1. Write a draft of the theory, data, and model. Do not include results. However, describe and write out the model that you intend to run and how it relates to your theory. This does not bind you to running that model, but is an opportunity to clearly and concretely state what your current understanding, and give the instructors and peers an opportunity to provide constructive feedback. This should answer many of the questions of Project Assignment 1, but with more detail. This should be written as a paper, and in the same format as the final paper.

  2. Include an R markdown analysis file with additional information and analysis of your research. This should contain analysis that is more detailed than what would be included in an article. The following questions are the sorts of things that should be included in this R markdown file:

    1. Summary statistics of all variables that you are using
    2. Plots of distributions of the variables in the data
    3. Amount of missingness in each of the variables

    The purpose of this is to (1) get you used to keeping track of all your analysis in a transparent manner, and (2) to simulate the way in which most journals ask for or distribute supplemental information containing analysis that was not included in the article itself.

  3. Update README.md with a description of what is each file in your project.

  4. When you have finished, create an issue in Github titled: “Review Project Assignment 2”. In the issue message write “cc @jrnold @CasAndreu”. This is how you submit your assignment, and lets the instructors know it is ready to review.