y?
b. Using chi square, is there a statistically significant relationship between Y & X?
2. Create a marginal or zero-order bivariate 2 X 2 table for ERA attitude (Y) and University Division (X).
b. Using chi square, is there a statistically significant relationship between Y & X?
MULTIVARIATE CONTINGENCY TABLE ASSIGNMENTASSIGNMENT

2. a. Using epsilon, is there an association
between X & Y?
b. Using chi square and Q, is there a statistically significant relationship between Y & X?
2. Create a marginal or zero-order bivariate 2 X table for ERA attitude (Y) and University Division (Z).
b. Using chi square and Q, is there a statistically significant relationship between Y & X?

3. 3. Create a marginal or zero-order. bivariate 2 X 2
3. Create a marginal or zero-order bivariate 2 X table for University Division (Z) and Sex (X).
a. Using epsilon, is there an association
between X & Y?
b. Using chi square and Q, is there a statistically significant relationship between Y & X?
4. Create two first-order partial bivariate 2 X 2 tables:
a. ERA attitude (Y) and Sex (X) controlling for University Division (Z).
NOTE: You will have one table for undergraduates and one for graduates.

4. a. Using epsilon, is there an association between X & Y?
b. Using chi square and Q, is there a statistically significant relationship between Y & X?
Using Lazarsfeld’s Accounting Formula what will you convey to the Affirmative Action and Women’s Gender Studies leadership committees?
(Hint: How do you account for these outcomes?)