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dc.contributor.authorCernat, Alexandru; orcid: 0000-0003-2176-1215; email: alexandru.cernat@manchester.ac.uk
dc.contributor.authorOberski, Daniel L.; orcid: 0000-0001-7467-2297
dc.date.accessioned2021-10-13T07:26:29Z
dc.date.available2021-10-13T07:26:29Z
dc.date.issued2021-10-12
dc.date.submitted2018-09-17
dc.identifierhttps://chesterrep.openrepository.com/bitstream/handle/10034/626090/rssa.12733.xml?sequence=2
dc.identifierhttps://chesterrep.openrepository.com/bitstream/handle/10034/626090/rssa.12733.pdf?sequence=3
dc.identifier.citationJournal of the Royal Statistical Society: Series A (Statistics in Society)
dc.identifier.urihttp://hdl.handle.net/10034/626090
dc.descriptionFrom Wiley via Jisc Publications Router
dc.descriptionHistory: received 2018-09-17, rev-recd 2021-01-26, accepted 2021-05-30, pub-electronic 2021-10-12
dc.descriptionArticle version: VoR
dc.descriptionPublication status: Published
dc.descriptionFunder: ESRC National Centre for Research Methods, University of Southampton; Id: http://dx.doi.org/10.13039/501100000613; Grant(s): R121711
dc.description.abstractAbstract: Surveys are well known to contain response errors of different types, including acquiescence, social desirability, common method variance and random error simultaneously. Nevertheless, a single error source at a time is all that most methods developed to estimate and correct for such errors consider in practice. Consequently, estimation of response errors is inefficient, their relative importance is unknown and the optimal question format may not be discoverable. To remedy this situation, we demonstrate how multiple types of errors can be estimated concurrently with the recently introduced ‘multitrait‐multierror’ (MTME) approach. MTME combines the theory of design of experiments with latent variable modelling to estimate response error variances of different error types simultaneously. This allows researchers to evaluate which errors are most impactful, and aids in the discovery of optimal question formats. We apply this approach using representative data from the United Kingdom to six survey items measuring attitudes towards immigrants that are commonly used across public opinion studies.
dc.languageen
dc.rightsLicence for VoR version of this article: http://creativecommons.org/licenses/by-nc/4.0/
dc.sourceissn: 0964-1998
dc.sourceissn: 1467-985X
dc.subjectORIGINAL ARTICLE
dc.subjectORIGINAL ARTICLES
dc.subjectattitudes towards immigrants
dc.subjectdesign of experiments (DoE)
dc.subjectlatent variable modelling
dc.subjectmeasurement error
dc.subjectmultitrait
dc.titleEstimating stochastic survey response errors using the multitrait‐multierror model
dc.typearticle
dc.date.updated2021-10-13T07:26:29Z
dc.date.accepted2021-05-30


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