Data Analysis
For the data analysis project, you address some questions that interest you with the methodologies we learned. You choose the question; you decide how to collect data; you do the analyses. The questions can address almost any topic, including topics in economics, psychology, sociology, natural science, medicine, public policy, sports, law, etc.
The project requires you to synthesize all the material from the course. Hence, it’s one of the best ways to solidify your understanding of computational methods. Plus, you get answers to issues that pique your intellectual curiosity.
The project should address the following six points:
1- Statement of the problem: Write a page paper – Describe the questions you address and any key issues surrounding the questions.
2- Data collection: Explain how you collect data. Include any questions you asked.
3- Analyses: Write a page paper – Describe the analyses you did. Be ready to explain why you believe these methods are justified.
4- Results: Present relevant methods. Include tables or graphs that support your analyses.
5- Conclusions: Answer your question of interest.
6- Discussion: What implications do your results have? What could be done to improve the study if it was done again? What types of biases might exist?
