Faculty Profile

Amy Steinbugler

Associate Professor of Sociology (2008)

Contact Information


Denny Hall Room 106


Amy C. Steinbugler's research and teaching focus on issues of race/ethnicity, stratification, neighborhoods, gender, sexuality, and family. She is interested in how individuals maintain social relationships across systems of inequality. With a grant from the Spencer Foundation, she and her colleagues at the University of Pennsylvania have collected data on the school and neighborhood networks of 8th grade parents in a Philadelphia magnet school. They have begun to explore whether parents who live close to their children's schools experience network advantage or disadvantage, relative to parents who live outside the neighborhood. Dr. Steinbugler's other current project is an ethnographic study that explores conflict and cohesion within an economically and racially diverse Philadelphia neighborhood. Her recent book, Beyond Loving: Intimate Racework in Lesbian, Gay, and Straight Interracial Relationships (Oxford University Press, 2012) won the 2014 Distinguished Book Award from the Sexualities Section and the 2014 William J. Goode Book Award from the Family Section of the American Sociological Association. Her writing has been published in Sexualities, Gender & Society, Contexts, DuBois Review, and Ethnic & Racial Studies.

Curriculum Vitae


  • B.A., Evergreen State College, 1998
  • M.A., Temple University, 2002
  • Ph.D., 2007

2018-2019 Academic Year

Fall 2018

SOCI 236 Inequalities in the U.S.
Permission of instructor required

SOCI 244 Quantitative Research Methods
Quantitative Research Methods introduces students to basic principles of sociological research methodologies and statistical analysis. Students learn to conceptualize a research question, operationalize key concepts, identify relevant literature, and form research hypotheses. Then, using elementary tools of descriptive and inferential statistics, they choose appropriate statistical methods, analyze data, and draw meaningful conclusions. Special emphasis is given to interpreting numbers with clear, persuasive language, in both oral and written formats. Students will become proficient in using quantitative software for data analysis. Two and a half hours classroom and three hours laboratory a week. Prerequisite: 110.