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• W4384343335 abstract "Abstract Governments spend hundreds of millions on evaluations to assess the performance of public organizations. In this article, we scrutinize whether variation in the institutional design of evaluation systems leads to biases in evaluation findings. Biases may emerge because influence over evaluation processes could enable the bureaucracy to present its work in a more positive way. We study evaluation reports published by nine international organizations (IOs) of the United Nations system. We use deep learning to measure the share of positive assessments at the sentence level per evaluation report as a proxy for the positivity of evaluation results. Analyzing 1082 evaluation reports, we find that reports commissioned by operative units, as compared to central evaluation units, systematically contain more positive assessments. Theoretically, this link between institutional design choices and evaluation outcomes may explain why policymakers perceive similar tools for evidence‐based policymaking as functional in some organizations, and politicized in others." @default.
• W4384343335 created "2023-07-15" @default.
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• W4384343335 date "2023-08-10" @default.
• W4384343335 modified "2023-10-01" @default.
• W4384343335 title "Institutional design and biases in evaluation reports by international organizations" @default.
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• W4384343335 doi "https://doi.org/10.1111/puar.13705" @default.
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