| NON-CIS/MCIT Paid TA position:
The Master of Science in Social Policy program in the School of Social Policy & Practice is looking for a Teaching Assistant for MSSP 897: Applied Linear Modeling in the upcoming spring semester. Qualified TAs need to understand multiple regression and know SAS software and should be doctoral students..
Course Details:
Class Time: Thursdays, 10:30 am – 1:00 pm
Lab Times: Thursdays, 1:00 – 2:00 pm and 2:00 – 3:00 pm
Instructor: Dr. Ezekiel Dixon-Roman
Course Description:
This course deals with the underlying assumptions and applications of the general linear model with social science, education, and social policy related questions/data. The first half of the course begins by covering simple linear regression and the assumptions of the general linear model, assumption diagnostics, consequences of violation, and how to correct for violated assumptions. This will also include methods of incomplete case analysis (i.e. missing data analysis). Then various aspects of regression analysis with multiple independent variables will be covered including categorical explanatory variables (e.g. to estimate group differences), interaction effects, mediating effects (e.g. to estimate the indirect effect of social processes), and non-linear effects. The course will then cover some of the applications of the general(ized) linear model including logistic regression, some elements of path modeling (structural equation modeling), multilevel analysis (hierarchical linear modeling ), and longitudinal modeling (growth modeling). The course will be taught using SAS, but students are welcome to use any statistical package of comfort. Pre-requisite: Introductory Graduate Statistics.
This is a compensated position.
Anyone interested in this position should email their CV to Laurie Jensen at lauriej@sp2.upenn.edu as soon as possible. |
