S554 | 10921 | Vanwey

This is the first semester of the two-course sequence in social statistics required of graduate students in Sociology. This course takes a systematic approach to the exposition of the general linear model for continuous dependent variables; the second semester course covers nonlinear regression models for categorical and limited dependent variables. In addition to laying the theoretical foundations for future social science research, this course introduces students to the use of computerized statistical analysis using the software program Stata. Students are encouraged to think creatively about how to use statistical methods in their own research. Students meet twice each week for a 75 minute lecture on statistical fundamentals, theory, applications, and topics. Students are also required to attend two-hour lab sessions after each lecture. The labs focus on computing methods and data analysis techniques. The prerequisite for this course is at least one statistics course at the level of S250, the undergraduate course required of Sociology majors. There are no mathematics prerequisites. Students are not expected to have a background in calculus, but facility with algebra and exposure to the rudiments of statistical distribution theory and hypothesis testing is expected.