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Soc4002, Data Analysis Course Syllabus Page 1 Sociology 4002, Data Analysis Fall 2008 Class: 26 Anderson Hall, 10:40-11:30am, MWF Lab: 847 Gladfelter Hall, 8:40-10:30am, W; 9:40-11:30am, Th Professor Shanyang Zhao Edward Natale, TA 759 Gladfelter Hall, 204-7767 745 Gladfelter Hall, email@example.com firstname.lastname@example.org Office Hours: 1:30-4:30pm, MW Office Hours: Course Objectives This course introduces you to the logic and practice of secondary data analysis in social research. It focuses on four topics: (1) how to formulate research problems based on literature review; (2) how to turn research problems into hypotheses that are empirically testable; (3) how to test research hypotheses through statistical analysis of survey data; and (4) how to present research findings in oral as well as written form. Through hands-on practices, you will develop skills for literature review, hypothesis formulation, statistical analysis, and the presentation of research findings. Required Readings ttp://www.sagepub.com/upm-data/3119_Appx_G.pdf Materials posted on Blackboard Recommended Readings: Earl Babbie, Fred Halley, and Jeanne Zaino. 2004. Adventures in Social Research: Data Analysis Using SPSS for Windows. Thousand Oaks, CA: Pine Forge Press. James A. Davis and Tom W. Smith. 1992. The NORC General Social Survey: A User’s Guide. Newbury Park, CA: Sage. Data Set General Social Survey 2002 (http://www.icpsr.umich.edu/gss/) Attendance and Participation This class involves a lot of hands-on practices and in-class discussions. You are expected to complete assigned readings and lab exercises before coming to class and to engage in an active exchange of ideas with fellow classmates while in class. Attendance is mandatory. Excused Soc4002, Data Analysis Course Syllabus Page 2 absences include verifiable medical reasons, family emergencies, and individual situations approved by the instructor. You must notify the instructor within 24 hours if you wish to have an absence considered excused. Missing more than 30 minutes of class counts as an absence. Assignments and Lab Exercises 1. Ten Lab Exercises 2. Two Papers 3. One PowerPoint Presentation A lab exercise will be assigned at the end of every Monday class for the first ten weeks and each exercise must be turned in at the beginning of the subsequent Monday class. No points will be given for late assignments. The first paper focuses on literature review and hypothesis formulation, and the second paper builds on the first one, adding the results of data analysis. In addition, each student is required to give a 5-minute PowerPoint presentation on his or her research findings to the class at the end of the semester. Grading Scheme Ten Lab Exercises: 10 points (1 point per exercise) Paper One: 30 points (due on October 13) Paper Two: 50 points (due on December 15) Presentation & Attendance: 10 points Disability Disclosure Any student who has a need for accommodation based on the impact of a disability should contact the instructor privately to discuss the specific situation as soon as possible. Contact Disability Resources and Services at 215-204-1280 in 100 Ritter Annex to coordinate reasonable accommodations for students with documented disabilities. Statement on Academic Freedom: Freedom to teach and freedom to learn are inseparable facets of academic freedom. The University has adopted a policy on Student and Faculty Academic Rights and Responsibilities (Policy # 03.70.02) which can be accessed through the following link: http://policies.temple.edu/getdoc.asp?policy_no=03.70.02. Soc4002, Data Analysis Course Syllabus Page 3 Week-by-Week Course Calendar Weeks Topics and Exercises Labs Wk 1 EXERCISE 1: create a data set from scratch - Learn about SPSS & GSS 2002 Read the article, "Do Internet users have more social ties? A call for differentiated analyses of Internet use," available at http://jcmc.indiana.edu/vol11/issue3/zhao.html (1) Analyze the structure of this article, focusing on how the different parts relate to each other (2) If you were to condense this article into three parts, what would these three parts be and why? Reading: “Introduction” 9/3: Introduction to the course 9/5: Conduct an in-class survey Wk 2 EXERCISE 2: understand the logic of data analysis - Enter the in-class survey data and create a Discuss the structure of the recommended article; learn about the data set with all the logic of data analysis; choose your own research topic variables and values fully defined Reading: “Process of Data Analysis” - Run a frequency 9/8: Structure of the sample article distribution on all the 9/10: Logic of data analysis variables & interpret 9/12: GSS 2002 topical modules and selection of research topic the results Wk 3 EXERCISE 3: choose a topical module - Construct a list of variables from a GSS Read the GSS 2002 codebook, choose a topical module, create a 2002 topical module data set containing the module plus some basic demographic variables, and run frequencies on all the variables. - Create a data set that contains these variables (1) State one research question and give one answer (hypothesis) (2) Select the variables you will use to test your hypothesis - Run frequencies and (3) Choose a statistical procedure for analyzing the variables crosstabs Reading: “Tying Concepts to Observations” - Interpret the results 9/15: Introduction to GSS 9/17: Univariate data analysis 9/19: Bivariate relationships – correlation and causation Soc4002, Data Analysis Course Syllabus Page 4 Wk 4 EXERCISE 4: conduct a literature review - Search literature using JSTOR, Sociological Locate three or more recent articles related to the topic you have Abstracts, Web of chosen, read these articles carefully and identify a few issues you Science, Google want to investigate using the data you have extracted from GSS Scholar, etc. 2002, and answer the following questions: - Read and critique (1) What is the issue that interests you and why? related literature (2) What have others said about this issue? (3) Do you agree or disagree with what has been said and why? - Run crosstabs and (4) What variables and procedures do you plan to use and why? interpret the results 9/22: Crosstabulation analysis 9/24: Literature search 9/26: Literature review Wk 5 EXERCISE 5: conduct initial bivariate analyses - Formulate research hypotheses Critique the literature, state your research problem, formulate two research hypotheses, test these hypotheses using the data you have - Conduct bivariate selected, and report your test results: analyses using cross tabulation, t test, or (1) State your research problem and explain how it is related to correlation the existing literature (2) Formulate and justify two bivariate research hypotheses (3) Report and interpret the results of your initial analyses 9/29: Strategies for issue framing 10/1: Hypothesis formulation 10/3: Requirements for paper one Wk 6 EXERCISE 6: work on paper one (due next Mondy) - Help with paper one 10/6: Evaluate the initial result 10/8: Measurement error 10/10: Operationalization issue Soc4002, Data Analysis Course Syllabus Page 5 Wk 7 EXERCISE 7: conduct significance test - Transform variables Paper One Due: 10/13 - Recode into the same or new variable Improve your initial analyses, provide a measure of association for each bivariate relationship, and conduct a significance test for - Compute variables each measure of association: - Rerun the crosstabs (1) Refine your research problem and research hypotheses (2) Add measures of association and p-values (3) Reexamine your research hypotheses 10/13: Trick of recoding 10/15: Measure of association 10/17: Logic of significance test Wk 8 EXERCISE 8: pause and reflect - Lambda/ Goodman & Kruskal’s tau Evaluate your initial analyses, propose ways to improve your - Gamma/ Kendall’s tau results, e.g., switch to a new topical module, study a different - Pearson's r research problem, use new variables, try different recodes - Chi-square test (1) Assess the successfulness of your initial analyses - t test (2) Discuss measurement issues regarding each variable - ANOVA test (3) Decide what to do next and explain why Reading: “Control and Elaboration” 10/20: Importance of the third variable 10/22: Lurking variable and suppressor 10/24: Interaction effect Wk 9 EXERCISE 9: introduce a third variable - Conduct three-way cross tabulation Use a third variable to explicate the bivariate relationships you analyses examined (assume the relationships are statistically significant) - Obtain subgroup (1) Explain the purpose of the third variable measures of association (2) Hypothesize the impact of the third variable & p-values (3) Report and discuss the results of your tri-variate analyses - Interpret the results Reading: “Index Construction” 10/27: Summary of trivariate analysis 10/29: Index construction 10/31: Dimensionality and Cronbach’s alpha Soc4002, Data Analysis Course Syllabus Page 6 Wk 10 EXERCISE 10: construct an index variable - Recode variables Seek to improve or change your results through recoding & - Construct indexes combining variables - Calculate Cronbach's (1) Examine the need to recode variables alpha (2) Examine the need to combine variables (3) Re-run the crosstabs using the modified variables (4) Report and discuss the new results 11/3: Chi-square test 11/5: T test and ANOVA 11/7: Regression Wk 11 Improve your results by using more appropriate procedures - Conduct tri-variate analyses using 11/10: Table and chart construction correlation, ANOVA, 11/12: Citation, reference and appendix & regression 11/14: Requirements for the final paper Wk 12 Construct tables, charts, and appendices - Create tables & charts using Excel 11/17: Hypothesis and literature support 11/19: Data and measurement 11/21: Results and discussion Wk 13 Learn how to present a research paper - Work on PowerPoint presentation 11/24: Introduction, conclusion, and abstract 11/26: Requirements for PowerPoint presentation 11/28: (Thanksgiving Holiday) Wk 14 Learn how to present a research paper using PowerPoint -Individual consultation 12/1: Demonstration 12/3: Question & answer 12/5: 5-minute PowerPoint presentation Wk 15 12/8: 5-minute PowerPoint presentation - no lab 12/10: 5-minute PowerPoint presentation 12/12: (Study Day) 12/15: Final paper due by 12:00pm – Hard copy only.
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