In this Short paper/podcast 3, you will finally move from consideration of abstract causal models and variables to decide on the particular case(s), data, and measures to be used to test the hypotheses specified in Short paper/podcast 2. In other words, what quantitative data will you use to test your theoretical predictions?
First, you will need to identify and provide justification for your case selection. Which country or countries (or sub-national units, etc.) will you investigate, and why? Which level of analysis – individual-level, country-level, etc. – will you utilize?
Next, you will describe the quantitative data that you will use in your analysis. Where do the data come from? How, when, and by whom were they collected? What evidence do you have that the data are reliable? Be sure to provide a URL where the data can be found.
Finally, which indicators in the data set will you use to measure the variables specified in your hypotheses? Describe each indicator corresponding to your dependent, independent, and control/modifying variables. How is each coded/constructed? What is the range (lowest and highest values) of each variable? Is there missing data?