Treatment Confounded Missingness : A Comparison of Methods for Addressing Censored or Truncated Data in School Reform Evaluations. CRESST Report 832 / Jordan H. Rickles, Mark Hansen and Jia Wang.

In this paper we examine ways to conceptualize and address potential bias that can arise when the mechanism for missing outcome data is at least partially associated with treatment assignment, an issue we refer to as treatment confounded missingness (TCM). In discussing TCM, we bring together concep...

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Bibliographic Details
Online Access:	Full Text (via ERIC)
Main Authors:	Rickles, Jordan Harry, Hansen, Mark Patrick (Author), Wang, Jia (Author)
Corporate Author:	University of California, Los Angeles. Center for Research on Evaluation, Standards, and Student Testing
Format:	eBook
Language:	English
Published:	[Place of publication not identified] : Distributed by ERIC Clearinghouse, 2013.
Subjects:	Data. Bias. Data Analysis. Statistical Analysis. Computation. Simulation. Educational Change. High Schools. Charter Schools. Academic Achievement. Academic Persistence. High School Students. Outcomes of Education.

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Treatment Confounded Missingness : A Comparison of Methods for Addressing Censored or Truncated Data in School Reform Evaluations. CRESST Report 832 / Jordan H. Rickles, Mark Hansen and Jia Wang.

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