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 , Ph.D., Psychology, Social Psychology Associate Research Scientist Prevention Research Center Berkeley, California
Phone: (510) 883-5757 Fax: (510) 644-0594 Email: mtodd@prev.org
Michael Todd is an Associate Research Scientist at PIRE’s Prevention Research Center. He has been with PIRE since 2003. Mike is currently working with Drs. MJ Paschall and Joel Grube on an NIAAA-funded study of the interplay of city-level alcohol policies, policy enforcement, demographic and environmental characteristics (e.g., alcohol outlet density) and psychosocial variables (e.g., alcohol-related beliefs, deviance) in predicting trajectories of alcohol use in adolescents. Dr. Todd is also working Dr. Carol Cunradi on an NIAAA-funded project aimed at understanding the associations among neighborhood characteristics such as alcohol outlet density, social cohesion, and norms around intimate partner violence and individual and couple-level behaviors, including alcohol use and intimate partner violence. With Dr. Sandra Lapham, Dr. Todd is testing and developing prospective prediction models of DUI recidivism in a sample of convicted DUI offenders. Dr. Todd’s substantive areas of expertise include stress, coping, and substance use. His methodological expertise is in daily process (experience sampling) methods, multilevel modeling, and structural equation modeling techniques.
After receiving a B.S. in Psychology from Texas A & M University in 1991, Mike earned an M.A. (1994) and a Ph.D. in Social Psychology at Arizona State University. In 2001, immediately following completion of his graduate work, Mike pursued further training as a post-doctoral fellow at the University of Connecticut School of Medicine’s NIAAA-funded Alcohol Research Center. While at ASU, Mike worked with data from large-scale longitudinal studies exploring the natural history of smoking and the individual and family psychosocial predictors of drinking and other psychopathology in adolescents and young adults. His doctoral and postdoctoral work focused on daily processes in the associations among stress, mood, coping, and substance use in adult and college student samples.
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