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Spring 2019 Quantitative Methods: Social Sciences GR5018 section 001

Call Number 12081
Day & Time
F 10:10am-12:00pm
303 Hamilton Hall
Points 4
Grading Mode Standard
Approvals Required None
Instructor Gregory M Eirich
Method of Instruction Classroom
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 Graduate School of Arts and Sciences
Enrollment 31 students (40 max) as of 5:03PM Sunday, July 21, 2019
Status Full
Final Exam Day/Time
F 9:00am-12:00pm
Final Location 303 Hamilton Hall
Subject Quantitative Methods: Social Sciences
Number GR5018
Section 001
Division Graduate School of Arts and Sciences
Open To School of the Arts, Barnard, Columbia College, Engineering and Applied Science: Graduate, Graduate School of Arts and Science, General Studies, School of Professional Studies, Global Programs, International and Public Affairs, Public Health
Campus Morningside
Note QMSS MA Students Priority
Section key 20191QMSS5018G001

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SIS update 07/21/19 17:03    web update 07/21/19 17:19