Please use this identifier to cite or link to this item: http://saruna.mnu.edu.mv/jspui/handle/123456789/8858
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dc.contributor.authorRaimondo, Estelle-
dc.date.accessioned2021-03-01T08:11:02Z-
dc.date.available2021-03-01T08:11:02Z-
dc.date.issued2020-06-10-
dc.identifier.citationRaimondo, E. (2020). Getting practical with causal mechanisms : the application of process-tracing under real-world evaluation constraints. New Directions for Evaluation, 167.en_US
dc.identifier.urihttp://saruna.mnu.edu.mv/jspui/handle/123456789/8858-
dc.description.abstractOver the past decade, the field of development evaluation has seen a renewed interest in methodological approaches that can answer compelling causal questions about what works, for whom, and why. Development evaluators have notably started to experiment with Bayesian Process Tracing to unpack, test, and enhance their comprehension of causal mechanisms triggered by development interventions. This paper conveys one such experience of applying Bayesian Process Tracing to the study of citizen engagement interventions within a conditional cash transfer program under real-world evaluation conditions. The paper builds on this experience to discuss the benefits, challenges, and potential for the applicability of this approach under real-world evaluation conditions of time, money, and political constraints.en_US
dc.language.isoenen_US
dc.publisherWorld Banken_US
dc.titleGetting practical with causal mechanisms : the application of process-tracing under real-world evaluation constraintsen_US
dc.typeArticleen_US
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