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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| 100 | 1 | |a Rickles, Jordan Harry. | |
| 245 | 1 | 0 | |a Treatment Confounded Missingness : |b A Comparison of Methods for Addressing Censored or Truncated Data in School Reform Evaluations. CRESST Report 832 / |c Jordan H. Rickles, Mark Hansen and Jia Wang. |
| 264 | 1 | |a [Place of publication not identified] : |b Distributed by ERIC Clearinghouse, |c 2013. | |
| 300 | |a 1 online resource (38 pages) | ||
| 336 | |a text |b txt |2 rdacontent. | ||
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| 500 | |a Availability: National Center for Research on Evaluation, Standards, and Student Testing (CRESST). 300 Charles E Young Drive N, GSE&IS Building 3rd Floor, Mailbox 951522, Los Angeles, CA 90095-1522. Tel: 310-206-1532; Fax: 310-825-3883; Web site: http://www.cresst.org. |5 ericd. | ||
| 500 | |a Sponsoring Agency: Bill and Melinda Gates Foundation. |5 ericd. | ||
| 500 | |a Abstractor: As Provided. |5 ericd. | ||
| 500 | |a Educational level discussed: High Schools. | ||
| 500 | |a Educational level discussed: Secondary Education. | ||
| 516 | |a Text (Reports, Research) | ||
| 520 | |a 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 concepts from the methodological literature on missing data, mediation, and principal stratification. We use a pair of simulation studies to demonstrate the main biasing properties of TCM and test different analytic approaches for estimating treatment effects given this missing data problem. We also demonstrate TCM and the different analytic approaches with empirical data from a study of a traditional high school that was converted to a charter school. The empirical illustration highlights the need to investigate possible TCM bias in high school intervention evaluations, where there is often an interest in studying the effects of an intervention or reform on both school persistence and academic achievement. The following are appended: (1) Detailed Description of Analytic Approaches Used for the Simulation Study; and (2) Summary of Simulation Study Results. | ||
| 524 | |a National Center for Research on Evaluation, Standards, and Student Testing (CRESST). |2 ericd. | ||
| 650 | 0 | 7 | |a Data. |2 ericd. |
| 650 | 0 | 7 | |a Bias. |2 ericd. |
| 650 | 0 | 7 | |a Data Analysis. |2 ericd. |
| 650 | 0 | 7 | |a Statistical Analysis. |2 ericd. |
| 650 | 0 | 7 | |a Computation. |2 ericd. |
| 650 | 0 | 7 | |a Simulation. |2 ericd. |
| 650 | 0 | 7 | |a Educational Change. |2 ericd. |
| 650 | 0 | 7 | |a High Schools. |2 ericd. |
| 650 | 0 | 7 | |a Charter Schools. |2 ericd. |
| 650 | 0 | 7 | |a Academic Achievement. |2 ericd. |
| 650 | 0 | 7 | |a Academic Persistence. |2 ericd. |
| 650 | 0 | 7 | |a High School Students. |2 ericd. |
| 650 | 0 | 7 | |a Outcomes of Education. |2 ericd. |
| 700 | 1 | |a Hansen, Mark Patrick, |e author. | |
| 700 | 1 | |a Wang, Jia, |e author. | |
| 710 | 2 | |a University of California, Los Angeles. |b Center for Research on Evaluation, Standards, and Student Testing. | |
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