Paul D. Allison, 276 McNeil, 215-898-6717, www.ssc.upenn.edu/~allison, allison@ssc.upenn.edu

Ofc. Hours: Tues. & Thurs. 1:30-2:30

TEACHING ASSISTANT:

Adair Crosley, 254A McNeil, (215) 573-8061, acrosley@ssc.upenn.edu

LECTURES: Tues. & Thurs., 12:00 - 1:30

CONTENT: This is the second semester of a two-semester sequence. It is a course on applied linear models, with an emphasis on multiple regression and its extensions, including path analysis and simultaneous equations. Students will use the SAS statistical package.

TEXTS:     1. McKee J. McClendon, Multiple Regression and Causal Analysis

        2. Paul D. Allison, Multiple Regression: A Primer

        3. Lecture notes (available at Campus Copy, 3907 Walnut).
 

RECITATIONS:  Thurs. 2-3, 4-5.  Sessions will typically include review and explanation of lecture material, explanation of difficult homework problems, and responses to students' questions on any of the course material. New material will be presented on the use of the computer.

WRITTEN ASSIGNMENTS: There will be several written assignments at irregular intervals throughout the semester. Most of these will require you to analyze a set of data using SAS.

GRADING: Final grades will be primarily determined by exam performance, with the midterm accounting for 40 percent and the final accounting for 60 percent. Poor performance on problem sets can detract from your grade, however.

PREREQUISITE: Sociology 535 or equivalent course in introductory statistics.

TENTATIVE SEQUENCE OF TOPICS: