Impact Evaluation - Are We 'Off the Gold Standard'?
Impact Evaluation - Are We 'Off the Gold Standard'?
复制标题
影响评估——我们是否“偏离了黄金标准”?
DOI:
10.1057/ejdr.2013.42
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发表时间:
2014
期刊:
影响因子:
--
通讯作者:
Camfield L
中科院分区:
文献类型:
--
作者:
Camfield L
The short pieces in the themed debate section speak to the importance of evaluation and replication of evaluations. They can improve the quality of development policy and programmes and explain intended and unintended consequences. The pieces raise questions such as: Is impact evaluation evaluation? Can randomised controlled trials (RCTs) help policy makers? and What does a focus on observables really tell us? In this Introduction we summarise their arguments and make practical proposals to improve the quality of evaluation research, whether this is quantitative, qualitative or mixed methods. 1The section begins with Lensink’s piece, which provides a clear summary of the different methods used within impact evaluation and the information they can provide policy makers and programme designers. He proposes that the best place for impact evaluations is not, in fact, at the end of the project, but while the programme is being piloted to find out ‘whether and in which conditions an intervention is likely to work [and] enable tests of the relevance of different theories’. This might involve researchers and project managers working together to develop a Theory of Change2 by defining project aims and thinking about the causal effects of interventions. A successful pilot evaluation could then be a precondition for financing the roll-out of a project. Lensink notes that evaluating existing projects is problematic for a number of reasons (for example, lack of a comparison group, or the presence of multiple components) and therefore additional qualitative and quantitative techniques are always needed to control for bias and validate outcomes. However, because results for a particular project may not hold in other settings in the same country, let alone in other countries,‘stand-alone exercises [RCTs], not validated by replication studies in other settings […] can never truly guide national aid policies’.