9781108422284-1108422284-Information, Accountability, and Cumulative Learning: Lessons from Metaketa I (Cambridge Studies in Comparative Politics)

Information, Accountability, and Cumulative Learning: Lessons from Metaketa I (Cambridge Studies in Comparative Politics)

ISBN-13: 9781108422284
ISBN-10: 1108422284
Author: Thad Dunning, Macartan Humphreys, Susan D. Hyde, Guy Grossman, Craig McIntosh, Gareth Nellis
Publication date: 2019
Publisher: Cambridge University Press
Format: Hardcover 504 pages
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ISBN-13: 9781108422284
ISBN-10: 1108422284
Author: Thad Dunning, Macartan Humphreys, Susan D. Hyde, Guy Grossman, Craig McIntosh, Gareth Nellis
Publication date: 2019
Publisher: Cambridge University Press
Format: Hardcover 504 pages

Summary

Information, Accountability, and Cumulative Learning: Lessons from Metaketa I (Cambridge Studies in Comparative Politics) (ISBN-13: 9781108422284 and ISBN-10: 1108422284), written by authors Thad Dunning, Macartan Humphreys, Susan D. Hyde, Guy Grossman, Craig McIntosh, Gareth Nellis, was published by Cambridge University Press in 2019. With an overall rating of 3.9 stars, it's a notable title among other books. You can easily purchase or rent Information, Accountability, and Cumulative Learning: Lessons from Metaketa I (Cambridge Studies in Comparative Politics) (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.36.

Description

Throughout the world, voters lack access to information about politicians, government performance, and public services. Efforts to remedy these informational deficits are numerous. Yet do informational campaigns influence voter behavior and increase democratic accountability? Through the first project of the Metaketa Initiative, sponsored by the Evidence in Governance and Politics (EGAP) research network, this book aims to address this substantive question and at the same time introduce a new model for cumulative learning that increases coordination among otherwise independent researcher teams. It presents the overall results (using meta-analysis) from six independently conducted but coordinated field experimental studies, the results from each individual study, and the findings from a related evaluation of whether practitioners utilize this information as expected. It also discusses lessons learned from EGAP's efforts to coordinate field experiments, increase replication of theoretically important studies across contexts, and increase the external validity of field experimental research.

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