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Common components analysis: An adapted approach for evaluating programs

机译:通用组件分析:一种用于评估程序的适应性方法

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摘要

Common Components Analysis (CCA) summarizes the results of program evaluations that utilize randomized control trials and have demonstrated effectiveness in improving their intended outcome(s) into their key elements. This area of research has integrated and modified the existing CCA approach to provide a means of evaluating components of programs without a solid evidence -base, across a variety of target outcomes. This adapted CCA approach (a) captures a variety of similar program characteristics to increase the quality of the comparison within components; (b) identifies components from four primary areas (i.e., content, process, barrier reduction, and sustainability) within specific programming domains (e.g., vocation, social); and (c) proposes future directions to test the extent to which the common components are associated with changes in intended program outcomes (e.g., employment, job retention). The purpose of this paper is to discuss the feasibility of this adapted CCA approach. To illustrate the utility of this technique, researchers used CCA with two popular employment programs that target successful Veteran reintegration but have limited program evaluation - Hire Heroes USA and Hire Our Heroes. This adapted CCA could be applied to longitudinal research designs to identify all utilized programs and the most promising components of these programs as they relate to changes in outcomes.
机译:通用成分分析(CCA)总结了利用随机对照试验得出的计划评估结果,并已证明将预期结果改进为关键要素的有效性。该研究领域已经整合并修改了现有的CCA方法,从而提供了一种评估项目组成部分的方法,而没有可靠的证据基础,可以涵盖各种目标结果。这种经过调整的CCA方法(a)捕获了各种相似的程序特征,以提高组件内比较的质量; (b)在特定的编程领域(例如,职业,社会)中确定四个主要领域(即内容,过程,减少障碍和可持续性)的组成部分; (c)提出未来的方向,以测试共同组成部分与预期的计划成果(例如,就业,工作保留)的变化相关的程度。本文的目的是讨论这种改进的CCA方法的可行性。为了说明这项技术的实用性,研究人员将CCA与两个流行的就业计划结合使用,这些计划针对的是成功的老兵重返社会,但对计划的评估却很有限-“雇用英雄”和“雇用我们的英雄”。这种经过修改的CCA可以用于纵向研究设计,以识别所有利用的计划以及这些计划中与结果变化相关的最有希望的组成部分。

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