Survey Analysis Assignment #3
Assignment Instructions:
Most of these directions (with pictures) can also be found at https://gssdataexplorer.norc.org/pages/show?page=gss%2Fstudent_guide
1. 1) Visit the General Social Survey (GSS) at https://gssdataexplorer.norc.org/ You will need to create an account in order to use the data on this website. You will receive an email confirming your GSS DE site registration. After you create an account and you log-in, from the Home page, select “Search GSS Variables” from the top righ-hand corner of the screen.
2. 2) From here, you can search more than 5,000 GSS variables by keyword, subject, or year. Information on each variable includes: name, description, years available, survey question, and summary statistics for the variable.
3. 3) For this project, you will choose TWO nominal and/or ordinal variables which you think are associated. You will select “Save to MyGSS” when you find the two variables that you need. Use the criteria below to select your two variables.
a. a. The first variable must be some kind of sociodemographic background variable (the name of the variable in the GSS data is in parentheses and in BOLD – these are examples and you are free to use these). Gender ( sex), race ( race), employment status ( unemp), marital status ( marital), etc. Make sure to choose a variable with only a few attributes ( 5 or fewer attributes).
b. If you are unsure if your variable is appropriate, ask your TA.
c. The second variable can be any variable which you think may be related to the first variable. Choose a variable with only a few attributes ( 5 or fewer attributes).
d. Once you’ve identified variables of interest, add them to your project cart by clicking on the orange cart symbol to the left of the variable name.
e. It doesn’t matter what two variables you choose as long as you are able to justify why you chose these two variables. Also, make sure your variables were measured in the same year (see more on this at end of document) ; otherwise, you need to choose different variables.
4) You will then use the GSS website to describe these variables and examine the relationship between these two variables. Your analysis will be written up as a report that is (approximately) between 1 and 2 pages double-spaced. In your report, include the following:
a. The relationship you chose to examine, including which two variables you chose. Your variables should be: both nominal, both ordinal, or nominal and ordinal. Which variable is your proposed independent variable, and which is your proposed dependent variable? How are these variables measured? (Clicking on the variable itself will allow you to view variable details. Tell me how the question is worded and how many choices the respondent is given.)
b. Why and how do you think these two variables are related (give directionality, using phrases like “more likely” and “less likely”). 3 extra bonus points if you cite at least at least one source from an academic (peer-reviewed article from Google Scholar) or government source (e.g., Census, Dept. of Education, Bureau of Labor Statistics, National Center for Health Statistics).
c. Clearly state the null hypothesis and the alternative hypothesis (state each one). You can do this as a part of (b) above if you want.
d. Finally, what did you find?
i. To examine the correlation between the two variables, select “Tabulations” in the green box on the right, which is right above the green box called “Extracts.” Then select “Create New Tabulation” from the dropdown menu.
i. ii. For analysis type, choose “ cross-tabulation.”
ii. iii. First, you’ll need to delete “Year” from the “Column” box by clicking the “x” at the upper-right hand corner of the box called “Column Variable.” Then, you will drag your independent variable (IV) into “Column Variable” box and drag your dependent variable (DV) into “Row Variable” box. There are three boxes towards the bottom of the page. Check the box “ exclude missing variables ” and check the box “Chi-Squared.” Then click, “Create Tabulation”– the orange box towards the end of the page.
iii. iv. After the cross-tab has computed, select “DISPLAY OPTIONS .” Select “show column percentages.” Select “0” decimals. Now you can compare the percentages in each of the columns.
iv. v. State whether, based on a .05 significance level, your p-value from the chi-square statistic indicates that you can or cannot reject the null hypothesis. Use correct language to interpret what the p-value means for your hypotheses. Remember, one never “accepts” the alternative hypothesis OR null hypothesis. We either reject the null or fail to reject the null.
v. vi. Discuss at least two findings . Remember, you’re looking at column percentages . One (hypothetical) finding of two findings total that you should provide might be: 36 percent of men reported that they struggled “a lot” balancing work and family life, compared to 65% of women .) .
vi. vii. Discuss your overall conclusion/findings (In summary, I found that…).
vii. viii. Include a picture of your cross-tabulation table with your assignment.
Logistical Instructions:
· ¬ All assignments must be typed, one to two pages double-spaced (not including works cited page), in 12 point Times New Roman or Arial font, with default or 1 inch margins.
· ¬ To receive bonus points referenced above, include a works cited page in MLA, APA, or ASA style.
· ¬ These will be submitted via TritonEd at or before 11:59pm on Saturday, May 26 in .doc, .docx, or .pdf format.
Make sure both of your variables were measured in the same year. It’s ok even if the variables were measured in the same year for only one of the years the GSS was administered (i.e., both questions were asked only in 1991). Below are screenshots of the description of two variables from the GSS website. The sociodemographic variable is marital status, and my dependent variable of interest is self-rated health. By going to the MyGSS tab, you can click on your variables to find out the “Year Availability.” In my example below, you can see that there are 6 years in which both of these questions were asked of survey respondents (i.e., 2002, 2004, 2006, 2010, 2012, 2014). Since these questions were both asked in at least one survey year, these are acceptable variables for your analysis. Remember to click on the variable name after clicking on the tab “MyGSS” where your selected variables are saved so you can obtain this information below. You need it to determine if your variables were ever measured in the same year, and you need this information to know what the variable is actually measuring (i.e., what was the survey question?). Remember, you need to describe the survey questions in your report (see 4a above).
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