Information, accountability, and cumulative learning : lessons from Metaketa I /

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 proje...

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Bibliographic Details
Main Author: Dunning, Thad, 1973- (Author)
Other Authors: Grossman, Guy (Editor), Humphreys, Macartan (Editor), Hyde, Susan D. (Editor), McIntosh, Craig (Editor), Nellis, Gareth (Editor)
Format: Electronic eBook
Language:English
Published: Cambridge : Cambridge University Press, 2019.
Series:Cambridge studies in comparative politics.
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Online Access:CONNECT
Description
Summary: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.
Item Description:Title from publisher's bibliographic system (viewed on 05 Jul 2019).
Physical Description:1 online resource (xxxi, 464 pages) : digital, PDF file(s).
ISBN:9781108381390 (ebook)