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Estimating the Standard Error of the Impact Estimator in Individually Randomized Trials with Clustering. MDRC Working Papers on Research Methodology
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Weiss, Michael J.; Lockwood, J. R.; McCaffrey, Daniel F. – MDRC, 2014
In many experimental evaluations in the social and medical sciences, individuals are randomly assigned to a treatment arm or a control arm of the experiment. After treatment assignment is determined, individuals within one or both experimental arms are frequently grouped together (e.g., within classrooms or schools, through shared case managers,…
Descriptors: Error of Measurement, Randomized Controlled Trials, Correlation, Computation
Assessing Attrition Bias -- Addendum
Peer reviewed Peer reviewed
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What Works Clearinghouse, 2014
Attrition occurs when members of the initial research sample are not part of the final analysis sample, such as due to missing data or leaving the study. Both the overall sample attrition and the differences in attrition between the groups can affect the statistical equivalence of the sample and create potential for bias. The WWC has given careful…
Descriptors: Attrition (Research Studies), Statistical Bias, Randomized Controlled Trials, Models
Theoretical and Empirical Underpinnings of the What Works Clearinghouse Attrition Standard for Randomized Controlled Trials
Peer reviewed Peer reviewed
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Deke, John; Chiang, Hanley – Society for Research on Educational Effectiveness, 2014
Meeting the What Works Clearinghouse (WWC) attrition standard (or one of the attrition standards based on the WWC standard) is now an important consideration for researchers conducting studies that could potentially be reviewed by the WWC (or other evidence reviews). Understanding the basis of this standard is valuable for anyone seeking to meet…
Descriptors: Attrition (Research Studies), Student Attrition, Randomized Controlled Trials, Standards
Assessing Attrition Bias
Peer reviewed Peer reviewed
PDF on ERIC Download full text
What Works Clearinghouse, 2013
Attrition occurs when members of the initial research sample are not part of the final analysis sample, such as due to missing data or leaving the study. Both the overall sample attrition and the differences in attrition between the groups can affect the statistical equivalence of the sample and create potential for bias. The WWC has given careful…
Descriptors: Attrition (Research Studies), Statistical Bias, Randomized Controlled Trials, Models