(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?
- Do you already have access to 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?