Full Matching in an Observational Study of Coaching for the SAT

Among matching techniques for observational studies, full matching is in principle the best, in the sense that its alignment of comparable treated and control subjects is as good as that of any alternate method, and potentially much better. This article evaluates the practical performance of full ma...

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Bibliographic Details
Published in:	Journal of the American Statistical Association Vol. 99; no. 467; pp. 609 - 618
Main Author:	Hansen, Ben B
Format:	Journal Article
Language:	English
Published:	Alexandria, VA Taylor & Francis 01.09.2004 American Statistical Association Taylor & Francis Ltd
Subjects:	Algorithms Applications Applications and Case Studies Attitudes Bias Coaching Control groups Data analysis Data collection Exact sciences and technology General topics Graph algorithm Intelligence Linear inference, regression Matching Matching with multiple controls Mathematics Men Methodology Missing data Modeling Multivariate analysis Network flow Observational studies Optimal matching Pretests Probability Probability and statistics Propensity Propensity score Quasiexperiment Research subjects SAT assessment Sciences and techniques of general use Secondary school mathematics Socioeconomic status Standardized tests Statistical methods Statistics Data analysis Prior distribution Treatment efficiency Bias Regression analysis Covariate Variance Statistical method Statistical regression Missing data Treatment effect Application Biased estimation
ISSN:	0162-1459, 1537-274X
Online Access:	Get full text
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