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dc.contributor.authorZeedan, Rami
dc.identifier.citationRami Zeedan (2018) Predicting the Vote in Kinship-Based Municipal Elections: The Case of Arab Cities in Israel, Journal of Muslim Minority Affairs, 38:1, 87-102, DOI: 10.1080/13602004.2018.1432149en_US
dc.descriptionThis is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Muslim Minority Affairs on 15 Feb 2018, available at:
dc.description.abstractThis paper examines the feasibility of using pre-election polls in kinship-based municipal elections in Israel, and the methods needed to increase the accuracy of predicting the results. The research focuses on the Arab society in Israel, which is an ethnic minority within a nation-state and a traditional society and that its municipal elections are characterized as kinship-based elections. The results of municipal elections in four Arab cities and towns show that pre-election polls succeeded in predicting the elections’ outcome with high accuracy. This research suggests the use of “Clan Sampling” in which the sampling is according to the sub-tribal societal structure—and further suggests applying the “Cross-Section” treatment for the undecided. Separately applying one of the two treatments gave a high level of accuracy; the accuracy further increased when applying the two methods together. By adjusting the methods used, pre-election polls were found to be accurate in predicting the vote in elections within a traditional Arab society.en_US
dc.titlePredicting the Vote in Kinship-Based Municipal Elections: The Case of Arab Cities in Israelen_US
kusw.kuauthorZeedan, Rami
kusw.kudepartmentJewish Studiesen_US
kusw.oanotesPer Sherpa Romeo 03/31/2022:

Journal of Muslim Minority Affairs [Open panel below]Publication Information TitleJournal of Muslim Minority Affairs [English] ISSNs Print: 1360-2004 Electronic: 1469-9591 URL Publishers Routledge [Commercial Publisher] Institute of Muslim Minority Affairs [Associate Organisation] [Open panel below]Publisher Policy Open Access pathways permitted by this journal's policy are listed below by article version. Click on a pathway for a more detailed view.

Published Version NoneCC BYPMC Any Website, Journal Website, +2 Accepted Version [pathway a]

18mCC BY-NCPMC Institutional Repository, Subject Repository, PMC, +4 Embargo18 Months Licence CC BY-NC CC BY-NC-ND Publisher DepositPubMed Central Location Academic Social Network Institutional Repository Named Academic Social Network (Mendeley, ResearchGate, Named Repository (PubMed Central) Subject Repository Conditions Published source must be acknowledged Must link to publisher version Set statements to accompany deposits (see policy) The publisher will deposit in on behalf of authors to a designated institutional repository, where a deposit agreement exists with the repository
dc.identifier.orcid 0000-0002-1098-1856en_US
kusw.oaversionScholarly/refereed, author accepted manuscripten_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US

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