Research Fields: Race, Religion, Gender, Immigration, Political Behavior, Political Psychology, Policy Attitudes
Courses: Exit Poll; Public Opinion; Immigration Politics; Experiments; Identity Politics; Religion and Politics; American Federal Government
Dr. Shortle is an associate professor at the University of Oklahoma, where she studies group identity in the context of American political behavior. She also serves as a faculty member for Latinx Studies and Women and Gender Studies. She runs OU’s Community Engagement + Experiments Laboratory (CEEL), Oklahoma City’s Community Poll (Exit Poll), and OU’s Democracy Survey of OU freshmen. For fun, she lends research support to organizations seeking to increase civic engagement and improve physical and mental health of their communities.
For the 2022 midterms, Dr. Shortle’s exit poll class will be helping SoonerPoll, News9 (OKC), and News on 6 (Tulsa), to poll early voters around the state. Her students will also be polling voters in OKC’s urban core on Election Day. Stay tuned!
Dr. Shortle’s new co-authored Cambridge University Press book, The Everyday Crusade: Christian Nationalism in American Politics (2022 – w. Eric L. McDaniel and Irfan Nooruddin), examines the relationship between American religious exceptionalism and prejudicial and antidemocratic attitudes. She is currently extending this line of research to examine the many faces of ethnocultural nationalism (EN) – defining American identity according to ascriptive traits such as race, religion, and gender (w. Ana Bracic and Mackenzie Israel-Trummel). Based on their recent publication on EN’s relationship to family separation policy attitudes, they will analyze EN’s relationship to a wide array of policy attitudes and behavioral outcomes across several countries. She also has an emerging research agenda focused on the intersection of religious identity and behavioral political administration.
At the doctoral level, she teaches courses on group identity, public opinion/political psychology, and behavioral research methods.