1-2 week workshops, register today to save your seat!
|
|
Next week is the official start of the 2022 ICPSR Summer Program! For almost 60 years we've helped bridge the gap between dream and reality in quantitative research, teaching methods and statistics to social scientists the world over. We've got another great lineup of workshops this year that will help you get the most out of your data in just one or two weeks.
See our schedule for 2022 Short Workshops for the full list of courses. |
|
Racial Attitudes, Racial Identities, and Politics
June 20-24
Instructor: Ashley Jardina, Duke University
This one-week workshop will focus mostly on the nature of racial attitudes and racial identities across different racial groups, and it will consider the ways in which these constructs have been important for understanding political attitudes and behavior over time. We will discuss theories of racial attitudes and identities, delving into concepts like racial resentment, racial stereotypes, group affect, and racial identity. The course will cover best practices for measuring these constructs using survey methods while delving into theoretical expectations for the ways in which these attitudes and identities are associated with political preferences and behavior. The workshop will include exercises involving secondary analyses of various survey datasets based upon participants’ own research interests. |
|
Regression Discontinuity Designs
June 20-24
Instructors: Sebastian Calonico, Columbia University; Gonzalo Vazquez-Bare, University of California-Santa Barbara
This short course gives an introduction to the basic principles of the Regression Discontinuity (RD) design, and also discusses recent methodological developments in the interpretation and analysis of this quasi-experimental design. The workshop provides an accessible summary of the assumptions behind the RD design and introduces participants to different methods that are appropriate for the successful analysis of RD empirical applications. The course also covers extensions to the basic RD design, including fuzzy RD designs and RD designs with discrete running variables. |
|
Theoretical Modeling for the Social Sciences
June 20-24
Instructor: Bear Braumoeller, Ohio State University
The core domain knowledge of any scientific discipline is made up of theoretical models, such as the Bohr model of the atom in physics. Unfortunately, in the social sciences, we teach theory-testing much more than we teach theorizing. As a result, our theories are often poorly articulated and only loosely captured by empirical tests. This is a course about how to theorize in the social sciences, using computational models and simulations as a medium. It explores both the construction of computational models, in the easy-to-learn, open-source NetLogo programming language, and ways in which theoretical models, once constructed, might be usefully connected to data. |
|
Other workshops starting in June - plenty to choose from!
-
June 6-10: Process Tracing in Qualitative and Mixed Methods Research
-
June 6-17: Network Analysis: Statistical Approaches
-
June 13-17: Applied Multilevel Models for Longitudinal and Clustered Data
-
June 13-17: Usage and Application of Meta-Analysis Techniques
-
June 20-July 1: Techniques for the Analysis of Legal and Judicial Data
-
June 20-July 1: Multilevel Modeling in the Social Sciences
-
June 21-June 30: Item Response Theory: Methods for Scale Development and Analysis
|
|
|
Stay up-to-date with the Summer Program!
|
|
|
|