Markdown files with all of the code used to clean the data and generate results.

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

Instructions The purpose of this assignment is to press you to consolidate and use all of the skills that we have learned over this semester. You must deliver a five-minute presentation, an up to five-page professional report, and associated Markdown files. 

Using the General Social Survey data extract in the file GSS18.txt, generate an analysis that explain some difference between the demographic, psychographic, or behavioral groups that is captured in the data. You can choose the outcome variable, the focal predictor, and the controls. The only rules is that it test a relationship that is interesting or useful, and that your analysis deliver descriptive/inferential statistics and regression model(s) that illustrate it. 

Questions to address: 

(1) Which outcome did you choose to study? Why is it interesting or relevant?

(2) What predictor is the focus of your study? Why?

(3) Which controls are you considering? Why?

(4) Univariate and bivariate statistics of important variables (at least one visualization)

(5) Regression results

(6) Findings 

Submission Guidelines

You must submit: 

(1) a five-minute verbal presentation,

(2) an up to five page report, and

(3) Markdown files with all of the code used to clean the data and generate results. 

Your submissions should: 

(1) introduces the relationship that you are examining,

(2) provide an exposition of the univariate and bivariate statistics used in your regression model,

(3) include at least one visualization

(4) the results of at least one regressions model. 

Grading Your submission will be graded on students' demonstrated ability to : 

(1) Choose and correctly implement the most appropriate wrangling and analytical operations learned during this semester,

(2) Introduce and convey research findings in a way that looks highly-professional and well-written

(3) Generate a data visualization that is compelling and conforms to the standards of good visualization

(4) Generate and explain a regression model that renders a rigorous and well-controlled look at the phenomenon being studied. 

Tips: 

• Read the codebook to find variables and controls that are interesting. Some of the variables might not be present in this year's extract, so double-check that the variables you want are present in the set.

• Clean the data you need, not all the data

• Knit your document to Word, and then make the written report look good on Word

• If you are using complex survey methods, diagnose the regression using regular OLS and then report the results generated by specialty methods

• Verbal presentations are likely better-received if supplemented by PowerPoint

• Hide your coding and raw output in your written report and PowerPoint 

Attachments:

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