Propensity Score Estimation with Data Mining Techniques : Alternatives to Logistic Regression / Bryan S. B. Keller, Jee-Seon Kim and Peter M. Steiner.

Propensity score analysis (PSA) is a methodological technique which may correct for selection bias in a quasi-experiment by modeling the selection process using observed covariates. Because logistic regression is well understood by researchers in a variety of fields and easy to implement in a number...

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Bibliographic Details

Online Access:	Full Text (via ERIC)
Main Authors:	Keller, Bryan S. B., Kim, Jee-Seon (Author), Steiner, Peter M. (Author)
Corporate Author:	Society for Research on Educational Effectiveness
Format:	eBook
Language:	English
Published:	[Place of publication not identified] : Distributed by ERIC Clearinghouse, 2013.
Subjects:	Probability. Scores. Statistical Analysis. Statistical Bias. Quasiexperimental Design. Regression (Statistics) Mathematical Models. Research Methodology. Evaluation Methods. Simulation. Error of Measurement. Accuracy.