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Statistics and Statistical Programming (Winter 2017)
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=== Research Project === As a demonstration of your learning in this course, you will design and carry out a quantitative research project, start to finish. This means you will all: * '''Design and describe a social scientific study''' β You should all have experience doing this at least once in COM520. The study you design should involves quantitative analysis and should be something you can complete at least a first pass at over the course of this quarter. * '''Find a dataset''' β Very quickly, you should identify a dataset you will use to complete this project. For most of you, I suspect you will be engaging in secondary data analysis or a re-analysis of a previously collected dataset. * '''Engage in descriptive data analysis''' β Use R to create descriptive statistics and visualization to describe your data. * '''Test a hypotheses about relationships between two or more variables''' * '''Report your findings''' β I'll expect you all to report your findings in both a short paper and a short presentation. * '''Ensure replicability''' β I'll expect you all to provide code and data for your analysis in a way that makes your work replicable by other researchers. Although it's not required, I ''strongly urge each of you'' to take this opportunity to produce a document that will further your academic career outside of the class. There are many ways that this can happen but the obvious ones are that the paper is something you can submit for publication to a journal or conference, that provides primarily analysis for or acts as a pilot analysis that you can report in a grant proposal or thesis proposal, and/or that serves as part of your masters thesis or dissertation. ==== Project and Dataset Identification ==== ;Due Date: January 17 ;Maximum paper length: 500 words (~1-2 page) ;Deliverables: Turn in in Canvas Early on, I want you to identify and describe your final project. Your proposal should be short and can be either paragraphs or bullets. It should include the following things: * A one paragraph abstract of the proposed study and research question, theory, community, and/or groups you plan to study. * A short description of how the project will fit into your career trajectory. * An identification of the dataset you will use and a description of the columns or type of data it will include. If you do not currently have access to these data, explain when you will have access to the data. ==== Final Project Ouline ==== ;Outline Due Date: February 21 ;Maximum outline length: 5 pages ;Deliverables: Turn in in Canvas The outline should should have the following sections: (a) Rationale, (b) Objectives; (b.1) General Objectives; (b.2) Specific Objectives; (c) Null hypotheses; (d) Conceptual Diagram; (e) Measures; (e) Dummy Tables. An excellent example from my partner Mika Matsuzakis is [https://canvas.uw.edu/courses/1098035/files/40388318/download?wrap=1 online in Canavs]. Your diagram will likely be much less complicated than Matsuzaki's. Also, please don't be distracted by the fact that Mika does public health. It's the basic form I want you all to emulate, not the content. You can read [http://ajcn.nutrition.org/content/99/6/1450.full the published paper] to compare. The example includes everything except a "Measures" section. Your Measures section only needs to include two column table where column 1 is the name of each variable in your analysis and 2 is the specific operationalization of this measures and a description of how you will create it. ==== Final Project ==== ;Paper Due Date: March 19 ;Maximum length: 6000 words (~20 pages) ;Presentation Date: March 14 ;All Deliverables: Turn in in Canvas I'm expecting you to produce a draft of a short research paper that, after some additional work, you could consider submitting for publication. I'm also very open to the project being a part of a dissertation. I don't expect the papers to be ''publication ready'' but I do expect them to have well considered drafts of all the necessary pieces in terms of quantitative methodology. Because the emphasis in this class is on statistics and methodology and because I'm not an expert in each of your areas or fields, I'm happy to assume that your paper, proposal, or thesis chapter has already established the relevance and significance of your study and has a comprehensive literature review, well-grounded conceptual approach, and compelling reason why this research is so important. Instead of providing all of these details, feel free to start with a brief summary of the purpose and importance of this research, and an introduction of your research questions or hypotheses. If your provide more detail, that's fine, but I won't give you detailed feedback on these parts. I have a strong preference for you to write this paper individually but I'm open to the idea that you may want to work with others in the class. In terms of content: * In terms of the structure of the paper, please see the page that I've written on the [[structure of a quantitative empirical research paper]]. * In terms of the structure of your presentation, you've got some latitude but this document on [https://canvas.uw.edu/files/40848246/download?download_frd=1 Creating a Successful Scholarly Presentation] (link is in Canvas) will likely be useful.
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