You are now going to create and post a crosstab of your variables and a measu

 
You are now going to create and post a crosstab of your variables and a measures of association table. 
Complete the following steps:
Post a  brief explanation of your topic. Include your research question and a  broad research hypothesis — that is, the relationship of IV to DV. (For  example, educational attainment affects family income in US adults.)
Run a  crosstab on your variables.  Be sure to explain your findings, including  a description of the table, a calculation of the epsilons, and a  discussion of the 10% rule.
Run the  correct measure of association for your variables (Choose one – either  Pearson R, Gamma, Phi, Cramer’s V or Lambda). Explain what the output  means in terms of strength and direction of the relationship. Interpret  Proportional Reduction of Error (PRE) using the following statement:  Knowing the IV will reduce error in predicting the DV by *%.   
Copy the  crosstab and measure of association table into the discussion window or  into a document (PDF, MS Word) and attach to discussion. If your table  does not fit to the page, choose “copy special” and then “images” or  take a screen shot of the table to copy/past into the window.
Special note: 
When a  variable is continuous (interval/ratio level of measurement), for  example age of respondent, we do not run crosstabs directly because it  will result in a really spread-out table with lots of zeros and low  frequency cells. Such a crosstab does not help us understand the data.  The correct way is to reduce the level of measurement to either ordinal  level or nominal level (group the numbers into categories) by recoding  and then run the crosstab. (Please refer to the Lesson Recoding in SPSS for further information.)
As a reminder, here are the guidelines for choosing your measure of association:
Both DV and IV are nominal variables: Lambda (when it is not a 2X2 table)
Both DV and IV are nominal variables and it is a 2X2 table: Phi
Both DV and IV are ordinal variables: Gamma
One variable ordinal or interval/ratio AND the other variable dichotomous nominal (like Yes/No, male/female, etc.): Gamma
One variable ordinal or interval/ratio AND the other variable nominal (not dichotomous, has more than 2 categories): Cramer’s V.
Both DV and IV are I/R variables: Pearson’s r