Facilitator: William D. Crano
Complicated situation in social science and evaluation means randomized experiments may not be the most feasible option. In these situations, quasi experiments may be more relevant. Beginning with a consideration of randomized experiments, strengths and weaknesses, threats to internal and external validity and reliability, the workshop will then introduce quasi experiments. Designs that do not use random assignment or a control group or pretest, will be considered. Other relevant topics to cover include propensity scoring approaches; case control designs and analysis; time series designs with a particular focus on the use of interrupted time series studies; and regression/discontinuity designs. Useful analytical models pertaining to each design approach are will be discussed.
Organization: Claremont Graduate University, California, USA
For registration: http://www.cgu.edu/pages/4729.asp
For more information: http://www.cgu.edu/pages/997.asp