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Download full textStuart, Elizabeth A.; Dong, Nianbo; Lenis, David – Society for Research on Educational Effectiveness, 2016
Complex surveys are often used to estimate causal effects regarding the effects of interventions or exposures of interest. Propensity scores (Rosenbaum & Rubin, 1983) have emerged as one popular and effective tool for causal inference in non-experimental studies, as they can help ensure that groups being compared are similar with respect to a…
Descriptors: Outcomes of Treatment, Probability, Surveys, Computation
Direct linkStapleton, Laura M.; Pituch, Keenan A.; Dion, Eric – Journal of Experimental Education, 2015
This article presents 3 standardized effect size measures to use when sharing results of an analysis of mediation of treatment effects for cluster-randomized trials. The authors discuss 3 examples of mediation analysis (upper-level mediation, cross-level mediation, and cross-level mediation with a contextual effect) with demonstration of the…
Descriptors: Effect Size, Measurement Techniques, Statistical Analysis, Research Design
Reardon, Sean F.; Unlu, Fatih; Zhu, Pei; Bloom, Howard S. – Journal of Educational and Behavioral Statistics, 2014
We explore the use of instrumental variables (IV) analysis with a multisite randomized trial to estimate the effect of a mediating variable on an outcome in cases where it can be assumed that the observed mediator is the only mechanism linking treatment assignment to outcomes, an assumption known in the IV literature as the exclusion restriction.…
Descriptors: Statistical Bias, Statistical Analysis, Least Squares Statistics, Sampling
Reardon, Sean F.; Unlu, Faith; Zhu, Pei; Bloom, Howard – Grantee Submission, 2013
We explore the use of instrumental variables (IV) analysis with a multi-site randomized trial to estimate the effect of a mediating variable on an outcome in cases where it can be assumed that the observed mediator is the only mechanism linking treatment assignment to outcomes, as assumption known in the instrumental variables literature as the…
Descriptors: Statistical Bias, Statistical Analysis, Least Squares Statistics, Sampling
McPhee, C.; Bielick, S.; Masterton, M.; Flores, L.; Parmer, R.; Amchin, S.; Stern, S.; McGowan, H. – National Center for Education Statistics, 2015
The 2012 National Household Education Surveys Program (NHES:2012) Data File User's Manual provides documentation and guidance for users of the NHES:2012 data files. The manual provides information about the purpose of the study, the sample design, data collection procedures, data processing procedures, response rates, imputation, weighting and…
Descriptors: Early Childhood Education, Family Involvement, Parent Participation, Family School Relationship
Wilde, Elizabeth Ty; Hollister, Robinson – Institute for Research on Poverty, 2002
In this study we test the performance of some nonexperimental estimators of impacts applied to an educational intervention--reduction in class size--where achievement test scores were the outcome. We compare the nonexperimental estimates of the impacts to "true impact" estimates provided by a random-assignment design used to assess the…
Descriptors: Computation, Outcome Measures, Achievement Tests, Scores
