ERIC Number: ED518773
Record Type: Non-Journal
Publication Date: 2011
Reference Count: 27
Bayesian Propensity Score Analysis: Simulation and Case Study
Kaplan, David; Chen, Cassie J. S.
Society for Research on Educational Effectiveness
Propensity score analysis (PSA) has been used in a variety of settings, such as education, epidemiology, and sociology. Most typically, propensity score analysis has been implemented within the conventional frequentist perspective of statistics. This perspective, as is well known, does not account for uncertainty in either the parameters of the propensity score model or the causal model. Indeed, the conventional implementation of PSA does not allow prior information to enter into the analysis. To account for uncertainty in model parameters we must adopt a Bayesian perspective. Thus, the purpose of this paper is to provide a review and comparative investigation of frequentist and Bayesian propensity score analysis as a means of warranting causal inferences in observational settings.
Descriptors: Bayesian Statistics, Probability, Statistical Analysis, Statistical Inference, Comparative Analysis, Case Studies, Kindergarten
Society for Research on Educational Effectiveness. 2040 Sheridan Road, Evanston, IL 60208. Tel: 202-495-0920; Fax: 202-640-4401; e-mail: firstname.lastname@example.org; Web site: http://www.sree.org
Publication Type: Reports - Evaluative
Education Level: Early Childhood Education; Kindergarten
Authoring Institution: Society for Research on Educational Effectiveness (SREE)
Identifiers - Assessments and Surveys: Early Childhood Longitudinal Survey