Reference no: EM132085699

Data Analysis Blog Exercise

Choose your data this time(expert) and interpret the findings in non-technical terms. Below are the steps you should take to produce your write-up. You should submit only the final write-up,
For example

1. : Hypothesis

Begin with a hypothesis. Think about what interests you, an observation you have about the world. Then formulate a hypothesis. Your hypothesis should include a dependent and an independent variable of interest.

Example:

I've observed that voters are in general more likely to have a college education than the general public. I'd like to test the hypothesis that in 2016, college-educated voters were more likely to vote, all else being equal.

2. Operationalization, Variables, Hypothesis:

Data & Variables:

- Find data to test your hypothesis.
- Manipulate the variables as needed (don't forget to save your code in your do-file).
- Define and describe your variables (no need to include in final write-up, but you may include this in an Appendix).

Here, I will use the ANES 2016 pilot study. I generated new variables on age, education, race, marital status and the likelihood of voting in the 2016 election.

I will also use the ANES 2012 study (you don't need to use two datasets). This is for the purpose of comparing voters from one presidential election year to the next.

3. Descriptive Statistics (optional):

- You may want to obtain descriptive statistics of your variables and note any interesting patterns.

4. Statistical Analysis: Cross tabulation and Regression Analysis:

- Run some cross-tabs to explore relationship between variables. (Optional but a good idea, especially in writings for broad audiences).
- Run regressions (bivariate and/or multiple regression).

5. Final Write-up
- Write up your findings in technical terms. For example, "findings are consistent with the hypothesis and significant at the 5% level." (You do not need to submit this).

- Next, translate findings in terms understandable to broad audiences. Note this does not mean you are writing for non-educated audiences. Instead, you are writing for non-specialists. This skill is helpful both in academia and outside of it. Academics often need to translate findings for researchers in diverse fields. Non-academics often need to communicate findings to policy makers, attorneys, business persons etc., or the general public.

Attachment:- Exercise.rar