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Pan, Yilin – Society for Research on Educational Effectiveness, 2016
Given the necessity to bridge the gap between what happened and what is likely to happen, this paper aims to explore how to apply Bayesian inference to cost-effectiveness analysis so as to capture the uncertainty of a ratio-type efficiency measure. The first part of the paper summarizes the characteristics of the evaluation data that are commonly…
Descriptors: Resource Allocation, Cost Effectiveness, Bayesian Statistics, Statistical Analysis
Miratrix, Luke; Feller, Avi; Pillai, Natesh; Pati, Debdeep – Society for Research on Educational Effectiveness, 2016
Modeling the distribution of site level effects is an important problem, but it is also an incredibly difficult one. Current methods rely on distributional assumptions in multilevel models for estimation. There it is hoped that the partial pooling of site level estimates with overall estimates, designed to take into account individual variation as…
Descriptors: Probability, Models, Statistical Distributions, Bayesian Statistics
Kaplan, David; Chen, Jianshen – Society for Research on Educational Effectiveness, 2013
The purpose of this study is to explore Bayesian model averaging in the propensity score context. Previous research on Bayesian propensity score analysis does not take into account model uncertainty. In this regard, an internally consistent Bayesian framework for model building and estimation must also account for model uncertainty. The…
Descriptors: Bayesian Statistics, Models, Probability, Monte Carlo Methods
Kim, Jee-Seon; Steiner, Peter M.; Hall, Courtney; Thoemmes, Felix – Society for Research on Educational Effectiveness, 2013
When randomized experiments cannot be conducted in practice, propensity score (PS) techniques for matching treated and control units are frequently used for estimating causal treatment effects from observational data. Despite the popularity of PS techniques, they are not yet well studied for matching multilevel data where selection into treatment…
Descriptors: Probability, Research Methodology, Control Groups, Experimental Groups
Hansen, Ben B.; Fredrickson, Mark M. – Society for Research on Educational Effectiveness, 2014
The goal of this research is to make sensitivity analysis accessible not only to empirical researchers but also to the various stakeholders for whom educational evaluations are conducted. To do this it derives anchors for the omitted variable (OV)-program participation association intrinsically, using the Love plot to present a wide range of…
Descriptors: Research Methodology, Quasiexperimental Design, Evaluation Methods, Comparative Analysis
Thomas, Ally S.; Bonner, Sarah M.; Everson, Howard T. – Society for Research on Educational Effectiveness, 2014
Recently, the authors have been exploring the use of propensity score methods for developing evidence of program impact. Specifically, they have been developing evidence (after one year of implementation) of the effects of the Math Science Partnership in New York City ("MSPinNYC2") on high school students' achievement--both in terms of…
Descriptors: Program Evaluation, Probability, Scores, Scoring
McCormick, Meghan P.; O'Connor, Erin E.; Cappella, Elise; McClowry, Sandee G. – Society for Research on Educational Effectiveness, 2013
A robust body of research has identified associations between positive teacher-child relationships--characterized by high levels of closeness and low levels of conflict--and children's academic achievement in elementary school (e.g. Roorda, 2012). Additional studies find that high-quality teacher-child relationships may promote academic resilience…
Descriptors: Teacher Student Relationship, Reading Achievement, Mathematics Achievement, Correlation