2019SP_SOCI3312_001_Syllabus_DeArman_Leslie-1.docx

2019SP_SOCI3312_001_Syllabus_DeArman_Leslie-1.docx - SOCI...

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SOCI 3312 Database Methods and Analysis Spring 2019 This syllabus is subject to revision in response to class needs or circumstances as the semester progresses. I will notify you of any changes as early as possible. Course Information Course # / Section # / Class # SOCI 3312 / 001 / 2664 Time & Location TR 12:30 PM – 1:50 PM Harold Simmons Hall 101D Professor Leslie DeArman Email [email protected] Office Hours MW 9:30 AM –12:00 PM and 12:30 PM – 3:00 PM T 9:30 AM – 12:00 PM and 2:00 PM – 3:00 PM TH 9:30 AM – 12:00 PM Office Phone 214-768-4937 Office Location: Hyer Hall Room 306B Course Description and Goals: This course is a general introduction to social science research methods with an emphasis on quantitative data analysis. We will first briefly cover the fundamentals of social science research including the research process, research design, various research methods, the collection and analysis of data, and research ethics. After establishing these ‘basics’ of social science research, the course will focus heavily on the specific research method of secondary quantitative data analysis utilizing primarily existing large data sets such as the U.S. Decennial Census, the American Community Survey (ACS), the General Social Survey (GSS), data from the Pew Research Center, the UN (United Nations), the World Bank, the CIA World Fact Book, the Organisation for Economic Cooperation and Development (OECD), etc. as it pertains to our specific sociological inquiries. For the purposes of quantitative data analysis, we will use Microsoft Excel (including Data Analysis Toolpak), Survey Documentation Analysis (SDA), and SPSS in order to offer a variety of data analysis functionality. Additionally, you will become Microsoft Excel Certified during the semester. Social science research is a craft, and like any other craft, it takes practice to do it well. Therefore, our approach will be hands-on. You will have opportunities to learn by doing in the course—in class meetings, in class labs, and out-of-class assignments. By the end of the course, you should be able to: 1. Be conversant in the fundamentals of social science research. 2. Be conversant with basic statistical techniques including descriptive statistics as well as inferential statistics. 3. Formulate good research questions and design appropriate research. 4. Construct hypotheses testable with real data.
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5. Locate, retrieve, code, enter, and manipulate quantitative data using computer-based skills. 6. Analyze and interpret quantitative data using various computer-based skills. 2012/2016 UC Student Learning Outcomes Information Literacy (IL): 1. Students will be able to select and use the appropriate research methods and search tools for needed information. 2. Students will be able to evaluate sources for quality of information for a given information need.
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