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Mon, March 20, 2017, noon:
Dean Yang, Taken by Storm

William Axinn

Research Professor, Population Studies Center.

Professor, Sociology.

Research Professor, Survey Research Center.

Ph.D., University of Michigan

Dr. Axinn studies the relationships among social change, family organization, intergenerational relationships, marriage, cohabitation and fertility in the United States and Nepal. His research also includes the development of new methods for collecting social science data. His teaching centers on the family, the life course, fertility and research methods.

Select Publications

Books

Jayakody, Rukmalie, Arland Thornton, and William Axinn. 2008. . (Eds)International Family Change: Ideational Perspectives. New York: Lawrence Erlbaum. Abstract.

Thornton, Arland, William Axinn, and Yu Xie. 2007. Marriage and Cohabitation. Chicago: University of Chicago Press. Abstract.

Axinn, William, and Lisa D. Pearce. 2006. Mixed Method Data Collection Strategies. New York : Cambridge University Press. Abstract.

Journal Articles

Hawes, Armani, William Axinn, and Dirgha Ghimire. Forthcoming. "Ethnicity and Psychiatric Disorders." Annals of Psychiatry and Mental Health. NIHMSID: NIHMS826048.

Auerbach, R.P., J. Alonso, William Axinn, P. Cuijpers, D.D. Ebert, I. Hwang, and R.C. Kessler, et al. 2016. "Mental disorders among college students in the World Health Organization World Mental Health Surveys." Psychological Medicine, 46(14): 2955-2970. DOI. Abstract.

Axinn, William, Heather Gatny, and James Wagner. 2015. "Maximizing data quality using mode switching in mixed-device survey design: Nonresponse bias and models of demographic behavior." methods, data, analyses, 9(2): 163-184. PMCID: PMC4746010. DOI. Abstract.

Ghimire, Dirgha, William Axinn, and Emily Smith-Greenaway. 2015. "Impact of the spread of mass education on married women's experience with domestic violence." Social Science Research, 54: 319-331. PMCID: PMC4607934. DOI. Abstract.

View additional select publications of William Axinn

Current PSC Trainees:

Ellen Compernolle, Mira Vale, Yang Zhang.