# (1) Brainstorming

It’s possible that a blue-sky project may not be realistic, but maybe there’s a subset of it that is.

• If you had no constraints, what would you like to study?
• Is data for your question available? If not, do you intend to collect your own data?

# (3) Data

• Do you know what data you would like to use? Briefly describe it below.
• What is the source of this data?
• Will you be combining data from different sources?

# (2) Research question(s)

Delete the examples and write your research question(s) here:

Examples:

• “Does CO$$_2$$ uptake differ between plant species after controlling for soil type, temperature, sunlight, water, etc.?”
• “NESARC: Is there a difference in onset age of smoking between genders after controlling for education, socioeconomic status, family history of smoking (binary), alcohol consumption, etc.?”

# (2) Analysis methods

You need to use an analysis method that we’ve learned this semester. Most of you will probably use an ANCOVA with either a continuous or binary (logistic regression) response variable. Have at least 2 categorical and 2 numeric predictor variables. I expect you to do model selection and prediction of new observations.

• What analysis methods apply for your research question for your data?

# (2) Literature review

• Have you looked at what about this question has been researched before? If so, provide a couple of citations.
• Where do you plan to search for references?
• What are some search terms you might use?