Spring 2024 Quantitative Methods: Social Sciences GR5018 section 001

ADV ANALYTIC TECHNIQUES

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 41 students (90 max) as of 6:05PM Wednesday, July 24, 2024
Subject Quantitative Methods: Social Sciences
Number GR5018
Section 001
Division Graduate School of Arts and Sciences
Note PRIORITY QMSS STUDENTS
Section key 20241QMSS5018G001