Assignment #10
Testing Hypotheses
with Crosstabulations
To complete this assignment, you will need to
use SPSS for Windows to analyze the data from the 2006 General Social Survey. (SPSS
is available in Anspach 251, at the Woldt computer lab, and in the library.) The data for the assignment are in the file
GSS2006.sav.
- 1. Create Table 1--the percentagized crosstabulation to test
the research hypothesis: Men are more likely than women to earn high
incomes. Use the variable named RINCOM06 which is Respondent's Income. You will need to recode
this variable into two categories--$1 to 29,999 and $30,000 and above.
Make sure that your title is complete, the rows and columns are labeled, and that the source is included.
(See TABLES on course web page for examples.)
- 2. Present the chi-square statistic to determine whether the
relationship is statistically significant.
- 3. Summarize the percentages in Table 1 in words, discussing the substance of
what you learn from this analysis.
- 4. Summarize what you learn from the chi-square statistic
associated with Table 1. Is the chi-square statistically significant?
Is there a relationship between income and sex (or are the variables independent)?
Is the hypothesis supported?
- 5. Introduce a control variable that allows you to elaborate on
the
relationship you discussed in Table 1. Explain why you think that
your control variable should be entered into your model?
[Sometimes a diagram helps.]
- 6. Create Table 2 which is the
multivariate crosstabulation to test the model you discussed in Question
#5.
- 7. Present the chi-square statistics needed to test
whether there is a relationship (or independence) between your dependent
variable and your independent variable in each of your partial tables.
- 8. Summarize Table 2 in words, discussing the
substance of what you learn from EACH of the partial tables. Focus on
the appropriate percentages in each of your partial tables.
- 9. Summarize what you learn from each of the
chi-square statistics associated with Table 2. Is EACH of the
chi-square statistics statistically significant? Does there continue
to be a relationship between income and sex in each of your partial tables?
- 1110. In what ways are your conclusions about
the relationship between your dependent variable and your independent
variable at the end of Question #9 similar to or different from your conclusions about your variables at the end of
Question #4?
This assignment is due on Monday, November 30.