This homework will test your ability to prepare cross-tabulations, and bivariate graphics, and test for statistical association and significance. You will need to put this all together and interpret your results. For this assignment, you should have a cover page and begin each question on a new page. There are 4 relationships to analyze—each worth 25%.
For each of the following relationships listed below:
a) 3 points - Write both a research and a null hypothesis.
b) 6 points - Write a paragraph explaining your theory as to why you would expect to observe your hypothesized relationship.
c) 5 points - Prepare an appropriate cross-tabulation table that includes any relevant and only the appropriate statistics to test your hypothesis.
d) 5 points - Prepare a bar chart.
e) 6 points - Write a paragraph about the relationship that uses the inferences you can draw from looking at your table and analyzing your statistics.
Question Dataset Independent variable Dependent Variable
1) GSS 2012 marital owngun
(recode refused to missing)
2) GSS 2012 kids premarsx (reverse code premarsx)
3) World 2012 Frac_Eth3 Gender_Equal3
4)
NES 2012
pid_3
dhs_threat3
***Sample Answer Two Variable Comparisons***
a) Research and Null Hypothesis:
1. Research Hypothesis: Those in the south are more likely to identify as Republican than those not in the south.
2. Null Hypothesis: There is no relationship between whether someone lives in the south or not and party identification.
b) Theory:
1. Your theory is derived from how you expect your variables to be related and why.
2. Develop your theory prior to running tests on your relationship.
3. Your theory should be plausible and demonstrate a good understanding of both your IV and DV.
c) Crosstab with appropriate statistics (in APA format):
Party Identification By Region (South/Not South)a,b
Region
Not South South Total
Party Identification in 3 Categories Dem n 479 304 783
% 36.5% 30.8% 34.1%
Indep n 533 392 925
% 40.6% 39.8% 40.3%
Rep n 300 290 590
% 22.9% 29.4% 25.7%
Total n 1312 986 2298
% 100.0% 100.0% 100.0%
a. X2 (2) = 14.826, p = 0.001; Phi = 0.08
b. National Election Study 2012
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