A Framework for the Meta-Analysis of Survey Data

dc.contributor.authorFox, Karla Michelle Phillips Cooperen
dc.contributor.departmentMathematics and Statisticsen
dc.contributor.supervisorDay, Troyen
dc.contributor.supervisorSteinsaltz, Daviden
dc.date2011-12-06 10:57:09.449
dc.date2011-12-06 15:11:24.717
dc.date.accessioned2011-12-06T20:17:45Z
dc.date.available2011-12-06T20:17:45Z
dc.date.issued2011-12-06
dc.degree.grantorQueen's University at Kingstonen
dc.descriptionThesis (Ph.D, Mathematics & Statistics) -- Queen's University, 2011-12-06 15:11:24.717en
dc.description.abstractThe research outlined in this thesis covers various different statistical issues relating to meta-analysis of survey data. These issues include the creation of an original comprehensive methodological framework for combining survey data, a comparison of this framework with the traditional one proposed by Cochran for the combination of experiments, a proposal for a new weighting method that takes into account the differences in variability due to the sampling plan, an examination of the convergence of meta-analytic estimators, and a discussion on the numerous implicit assumptions researchers make when they are using meta-analysis methods with survey data along with guidelines for completing and reporting reviews when the data come from surveys.en
dc.description.degreePhDen
dc.identifier.urihttp://hdl.handle.net/1974/6900
dc.language.isoengen
dc.relation.ispartofseriesCanadian thesesen
dc.rightsThis publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.en
dc.subjectMeta-Analysisen
dc.subjectCombining Surveysen
dc.titleA Framework for the Meta-Analysis of Survey Dataen
dc.typethesisen
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