INTRODUCTION TO STATISTICAL METHODS IN POLITICAL SCIENCE

Name: INTRODUCTION TO STATISTICAL METHODS IN POLITICAL SCIENCE
Availability: OutOfStock
Rating: 4.6 (185 reviews)

POLISCI 812

Course Description

Introductory statistics course for Ph.D. students. Emphasis on probability theory, inference, and the foundations of multivariate least squares and maximum likelihood.

Prerequisites

Graduate/professional standing

Satisfies

POLISCI 818 and POLISCI 917

Credits

Not Reported

Offered

Not Reported

Grade Point Average

3.98

8.38% from Historical

Completion Rate

100%

3.35% from Historical

A Rate

95%

52.83% from Historical

Class Size

40.54% from Historical

Cumulative Grade Distribution

Instructors (2026 Summr)

Sorted by ratings from Rate My Professors

POLISCI 813

Extensive treatment of multiple regression and its variants.

MAXIMUM LIKELIHOOD ESTIMATION

POLISCI 818

Develops the theory of maximum likelihood estimation and applies it to models for discrete and limited dependent variables common to political and social science data.

UNDERSTANDING POLITICAL NUMBERS

POLISCI 270

How numbers and statistics are used in electoral strategies, political debates and legal proceedings. Presents basic tools of analysis and how to use them. Not open to students with credit for POLI SCI 218 prior to fall 2017

EMPIRICAL METHODS OF POLITICAL INQUIRY

POLISCI 817

Acquaints students with a wide variety of research methods used to analyze political phenomena, emphasizing both quantitative and qualitative approaches.

INTRODUCTION TO STATISTICAL COMPUTING IN POLITICAL SCIENCE

POLISCI 811

Introduction to the issues of statistical computing in political science using statistical packages such as STATA and R with emphasis on developing sound practices for organizing data, protocols, and results in empirical research. Not open to students with credit for POLI SCI 553 prior to fall 2017

INTRODUCTION TO STATISTICAL METHODS IN POLITICAL SCIENCE

Similar Courses