1st Edition
Applied Data Analytic Techniques For Turning Points Research
P. Cohen, Turning Points: Theoretical Considerations, Research Designs, and a Preview of the Book. D. S. Nagin, T. Barker, E. Lacourse, R. E. Tremblay, The Inter-Relationship of Temporally Distinct Risk Markers and the Transition From Childhood Physical Aggression to Adolescent Violent Delinquency. C. Wimer, R. J. Sampson, J. H. Laub, Estimating Time-Varying Causes and Outcomes, With Application to Incarceration and Crime. D. Rindskopf, J. R.Sneed, Turning Points in Family Contact During Emerging Adulthood. A. M. Hussong, P. J. Curran, T. E. Moffitt, A. Caspi, Testing Turning Points Using Latent Growth Curve Models: Competing Models of Substance Abuse and Desistance in Young Adulthood. J. J. McArdle, L. Wang, Modeling Age-Based Turning Points in Longitudinal Life-Span Growth Curves of Cognition. C. T. Burke, P. E. Shrout, N. Bolger, Bereavement as a Potential Turning Point: Modeling Between-Person Variability in Adjustment to Conjugal Loss. M. Lindquist, T. D. Wager, Application of Change-Point Theory to Modeling State-Related Activity in fMRI. H. Chen, P. Cohen, K. Gordon, Using an Econometric Model of Change Points to Locate Turning Points in Individual Time Series. P. Cohen, K. Gordon, S. Kasen, H. Chen, Developmental Structural Change in the Maturity of Role Assumption.
Biography
Dr. Patricia Cohen is Professor of Clinical Epidemiology in Psychiatry at Columbia University College of Physicians and Surgeons and the New York State Psychiatric Institute, where she has been since her Ph.D. in Social Psychology from New York University. She is best known for her texts on multiple regression analyses written with her husband Jacob Cohen, and for the over 200 published articles on the onset and course of mental illness based on her 30 year study of a general population cohort of children, the Children in the Community study.
"Patricia Cohen and her co-editors offer a turning point for applied researchers who want a variety of innovative options for analyzing longitudinal data. The array of contributors is top notch, with the methods and topics providing valuable, easy to understand input to those in multiple disciplines."
Lisa Harlow,
University of Rhode Island
