Quant Data Analysis II

Instructor:
Rachel Lautenschlager
781
Credits:
3.0
001
Building:
Patterson Office Tower
Room:
Rm.1506
Semester:
Spring 2025
Start Date:
End Date:
Name:
Quant Data Analysis II
Requisites:

Prereq: SOC 681, PS 572 or consent of the instructor.

Class Type:
SEM
2:00 pm
4:30 pm
Days:
M

This intermediate statistics course emphasizes the fundamentals of multivariate regression. The goal is to develop a foundational toolkit to model a variety of dependent variables. The course will teach students how to make decisions about how to model data, how to estimate equations, and how to solve common problems with multivariate regressions. This is an applied course that will utilize Stata to analyze quantitative social science data.

This intermediate statistics course emphasizes the fundamentals of multivariate regression. The goal is to develop a foundational toolkit to model a variety of dependent variables. The course will teach students how to make decisions about how to model data, how to estimate equations, and how to solve common problems with multivariate regressions. This is an applied course that will utilize Stata to analyze quantitative social science data.

SOC