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Institute for Quantitative Theory and Methods

The Institute for Quantitative Theory and Methods is committed to promoting quantitative training in undergraduate education. QuanTM is focused on engaging Emory's undergraduate students with a number of initiatives, as well as engaging high school students interested in future quantitative study. QuanTM currently offers a new college-wide instructional resources in quantitative methodology and an undergraduate research fellows program.

The Institute also offers a number of programs designed to support faculty and graduate students interested in quantitative theory and methodology. Each year the Institute supports several visiting pre- and post-doctoral fellowships. For faculty interested in developing quantitative skills, QuanTM also offers a competitive skill-building leave program. Finally, faculty and graduate students in need of statistical consulting are welcome to use QuanTM's statistics help desk.

Faculty

Chair/Director
Clifford Carrubba
P9941891
Associate Professor

Education

  • BA, Duke University, 1991
  • PhD, Stanford University, 1998

Departments

  • Political Science, Core Faculty
  • Quantitative Theory and Methods, Core Faculty

Academic Interests

  • comparative political economy
  • Western Europe
  • game theory
Director of Undergraduate Studies
Clifford Carrubba
P9941891
Associate Professor

Education

  • BA, Duke University, 1991
  • PhD, Stanford University, 1998

Departments

  • Political Science, Core Faculty
  • Quantitative Theory and Methods, Core Faculty

Academic Interests

  • comparative political economy
  • Western Europe
  • game theory
Core Faculty
Clifford Carrubba
P9941891
Associate Professor

Education

  • BA, Duke University, 1991
  • PhD, Stanford University, 1998

Departments

  • Political Science, Core Faculty
  • Quantitative Theory and Methods, Core Faculty

Academic Interests

  • comparative political economy
  • Western Europe
  • game theory
Shannon McClintock
P5923642
Lecturer

Education

  • PhD, Emory University, 2012

Department

  • Quantitative Theory and Methods, Core Faculty

Courses

Quantitative Theory and Methods 100-Level Courses
QTM 100: Intro to Stat Inference
General Information
Credit Hours
4
GERs
MQR
Variable GER
None
Pre-Requisites
None
Co-Requisites
None
Cross-Listed
None
Course Description

Contact Hour Information
Course Type
Lecture and Related Component
Weekly Contact Minutes
150
Scheduled Related Component
Lab
Weekly Contact Minutes in Related Component
50 - 90
QTM 110: Introduction to Scientific Methods
General Information
Credit Hours
3
GERs
None
Variable GER
None
Pre-Requisites
None
Co-Requisites
None
Cross-Listed
None
Course Description

Introduces students to the style of analytical thinking required for research in the social sciences, the concepts and procedures used in the conduct of empirical research, and the use of computers for analysis of quantitative social science data

Contact Hour Information
Course Type
Lecture
Weekly Contact Minutes
150
QTM 120: Math for Social Sciences
General Information
Credit Hours
3
GERs
None
Variable GER
None
Pre-Requisites
AP Calculus (AB) or below listed course
MATH 111: Calculus I
Co-Requisites
None
Cross-Listed
None
Course Description

Teaching the necessary mathematical background for students to properly derive and implement common statistical modeling techniques employed in the social sciences. Covers core concepts of linear algebra and multivariable calculus, which are necessary skills for social science research.

Contact Hour Information
Course Type
Lecture
Weekly Contact Minutes
150
QTM 130: Probability and Statistics
General Information
Credit Hours
3
GERs
None
Variable GER
None
Pre-Requisites
QTM 120: Math for Social Sciences
Co-Requisites
None
Cross-Listed
None
Course Description

Covers the structure of probability theory. Discusses the commonly encountered probability distributions, both discrete and continuous. Considers random sampling from the population, and the distribution of some sample statistics. Discusses the problem of estimation, and hypothesis testing.

Contact Hour Information
Course Type
Lecture
Weekly Contact Minutes
150
QTM 140: Regression Analysis
General Information
Credit Hours
3
GERs
None
Variable GER
None
Pre-Requisites
QTM 120: Math for Social Sciences
QTM 130: Probability and Statistics
Co-Requisites
None
Cross-Listed
None
Course Description

Covers the basic technique in quantitative social science research, including procedures for regression analysis. Addresses the foundations of statistical hypothesis testing via linear regression models. Each topic will cover the implementation of relevant methods in the statistical program R.

Contact Hour Information
Course Type
Lecture
Weekly Contact Minutes
150
Quantitative Theory and Methods 300-Level Courses
QTM 385: Special Topics
General Information
Credit Hours
3
GERs
None
Variable GER
None
Pre-Requisites
None
Co-Requisites
None
Cross-Listed
None
Course Description

Special Topics Courses. Includes Game Theory I/II, Maximum Likelihood Estimation, Longitudinal Data Analysis, Experimental Methods, Survey Research Methods, Computational Modeling, and Advanced Topics: Bayesian Statistics

Contact Hour Information
Course Type
Lecture
Weekly Contact Minutes
150
Additional Course Plus Component
Not Applicable
QTM 398R: Peer Mentoring in Statistics
General Information
Credit Hours
2
GERs
None
Variable GER
None
Pre-Requisites
QTM 100: Intro to Stat Inference
Co-Requisites
None
Cross-Listed
None
Course Description

Engage in statistical study and mentor peers in statistics; attend an orientation, work with Academic Support programs to develop mentoring skills, have weekly meetings with the instructor, attend one QTM 100 section a week, and hold mentoring sessions for current QTM 100 students.

Contact Hour Information
Course Type
Directed study
Weekly Contact Minutes
200