Lacourse Eric

Biography

Lacourse Eric IS A Professor Ph.D., 2000, Psychology Research / Intervention, University of Montreal Postdoc, 2002, Methodology and Statistics, Carnegie Mellon University, Pittsburgh. Associate Professor, 2016, School of Social Work, University of Windsor Contact : T elephone 514-343-6766 Pav. PAV.M.CARON-L.GROULX-3200 JB \ bur. C5104 at University of Montreal, Department of Sociology, Canada.  He teaches mainly online courses in research methodology and statistics. ( Registration to the three course modules on Praxis )  He obtained his Ph.D. in Quantitative Method from the Department of Psychology at the University of Montreal specializing in structural equation models, including confirmatory factor analysis. Subsequently,  He did postdoctoral studies at the Carnegie Mellon University Heinz School of Public Policy and Management. I developed an expertise in mixing models to analyze longitudinal data.   Recently, He also co-authored a book with Catherine Malboeuf-Hurtubise on mindfulness meditation for children:  Malboeuf-Hurtubise, C., and Lacourse, É,  Mission Meditation . Les Éditions Midi Thirty.  He have a multidisciplinary and collaborative perspective.  He appreciate the practices suggested by Open Science  and  the research tools offered by the Open Science Framework . To further explore my scientific publications, I invite you to read: ResearchGate Google Scholar His articles focus primarily on longitudinal data, but also on randomized controlled trials to assess the impacts of different universal, selective and indicated prevention programs. Education SOL 2020 Advanced Social Statistics SOL 6211 Multilevel and Longitudinal Models Interesting links in research methodology and statistics Methodology Center Statistical Horizons       </ Section> Research expertise  He is an expert in psychology of social development of children and adolescents. This video presentation gives an overview of part of my research career. Recently, his work has focused on the application of longitudinal analyzes to genetically informative specifications (twins) and single case experimental designs. He is also interested in the implementation of complex and "adaptive" experimental designs in schools and hospitals.

Research Interest

Research methodology and statistics, Multilevel and structural equation modeling, Trajectories and life time, Childhood and adolescence, Mental health and well-being & Prevention.