Exercise #10



Exercise #8

Instructions:

Use the same GSS data from the last exercise. If you didn’t save the data, it is still linked to the syllabus on the web.

Part I.

1. The point of this part of the exercise it to create a 2x2 table to analyze the relationship between the respondent’s sex and whether or not they believe that birth control should be given to teenagers aged 14-16.

• Note: the variable “pillok” is not originally coded as “agree/disagree” so you will have to recode.

2. First recode the variable “pillok” into a dummy variable “pillok_r” where “1” = agree and “0” = disagree. Make sure to label the variable values in SPSS (e.g., tell SPSS that 1 = agree…).

3. Indicate which variable is the independent variable and which is the dependent variable. Also indicate the level of measurement for each variable.

4. My research hypothesis is that males are more likely than females to disapprove of giving birth control to teens. State the null hypothesis.

5. Create a 2 x 2 table in SPSS examine the relationship between sex and birth control attitudes.

• Do all of the following before you click “OK” to create the table

o Put the IV on top (columns), and the DV on the side (rows)

o Have SPSS compute the column percentages

o Also have SPSS compute χ2

o Also have SPSS compute phi

• Print out the output and attach to this assignment.

6. Are sex and birth control attitudes related in the sample of 900 cases? Write a couple sentences describing the relationship between the two variables. This should be based on your inspection of the column percentages as well as phi.

7. What is the chi-squred value? How many degrees of freedom were used in the significance test?

8. What is the “significance” value? What, exactly, does the “significance” value tell you? If you set the type II error at .05, would you reject or fail to reject the null hypothesis?

Part II

1. Pick out 2 variables that are (a) appropriate for a contingency table, and that (b) you might suspect are related to each other. List the two variables that you chose. Indicate which is the independent variable and which is the dependent variable. Also indicate the level of measurement for each variable.

2. State the research hypothesis, and the null hypothesis for the relationship between these variables.

3. In SPSS, create a contingency table to analyze this relationship (e.g., use same step by step as in Part I).

4. Are the two variables that you have chosen related in the sample of 900 cases? Write a couple sentences describing the relationship between the two variables. This should be based on your inspection of the column percentages as well as phi.

5. What is the chi-squred value? How many degrees of freedom were used in the significance test?

6. What is the “significance” value? What, exactly, does the “significance” value tell you? If you set the type II error at .05, would you reject or fail to reject the null hypothesis?

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