Dr. Patrick Shrout is a Professor of Psychology at New York University. His research focuses on the interface of developing methodology and substantive psychological questions in mental health, specifically stress and coping.  Dr. Shrout’s methodologic research has been primarily in psychometrics, sampling, and multilevel models for analysis of growth and change. His current interests include problems of model specification in logistic regression, the design of longitudinal studies, and factor analysis of binary variables. Dr. Shrout is also particularly interested in statistical approaches to studies of dependent processes in social relationships, and the social psychology of statistical instruction and application.

Dr. Shrout’s current mental health research is on coping and support processes that are available to stressed persons who have intimate relationships, while retaining interests in mental health epidemiology, particularly as applied to Latino populations. In collaboration with Niall Bolger, Dr. Shrout runs the NYU Couples Research Lab in the Social Psychology area, where they are carrying out a series of studies of the costs and benefits of social support during stressful times using diary methods. They are pursuing both substantive and methodological research questions with these data.

Areas of expertise
coping; social psychology; community psychology; statistics; research methods

Recent publications

Gleason, M. E. J., Iida, M., Bolger, N. & Shrout, P.E. (2003). Daily supportive equity in close relationships. Personality and Social Psychology Bulletin, 29(6), 1036-1045.

Canino, G., Shrout, P.E., Alegria, M., Rubio Stipec, M., Chavez, L., Ribera, J., Bravo, M., Bauermeister, J. J., Fabregas, L., Horwath, S., & Martinez-Taboas, A. (2002). Methodological challenges in assessing children's mental health services utilization. Mental Health Services Research, 4(2), 97-107.

Shrout, P. E., & Bolger, N. (2002). Mediation in experimental and nonexperimental studies: New procedures and recommendations. Psychological Methods, 7(4), 422-445.