Suppose that you are trying to produce empirical evidence that a policy discriminates against a particular group. Or suppose that you have been asked to demonstrate the prevalence of violence in one prison compared to others. Or maybe you are investigating whether a firm's unusually strong stock performance can be traced back to a potentially illegal act. All of these tasks would require you to collect, organize, and analyze quantitative data. Numbers. Even if you or your organization have the resources to hire an expert, its important for you to have the best possible understanding as to what the expert has done and what they have produced. In this guide, we will work through some of the basic choices you will need to make in terms of what software to use and what your data needs to look like before you can execute your analysis.
Note: If you are consulting this guide for assistance in understanding the contents of a regression you've encountered in a journal article or presentation, skip to the "Regression Results in Papers" page and refer back to earlier sections as needed.
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