| Call Number | 13144 |
|---|---|
| Day & Time Location |
F 9:10am-11:00am 310 Fayerweather |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Gregory M Eirich |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | This course is meant to train students in advanced quantitative techniques in the social sciences. Statistical computing will be carried out in R. Topics include: review of multiple/linear regression, review of logistic regression, generalized linear models, models with limited dependent variables, first differences analysis, fixed effects, random effects, lagged dependent variables, growth curve analysis, instrumental variable and two stage least squares, natural experiments, regression discontinuity, propensity score matching, multilevel models or hierarchical linear models, and text-based quantitative analysis. |
| Web Site | Vergil |
| Department | Quantitative Methods/Social Sciences |
| Enrollment | 42 students (90 max) as of 4:07PM Thursday, May 2, 2024 |
| Subject | Quantitative Methods: Social Sciences |
| Number | GR5018 |
| Section | 001 |
| Division | Graduate School of Arts and Sciences |
| Campus | Morningside |
| Note | PRIORITY QMSS STUDENTS |
| Section key | 20241QMSS5018G001 |