COMPSS222
Download as PDF
COMPSS 222 - Applied Statistics II
Subject
COMPSS
Course Number
222
Course Level
Graduate
Course Title
Applied Statistics II
Course Description
This course continues with the development of applied statistical methods appropriate for program evaluation and social science research initiated in COMPSS 212: Applied Statistics I. Topics may include the design of randomized control trials (RCTs), logistic regression, the Bayesian bootstrap, average treatment effect (ATE) estimation under unconfoundedness, local average treatment effects (LATE) and the method of instrumental variables, regression discontinuity design (RDD), quantile regression and discrete hazard analysis. Instruction will involve a mix of theory, illustration and application.
Minimum
3
Maximum
3
Grading Basis
Default Letter Grade; S/U Option
American Cultures Requirement
No
Reading and Composition Requirement
None of the Reading and Composition Requirement
Repeat Rules
Course is not repeatable for credit.
Formats
Lecture
Term
Spring
Duration (in weeks)
15
Minimum Hours
3
Maximum Hours
3
Lecture Mode of Instruction
In Person
Outside Work Hours Min
6
Maximum Hours
6