Matching pre-processing of splitballot survey data for the analysis of double standards

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• dc.contributor.author Arpino, Brunoca
• dc.date.accessioned 2017-04-05T11:14:42Z
• dc.date.available 2017-04-05T11:14:42Z
• dc.date.issued 2016-02
• dc.description.abstract Split-ballot data are often used to study double standards. The key problem of this design is that individual double standards cannot be identified. We propose a simple two-step approach based on a matching pre-processing of the data to estimate individual double standards. Once this preliminary first step is completed, any statistical technique (e.g., regression models) can be applied on the new data. We illustrate the method with an application concerning gender double standards on attitudes toward age at leaving home using data from the third round of the European Social Survey. We show that the proposed method simplifies regression analyses of the effects of covariates on double standards and offers new opportunities for research on double standards.ca
• dc.format.mimetype application/pdfca
• dc.identifier.uri http://hdl.handle.net/10230/30799
• dc.language.iso engca
• dc.relation.ispartofseries RECSM Working Paper Series;47
• dc.rights This is an Open Access article distributed under the terms of the Creative Commons Attribution License Creative Commons Attribution 4.0 International, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properlyattributed.ca
• dc.rights.accessRights info:eu-repo/semantics/openAccessca
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/ca
• dc.subject.keyword Matching
• dc.subject.keyword Double standards
• dc.subject.keyword Split-ballot design
• dc.subject.keyword Gender
• dc.subject.keyword European Social Survey
• dc.title Matching pre-processing of splitballot survey data for the analysis of double standardsca
• dc.type info:eu-repo/semantics/workingPaperca