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Good item or bad—can latent class analysis tell?: the utility of latent class analysis for the evaluation of survey questions
dc.contributor.authorKreuter, Fraukeen_US
dc.contributor.authorYan, Tingen_US
dc.contributor.authorTourangeau, Rogeren_US
dc.date.accessioned2010-06-01T18:26:59Z
dc.date.available2010-06-01T18:26:59Z
dc.date.issued2008-06en_US
dc.identifier.citationKreuter, Frauke; Yan, Ting; Tourangeau, Roger (2008). "Good item or bad—can latent class analysis tell?: the utility of latent class analysis for the evaluation of survey questions." Journal of the Royal Statistical Society: Series A (Statistics in Society) 171(3): 723-738. <http://hdl.handle.net/2027.42/71657>en_US
dc.identifier.issn0964-1998en_US
dc.identifier.issn1467-985Xen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/71657
dc.format.extent594983 bytes
dc.format.extent3109 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherBlackwell Publishing Ltden_US
dc.rights© 2008 The Royal Statistical Society and Blackwell Publishing Ltden_US
dc.subject.otherItem Developmenten_US
dc.subject.otherLatent Class Analysisen_US
dc.subject.otherQuestionnaire Designen_US
dc.titleGood item or bad—can latent class analysis tell?: the utility of latent class analysis for the evaluation of survey questionsen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michigan, Ann Arbor, and University of Maryland, College Park, USAen_US
dc.contributor.affiliationotherUniversity of Maryland, College Park, USAen_US
dc.contributor.affiliationotherNational Opinion Research Center, Chicago, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/71657/1/j.1467-985X.2007.00530.x.pdf
dc.identifier.doi10.1111/j.1467-985X.2007.00530.xen_US
dc.identifier.sourceJournal of the Royal Statistical Society: Series A (Statistics in Society)en_US
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dc.identifier.citedreferenceBiemer, P. P. ( 2004 ) Modeling measurement error to identify flawed questions. In Methods for Testing and Evaluating Survey Questionnaires ( eds S. Presser, J. Rothgeb, M. Couper, J. Lessler, E. Martin, J. Martin and E. Singer ), pp. 225 – 246. New York: Wiley.en_US
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dc.identifier.citedreferencePresser, S., Rothgeb, J., Couper, M., Lessler, J., Martin, E., Martin, J. and Singer, E. ( eds ) ( 2004 ) Methods for Testing and Evaluating Survey Questionnaires. New York: Wiley.en_US
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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