COURSE PROJECT --------------- ---------- > `By Oct 18th:` Consultation Meeting with Instructor * **Book on the [appointment manager][1]:** + only for one 30 min block + no request form needed + mentor not needed * **Which kind of data?** + longitudinal or clustered * **What is your dependent variable?** + Continuous/normal: LMM + Skewed, categorical, count, ect.: GEE or GzLMM * **What are your independent variables?** + level 1 vs. level 2 + fixed vs. random + center or not to center + how to treat time (if applicable) * **What are the focal hypotheses/research questions?** ---------- > `Hand over by Nov 16th:` Exchange YOUR draft to a classmate * **[Set up your own OSF account][2]** + Let me know when you do so, so I can add you, too * **Create a new project** + Store or link your files to your project *(if able)* + Link your project to this project * **Write your report as a R notebook** + do NOT include all your code *(echo=FALSE)* + DO include your tables and figures + DO include references ---------- > `Return it back by Nov 28th:` Review a classmate's draft * **Use the OSF project for version control** + OSF will keep track of changes between you and your collaborator/reviewer * **Give useful feedback** + focus on clarity of the results & methods sections * **You will complete a rating** + Canvas quiz given on your experience, both as a reviewer and regarding the feedback you were given ---------- > `Dec 5th & 7th:` In-class Presentations * **Attendance is MANDATORY for ALL presentations!** * **5-10 minutes long** + Define Research Question (source of data) + Describe variables (table 1) + Modeling method used: LMM, GEE, GLMM + State software: R package/function used + What worked + Issues that came up + Two+ plots *(raw & model)* * **Address audience questions** ---------- > `By Dec 13th:` Written Report *--Hand in via Canvas* * **3-30 pages long** + Printable format: html, pdf, word * **Brief Background** + Define Research Question (data) + Describe variables (table 1) + Visualize raw data (spaghetti plot) * **Methods Section** + Method used: LMM, GEE, GLMM + State software: package/function + Decisions made - subjective + Determining ‘best’ model (how) + Compare various models (same?) + Complications and issues (resolve?) * **Results** (final model) + table of model parameters + Visualization plot + Narrative/meaning * **Conclusion** + What you learned? ---------- > `Welcome Holiday Break!` [1]: https://cehsam.usu.edu/amonline/default.aspx?C=C&T=P&P=149&Hide=P&AZBar=N&CBHide=Y [2]: https://osf.io/