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Peck, Laura R.; Camillo, Furio; D'Attoma, Ida – Canadian Journal of Program Evaluation, 2009
This article presents a creative and practical process for dealing with the problem of selection bias. Taking an algorithmic approach and capitalizing on the known treatment-associated variance in the X matrix, we propose a data transformation that allows estimating unbiased treatment effects. The approach does not call for modelling the data,…
Descriptors: Program Evaluation, Intervention, Experiments, Comparative Analysis
Job Corps, 2008
This paper presents the recommendations made by the Advisory Committee on Job Corps to the Secretary of Labor pertaining to the review, development and implementation of policies, legislation and regulations for the Job Corps program. This document represents the culmination of an intensive and comprehensive nine-month process undertaken by the…
Descriptors: Job Training, Labor, Federal Programs, Program Effectiveness