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Workshops on multilevel models, racial attitudes and politics, theoretical modeling, and RDD


Subject: Workshops on multilevel models, racial attitudes and politics, theoretical modeling, and RDD


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Still time left to register for these workshops!

Yesterday was the first day of the 2022 ICPSR Summer Program! We have a couple of short workshops underway now, and there's lots of workshops left to join.

See our schedule for 2022 Short Workshops for the full list of courses.
Applied Multilevel Models for Longitudinal and Clustered Data
June 13-17
Instructor: Ryan Walters, Creighton University
In-person location: University of Colorado, Boulder

This workshop will serve as an applied introduction to multilevel models, beginning with longitudinal data and continuing to clustered data. Multilevel models for (conditionally) normal and non-normal outcomes will be presented. This workshop will focus heavily on appropriate interpretation of all fixed and random effects to ensure attendees appropriately estimate these models and report results. Numerous software examples in Stata, SPSS, and SAS will be provided to allow attendees to begin using multilevel models in their own research. This workshop will include many opportunities for hands-on practice using instructor-provided in-class activities; attendees are strongly encouraged to bring their own data as well.
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.
Full Short Workshop Schedule
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