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How to develop a research question

  1. How to develop a research question
    1. Typical workflow
    2. Case Study: Estimating Congressional Priorities
    3. Twitter scraping inspiration
    4. Workshop

Typical workflow

  1. Be curious and find a question that interests you.
  2. Try to find a way to answer your question with data. What kind of assumptions are you making when you make this leap?
  3. What are all the fields you need to answer this data-driven question?
  4. Execute scrape.
  5. Pare down data into just the information you need.
  6. Enrich the dataset with any external datasets if necessary. (If manually adding data, ensure that the time you’re prepared to invest are worth the question you’re trying to answer!)
  7. Analyze your data! Build charts to answer your original question. Were you wrong? That’s okay! That means you probably had a counter-intuitive result. What led you to have a wrong hypothesis?

Case Study: Estimating Congressional Priorities

What policy issues does Congresswoman Terri Sewell (D-AL 7th District, Princeton Class of 1986) care about? By scraping her account, we could collect all of her tweets and categorize them by issue as The Pudding did.

🏛️ Questions

  • What are some concrete takeaways from Sewell’s Twitter activity?
  • What are some interpretive takeaways from Sewell’s Twitter activity?
  • How effective would this data be in answering our original question?
  • What techniques did the Pudding use to put their data into perspective?

Twitter scraping inspiration

Workshop

🪚 Exercise: Let’s workshop on 2-3 potential research questions together.