Challenges, Opportunities, and Methods for Large-Scale Evaluations

Author:

Derzon James H.1

Affiliation:

1. RTI International, Social, Statistical, and Environmental Sciences, Center for Advanced Research Methods, Washington, DC, USA

Abstract

The logic, theory, and practice of large-scale evaluation were once limited to large federal initiatives. However, with the advent of regularly collected performance measures and the often multisite implementation of quality improvement efforts, there is an opportunity to adopt large-scale evaluation methods in local and regional evaluation efforts. While ineffective programs show little variation in their ineffectiveness, effective programs generally show a range of effects. A central task of large-scale evaluation is to describe and ascribe why the same program, implemented in multiple settings, produces different effects. By its attention to variation attributable to setting, activities, outputs, and by participants and documenting the conditions in which programs achieve greater and lesser success, large-scale evaluation supports the needs of decision-makers when choosing to implement an evidence-based program. In addition to knowing a program is effective, decision-makers want to know whether it is appropriate for their situation and what facilitates or impedes effective implementation and bears on the program’s ultimate effectiveness. This article presents the different methods and approaches appropriate for effectively and efficiently constructing and executing a large-scale evaluation that will provide decision-makers the evidence they need for evidence-informed adoption of effective programs.

Publisher

SAGE Publications

Subject

Health Policy

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3