The University of Texas at Austin, School of Social WorkData Analysis and Computers IICourse Description:Course Objectives:Teaching Methods:Required and Recommended Texts and MaterialsThe University of Texas at Austin provides upon request appropriate academic accommodations for qualified students with disabilities. For more information, contact the Office of the Dean of Students at 471-6259, 471-4641 TTY.Course Assignments:Assistance Outside of Class:In addition to posting requests on the bulletin board, you may request help via personal email, which I check several times during a typical workday and generally once a day on weekends. Usually you may anticipate a response within 24 hours or less. My eCourse Schedule:Jeffrey A. Will, "The Dimensions of Poverty: Public Perceptions of the Deserving Poor." Social Science Research, 22, 312-332(1993).Exam on Multiple RegressionChapter 5, Multiple Discriminant Analysis and LogChapter 5, Multiple Discriminant Analysis and LogSusan Welch and Lee Sigelman, "Changes in Public Attitudes toward Women in Politics." Social Science Quarterly, Volume 63, No. 2, June 1982, pages 312-322.Theodore J. Eismeier, "Public Preferences About Government Spending: Partisan, Social, and Attitudinal Sources of Policy Differences." Political Behavior, Volume 4, No. 2, 1982, 133-145.Chapter 5, Multiple Discriminant Analysis and LogMarija J. Norusis/SPSS Inc., SPSS Professional Statistics 7.5, "Chapter 8. Logistic Regression Examples." Pages 37-64. We will work this problem in Exercise 2.Nancy Morrow-Howell and Enola K. Proctor, "The Use of Logistic Regression in Social Work Research." In David F. Gillespie and Charles Glisson, Eds., Quantitative Methods in Social Work: State of the Art. New York: The Haworth Press, Inc., 1992. Pages 87-Chapter 5, Multiple Discriminant Analysis and LogSandra L. Hanson and Douglas M. Sloane, "Young Children and Job Satisfaction." Journal of Marriage and the Family, 54 (November, 1992), 799-811.David W. Hosmer and Stanley Lemeshow, Applied LogChapter 9, Multinomial Logistic Regression ExamplDavid W. Hosmer and Stanley Lemeshow, Applied LogChapter 9, Multinomial Logistic Regression ExamplFinal ExamThe University of Texas at Austin, School of Social Work Data Analysis and Computers II Course Number: SW 388R7 Faculty: Jim Schwab Unique Number: 62065 Office Number: SSW 3.106B Semester: Spring 2003 Office Phone: 471-9816 Time: Wednesday: 2:30 pm to 5:30 pm Email: [email protected] Place: SSW 1.214 (Instructional Technology Classroom) Office Hours: Wednesday, 1 pm to 2pm, and by appointment Web Site: http://webct.cc.utexas.edu/public/SW388R7_62065_Spring_2003/ Course Description: This course is designed to build upon the concepts and procedures introduced in Data Analysis and Computers I, to enable students to do a more thorough job of data analysis by introducing multivariate statistical procedures into their repertoire of statistical techniques. The primary focus is on using the SPSS statistical package for calculating multivariate statistics and the utilization of the statistical output in research findings. Course Objectives: 1. To understand how the analysis of data derives from the statement of a research problem or hypothesis and the availability of empirical data . 2. To understand how to conduct a variety of statistical analyses, including testing of statistical assumptions, data transformations, and validation of statistical findings. 3. To understand how to present and interpret the results of statistical analyses. 4. To be able to design a data analysis strategy that answers a research question or hypothesis, including specifications for data elements, requirements of the statistic, and limitations to the interpretation. Teaching Methods: Course content will be covered using class lecture, focused discussions, computer demonstrations, and regular homework assignments involving data analysis exercises and computer applications. Students are expected to ask questions, share experiences, and actively participate in class discussions. While most statistical calculation will be done on the computer, some hand calculation is inherent in statistical analysis. Pocket calculators or Microsoft Excel can be used for to compute these calculations. 1The analysis of data occurs in the context of specific research questions and hypotheses derived from existing research and practice knowledge bases. To provide this context to our learning, we will replicate the data analyses for a variety of research articles published in behavioral science journals, as well as sample problems from a variety of textbooks. The research articles that we will use have all utilized data from sources such as the General Social Survey (GSS) conducted by the National Opinion Research Center and available to us through the Internet. We will rely upon articles that provide us with enough detail to replicate the author's data set to a reasonable degree so that we may conduct statistical analyses parallel to those conducted by the researcher. In addition to providing a context for our analysis, this strategy will provide us with a wealth of pragmatic examples of how researchers conduct, present, and interpret their statistical analyses. Course Website: We will use a software package called WebCT to coordinate course activities. WebCT allows you to access notes, computer applications exercises, course data sets, and homework and exams online. You can also communicate with the instructor or other students in the course through an online bulletin board. A handout on the use of WebCT will be provided in the first class meeting. Required and Recommended Texts and Materials The required text for the course is: • Hair, Joseph F., Jr; Anderson, Rolph E.; Tatham, Ronald L.; and Black, William C. Multivariate Data Analysis, Fifth Edition. Englewood Cliffs, New Jersey: Prentice Hall. In addition, you will need access to a recent version of SPSS on a PC computer and access to the Internet using either Internet Explorer or Netscape browser. If you do not have a personal computer, the necessary hardware and software are available in the LRC computer lab in the School of Social Work. The exercises for analyzing data are were developed using the WebCT course tools. Complete directions for conducting the data analyses are found in the WebCT class materials web pages. The research articles whose data analyses we will replicate will be placed