Cross-sectional Data

Please provide a thorough response to each of the following questions. Please write in complete sentences and submit your responses as a Word document or PDF. You do not need to combine your responses into a single essay; instead, please answer each question separately (in order) with the question number you are responding to clearly labeled in your document.   1.Propose and clearly state a research question pertaining to some aspect of the social world. Your question should be original – please do not use one that has already been used in the textbook or in class.   2.Think more about the research question you have posed. Can the question feasibly be studied? Would the answer to your research question be important for social and/or scientific reasons? Explain and justify your responses.   3.What kind of research would be needed to answer the research question you posed above—descriptive, exploratory, explanatory, evaluative, or some combination of these? Explain why.   4.Do you think that your research question could be answered using cross-sectional data? Or would it require longitudinal data? Explain your answer.   5.What would be the unit of analysis for a study designed to answer your research question? How does this choice of the unit of analysis limit the conclusions that could be drawn from the study?   Expectation: In order to thoroughly and adequately respond to these questions, I anticipate that the completed assignment should be about 1-2 pages double-spaced. Written assignments are worth 20% of your final grade, and this is the first of three assignments. Each assignment will count for 10% and your lowest assignment grade will be dropped at the end of the semester. A well-done assignment will feature clearly written, justified, and thorough answers that demonstrate an understanding of material covered in readings, lectures, discussions, and in-class activities. Grammatical and spelling errors take away from the clarity of your writing – so please proofread your responses before submitting them. All work must be original and in accordance with academic integrity standards. If you quote or paraphrase from work that is not your own, you must clearly cite and acknowledge that work using any standard reference format (MLA, Chicago, etc.).

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Cross-sectional Data
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