Race, Ethnicity, and Quantitative Methodology


  • Kerem Ozan Kalkan, Eastern Kentucky University
  • Jamil Scott, Michigan State University

This course is designed to provide you with an overview of the major theories and empirical approaches to the study of intergroup attitudes. While doing so, we will spend a considerable amount of time in understanding, dissecting, and extending the methodologies employed in the study of intergroup attitudes. Since most of the debates on race and ethnicity revolve around measurement, we will focus on different methods in scaling and dimensional analyses, and their applications in the corresponding literature. Each week will begin with a theoretical discussion, continue with methodological lectures, and end with replication/extension of existing studies. The course assumes a basic knowledge of statistics, and familiarity with linear regression (concurrent enrollment in Regression I should be sufficient in the event of no prior knowledge). As we focus on measurement theories, participants are strongly encouraged to enroll in "Scaling and Dimensional Analysis" or "Multivariate Statistical Methods: Advanced Topics" or both.

Software: The course will rely on multiple software packages - R, Stata, and SPSS - depending on the methods we cover. Therefore, participants might want to take the "Introduction to the R Statistical Computing Environment" and "Introduction to Computing" lectures to supplement their statistical software knowledge.

By the end of this course, participants will be able to:

  1. Understand and analyze major theoretical debates in the study of intergroup attitudes.
  2. Identify methodological approaches to the study of race and ethnicity.
  3. Grow a critical outlook in recognizing the strengths and weaknesses of different methods in measuring intergroup attitudes.
  4. Replicate and extend existing empirical work on race and ethnicity by using different statistical software.
  5. Develop a comprehensive understanding of studying race and ethnicity with a strong emphasis on quantitative methods.

Fees: Consult the fee structure.

Tags: race, ethnicity, ethnoraciality, ethnogenesis, discrimination, inequality, stratification, racial order, research design, data collection, measurement, operationalization, statistical inference

Course Sections

Section 1

Location: ICPSR -- Ann Arbor, MI

Date(s): June 26 - July 21

Time: 9:00 AM - 11:00 AM


  • Kerem Ozan Kalkan, Eastern Kentucky University
  • Jamil Scott, Michigan State University