By now your work in the Sociology of Everyday Life has given you many ideas about relationships between data and variables describing social life in America. You are ready to do some research and test a hypothesis of your own choosing.
You will be using part of the General Social Survey database from 2014, which consists of questions and responses that describe social life in America. The variables you can use are found in the GSS Code Manual located on our class Moodle page, and a paper copy will be available in class.
The Statistical Package for the Social Sciences (SPSS) is a computer software package that you will use to analyze the two variables of your choice; it will give you a cross-tabulation that shows the relationship between your two variables of choice, and from this information you will create a table and produce a short summary to present to the class about the relationship between your two variables of choice.
Your task in class on Friday and Monday is to
1) understand the difference between independent and dependent variables,
2) develop a hypothesis about life in the United States using two of the GSS variables,
3) learn how to use the Statistical Package for the Social Sciences (SPSS) to produce frequency
tables for variables and produce a cross-tabulation (contingency table) between variables,
4) produce a set of tables illustrating the relationship you have found,
5) conclude with a summary of what you found
(start with a one-sentence summary, support your conclusion with specific data from the table, point out any unexpected or particularly interesting findings, and conclude with a statement that synthesizes everything you’ve done (in two or three paragraphs.)
6) Compile the full assignment which includes the literature review, and submit on Moodle on
Sept _____, by Noon. Please see grading rubric for more details (page 6 of Handout.)
As you proceed, review Chapter two in our main text (Ballantine & Roberts) paying attention to the key terms of dependent variable and independent variable, hypothesis, causality and correlations, random sample, and cross-tabulation.
after the page loads, double click on WinApps,
then Add Remove; find and double click on SPSS 26 and
then double click on WIN and double click on IBM_SPSS_STATISTICS_CLIENT_64-BIT.exe.
After it is installed, you will need to go back to the SPSS 26 folder and click on SPSS 26 Authorization Codes 2021.pdf, use this code after opening the License Authorization Wizard to enter the Authorization Code and you should be good to go.
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Group Work aspects of the GSS Research: Each student will produce his/her individual paper whose hypothesis includes a shared dependent variable but with different independent variables from other group members. In small groups, you will do data analysis in class, and then complete your research and writing outside of class to compose the final data analysis report (paper w/ GSS data tables).
Name _____________________________ Group Members: ______________________________
Dependent variables for your work may be some attitude, opinion, or behavior of Americans in 2014 (see GSS code manual).
Independent Variables for your work may be aspects of American social differentiation (race, age, gender, marital status, etc.) or aspects of American social institution participation (education, religion, income, political party identification: see GSS code manual).
I am interested in the relationship between these two variables used in the General Social Survey:
My dependent variable name: VAR: __________________________
This variable was measured by asking the following question:
My independent variable name: VAR: ____________________________
(the one influencing the dependent variable)
This variable was measured by asking the following question:
My hypothesis is: _______________________________________________________________
_______________________________________________________________________________
My Rationale is: (What is your reasoning behind your hypothesis? Is there something you learned in class, in something you’ve read, or something from your own experience that’s guiding you? Explain it here.) ___________________________________________________________________________
______________________________________________________________________________
How to Use the SPSS 26 and the GSS Data to Test Your Hypothesis
How to generate a frequency distribution:
1. Go under the Analyze menu.
2. Then go under Descriptive Statistics.
3. After that, go under Frequencies.
4. Put in the variables you wish to use by clicking them into the Variable(s) box. (Note that it’s most helpful to use variable names [“VAR” on the previous page] instead of their longer label by right-clicking and selecting “Display Variable Names.” You can also alphabetize your variable names by again right-clicking on the list of variables and selecting “Sort Alphabetically.”
5. Click OK.
How to perform a bivariate analysis:
1. Go under the Analyze menu.
2. Then go under Descriptive Statistics.
3. After that, go under Crosstabs.
4. Put the dependent variable that you want to use in the box labeled Row and the independent variable you want to use in the box labeled Column(s).
5. Click on the Cells box and select your percentages by Column(s).
6. Click Continue.
7. Click OK.
Constructing Contingency Tables (Cross-Tabulations)
1. A table should be numbered and have a heading or a title that describes what is contained in the table.
2. The original content of the variables should be clearly presented in the table itself, or in the text, with a paraphrase in the table.
3. When percentages are reported in the table, the base upon which they are computed should be indicated (i.e. the total n should be included in your “Total” row).
4. If any cases are omitted from the table because of missing data (“no answer,”: for example ) their numbers should be indicated in the table.
5. Typical format of a contingency table:
Table #: [Title of Heading for Table Contents}
INDEPENDENT VARIABLE
DEPENDENT VARIABLE (Attribute) (Attribute) Total
(Attribute) (%) (%) (%)
(Attribute) (%) (%) (%)
Total 100% = total # total # total #
Number of missing observations =
Data source and year: (GSS, 2014)
On next page, See EXAMPLE OF WHAT YOUR Data Analysis table(s) with SHOULD LOOK LIKE, WITH YOUR OWN VARIABLES AND SUMMARY SUBSITUTED FOR WHAT IS WRITTEN THERE.
Example
The hypothesis in the following analysis of General Social Survey (2014) data is that men will report higher levels of happiness than women. My rationale is that women experience higher rates of gender-based discrimination and violence, and these could translate into higher rates of unhappiness. In this analysis, the independent variable is gender and the dependent variable is level of happiness. The results of the analysis are displayed in Table 1 below.
Table 1: General Happiness by Gender:
Level of Happiness Male Female
Very Happy 30.6% 32.6%
Pretty Happy 58.4% 54.3%
Not too Happy 10.9% 13%___
Total 100% = 1218 1588
Missing = 2
GSS, 2014
Considering the data presented in Table 1, it appears that the hypothesis that women will be less happy than men is not supported by the data. About one-third of people, regardless of gender, report being “very happy” and more than half report being “pretty happy.” In fact, while not statistically significant, women are two percentage points more likely to be very happy. However, they are also two percentage points more likely to report that they are “not too happy.” Since these differences aren’t large enough to be statistically significant, the primary conclusion to be drawn from these data is that happiness levels do not vary substantially by gender. Interestingly, a large majority of both men and women report being either “pretty happy” or “very happy,” with only 11% of men and 13% of women reporting are “not too happy.”
Writing up the Data Analysis Paper using the General Social Survey (GSS)
Cover the Following points in an essay format: DUE: ______
_________________________________________________________________________________
Grading Rubric:
SOC 100: Sociology of Everyday Life Date: _______________
Dr. J. Burnside Name ________________________________________
General Social Survey (GSS) Data Analysis
Feedback Scale: Very Good (A, A-); Good (B+, B, B-); Fair, mostly satisfactory (C+, C, C-);
Unsatisfactory (D+, D, D-); Poor (F)
______________ Interesting title and introduction
______________ Definition of basic research question or problem
______________ Literature review (minimum of two articles)
_____________ Discussion =variables (w/ frequency tables) and hypotheses (bivariate table)
_____________ Analysis of research findings using the bivariate (cross-tabulations) table
______________ Conclusions and ideas for further research (uses sociological concepts and
Perspectives)
____________ Writing Mechanics: organization, grammar, punctuation, spelling, proper in-
text citations, typed 4-5 pages (includes tables) and works cited list.
_____________ Grade: ___________________________________________________________