贡献分析中的因果索赔

IF 0.2 Q4 SOCIAL SCIENCES, INTERDISCIPLINARY Canadian Journal of Program Evaluation Pub Date : 2023-03-01 DOI:10.3138/cjpe.75428
M. Palenberg
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引用次数: 4

摘要

这篇文章是对John Mayne关于贡献分析的工作的致敬。它侧重于贡献分析旨在解决的因果主张,以及自John于1999年首次发表该方法以来,这些主张是如何演变的。它首先列出了与贡献分析相关的四种因果关系:反事实因果关系、生成因果关系、INUS因果关系和概率因果关系。然后描述了John如何将INUS条件和概率元素整合到贡献分析方法中,接着描述了John如何思考这种方法是否可以——而且应该——也解决反事实问题。文章最后对贡献分析如何灵活地整合不同因果关系类型的要素进行了观察。
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Causal Claims in Contribution Analysis
This article is a tribute to John Mayne’s work on Contribution Analysis. It focuses on the causal claims Contribution Analysis aims to address, and on how these have evolved since the approach was first published by John in 1999. It first sets out four types of causality with relevance for Contribution Analysis: counterfactual, generative, INUS, and probabilistic causation. It then describes how John integrated the INUS condition and probabilistic elements into the Contribution Analysis approach, followed by how John’s thinking evolved regarding the question of whether the approach could—and should—also address counterfactual questions. The article concludes with observations on how Contribution Analysis can flexibly integrate elements from different causality types.
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来源期刊
Canadian Journal of Program Evaluation
Canadian Journal of Program Evaluation SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
1.60
自引率
25.00%
发文量
32
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