Progressing research impact assessment: A 'contributions' approach
Progressing research impact assessment: A 'contributions' approach
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DOI：
10.1093/reseval/rvv016
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发表时间：
2015-10-01
影响因子：
3.3
通讯作者：
Morton, Sarah
中科院分区：
文献类型：
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作者：
Morton, Sarah
为了学习、问责或展示研究投资的价值，人们越来越有兴趣展示研究成果。然而，评估社会科学研究对政策和实践的影响具有挑战性。研究在政策和实践环境中被接受、使用和重复使用的方式意味着很难将研究过程或产出与更广泛的变化联系起来，时间尺度也很难预测。本文提出了一个基于经验的研究贡献评估框架。采用个案研究的方法，探讨研究影响的性质，以及如何评估。调查结果被用来设计，开发和测试一个框架，以评估研究的政策和实践的相关领域的贡献，并阐明更广泛的好处。该框架是根据贡献分析改编的，使用“贡献”的概念来帮助解释研究如何被采纳并用于影响政策和实践。该框架允许重点关注研究用户的作用，并审查过程和成果。有人认为，这种方法避开了评估影响方面的一些常见问题。它提供了一种将研究和知识交流与更广泛的成果联系起来的方法，同时承认并包括有助于或阻碍研究影响的背景因素。它是实用的，平衡了鲁棒性和可行性。它适用于广泛的内容、影响评估类型和目的。
There is an increasing interest in demonstrating the outcomes from research for the purposes of learning, accountability, or to demonstrate the value of research investments. However, assessing the impact of social science research on policy and practice is challenging. The ways in which research is taken up, used, and reused in policy and practice settings means that linking research processes or outputs to wider changes is difficult, and timescales are hard to predict. This article proposes an empirically grounded framework for assessing the impact of research the Research Contribution Framework. A case study approach was adopted to explore the nature of research impact and how it might be assessed. Findings were used to design, develop, and test a framework to assess the contribution of research to relevant areas of policy and practice and to articulate wider benefits. The framework has been adapted from contribution analysis, using the idea of 'contribution' to help explain the ways research is taken up and used to influence policy and practice. The framework allows for a focus on the roles of research users, and examines both processes and outcomes. It is argued that this approach gets round some of the common problems in assessing impact. It provides a method of linking research and knowledge exchange to wider outcomes whilst acknowledging and including contextual factors that help or hinder research impact. It is practical, balancing robustness with feasibility. It is adaptable for a wide range of content, types of impact assessment, and purposes.