Students are expected to perform (and write up the results for) a data analysis using state-of-the-art analytical methods. The write-up will loosely take the format of a scientific paper to be submitted to a professional journal. However, because of the nature of this course, the most important pieces of the write-up are the methods and results sections. Nonetheless, I expect at least a few paragraphs introducing the topic and why it’s important, and a few paragraphs discussing the implications of the results. The methods and results section can (and in many cases should) be much longer than you typically see in a scientific paper- don’t feel constrained by space for these sections! Not that you need to be wordy, I just want to make sure you have the space to clearly explain the analyses you performed and why you made the choices you did!
Here is a more detailed description of expectations for the final group project:
Introduction: Provide enough description so that the reader understands why the research is important and what research question(s) and/or hypotheses are being addressed. The importance and novelty of the research should be clear after reading this section, and the reader should be able to identify (1) the study system, (2) the intellectual context (what previous work and conceptual frameworks motivated the study?), (3) the current knowledge limits that your study addresses, and (4) one or more testable research questions (at least 3 paragraphs). The research questions/hypotheses should be presented at the end of the Introduction.
Methods:
Results: Present all relevant results completely and concisely. Wherever possible, results should be presented via figures and tables. There is a limit of 8 figures/tables, so choose carefully which figures and tables to present. Figures should be publication quality. If possible, please include R code for generating your figures as part of your supplemental code.
Discussion: Write at least three paragraphs that put the results in a larger context (returning to the research questions/hypotheses) and discuss areas of uncertainty. Potential topics are possible violations of assumptions, and future work that your analysis suggests would be profitable.
Acknowledgements Please acknowledge those who collected the data, assisted with obtaining data, analyzing data, etc.
Literature cited (of course, no explanation needed!)
Supplement Provide all code used to run the analyses (and ideally, to produce the figures/tables) presented in the paper as an R script. If possible, please also provide data files to make your analysis reproducible. GitHub link is acceptable, as is a zipped file with code and any other files.
Your final project should not be part of your thesis. That said, there is no requirement that your final project is not relevant to your graduate thesis project. You will end up spending quite a bit of time on your final projects, so think about what types of analyses you want/need to get to know better- ideally something that may strengthen your thesis project.
You are not required to use a public dataset, but there are lots of great datasets out there… see links page
Please provide a 1-page project description (“proposal”). Make sure you include:
Each group will have 15 minutes allotted for group presentations, with a few minutes for questions.
A simple presentation rubric can be found here
Please provide a copy of your final presentation (e.g., PPTx file).