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ERIC Number: EJ951765
Record Type: Journal
Publication Date: 2010-Oct
Pages: 33
Abstractor: As Provided
ISSN: ISSN-1076-9986
Marginal Mean Weighting through Stratification: Adjustment for Selection Bias in Multilevel Data
Hong, Guanglei
Journal of Educational and Behavioral Statistics, v35 n5 p499-531 Oct 2010
Defining causal effects as comparisons between marginal population means, this article introduces marginal mean weighting through stratification (MMW-S) to adjust for selection bias in multilevel educational data. The article formally shows the inherent connections among the MMW-S method, propensity score stratification, and inverse-probability-of-treatment weighting (IPTW). Both MMW-S and IPTW are suitable for evaluating multiple concurrent treatments, and hence have broader applications than matching, stratification, or covariance adjustment for the propensity score. Furthermore, mathematical consideration and a series of simulations reveal that the MMW-S method has incorporated some important strengths of the propensity score stratification method, which generally enhance the robustness of MMW-S estimates in comparison with IPTW estimates. To illustrate, the author applies the MMW-S method to evaluations of within-class homogeneous grouping in early elementary reading instruction. (Contains 6 tables.)
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: Early Childhood Education; Elementary Education; Elementary Secondary Education; Kindergarten; Primary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Early Childhood Longitudinal Survey