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Things you Wanted to Know about Bias in Evaluations but Never Dared to Think

机译:你想知道关于评估中的偏见但从未敢于思考的事情

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摘要

The thrust for evidence?based policymaking has paid little attention to problems of bias. Statistical evidence is more fragile than generally understood, and false positives are all too likely given the incentives of policymakers and academic and professional evaluators. Well?known cognitive biases make bias likely for not dissimilar reasons in qualitative and mixed methods evaluations. What we term delinquent organisational isomorphism promotes purportedly scientific evaluations in inappropriate institutional contexts, intensifying motivated reasoning and avoidance of cognitive dissonance. This leads to states of denial with regard to the validity of much evaluation activity. Independent replications, revisits and restudies, together with codes of ethics that relate to professional integrity, may mitigate these problems.
机译:以证据为基础的政策制定工作很少关注偏见问题。统计证据比一般理解的更为脆弱,并且由于政策制定者以及学术和专业评估人员的激励,误报极有可能发生。众所周知的认知偏见使定性和混合方法评估中出于不同原因而产生偏见的可能性很大。我们所谓的不良组织同构,据称可以在不适当的机构环境中促进科学评估,从而增强动机性推理并避免认知失调。这导致许多评估活动的有效性遭到否认。独立的复制,重访和重读,以及与职业操守有关的道德守则,可以缓解这些问题。

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