TEAM G: Spatial and analytic study of student housing at CMU Shannon Lauricella Sam Lavery Ariel Liu Terra Mack Alejandra Munoz. GENERAL COMMENTS: * Please remember that as part of your project I want you to analyize the data you got from the registrar as a (stratified) sample of all students living off campus. * post-stratification, and post-stratification weights, within these two strata may matter a lot, in order to make the registrar's records more representative of the full population of off-campus students. See suggestions at the end of the "post-stratification challenges" handout on post-stratifying within pre-strata. * I'm very interested in the geo-coding and other spatial analyses you propose (slide 11) * It would be useful to hear more about the variables you collected or computed from the registrar's records and/or the geocoding. I think you can just make that come out naturally as you describe results in the next presentation, draft & final papers. I'm not scoring the individual categories below since I'll just give you all 100's for the presentation. GRADING SCHEME FOR PRESENTATIONS Introduction: /10 What’s it about? Research Question & Motivation Questionnaire, or at least a couple sample questions from it Body: /50 Describe the work you have done so far How sample was selected... Any advice for future 303 students? How survey was set up and respondents contacted Glitches? How did you fix ‘em? What is the nonresponse or refusal rate so far? How will you decrease it? What are the distinguishing features of nonresponders/refusers? Successes? Tell us. Conclusion: /10 Future work – what’s left to do? When will you / did you cut off data collection? What post-processing and/or analyses will you perform? (nonresponse, poststratification, answering your research questions, etc.) Anything else? Individuals: /30 Know what you're talking about. Sound practiced, not rushed. At least 2 real slides per person Each person will get a score which is the sum of the above (so, 70 pts from group preparation of slides, 30 pts for individual presentation), except that un-excused no-shows will get 0. Shannon Lauricella Sam Lavery Ariel Liu Terra Mack Alejandra Munoz.