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Are there really shortcuts? estimating seat belt use with self-report measures

dc.contributor.authorStreff, Fredrick M.en_US
dc.contributor.authorWagenaar, Alexander C.en_US
dc.date.accessioned2006-04-07T20:38:24Z
dc.date.available2006-04-07T20:38:24Z
dc.date.issued1989-12en_US
dc.identifier.citationStreff, Fredrick M., Wagenaar, Alexander C. (1989/12)."Are there really shortcuts? estimating seat belt use with self-report measures." Accident Analysis &amp; Prevention 21(6): 509-516. <http://hdl.handle.net/2027.42/27668>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6V5S-468C5NS-4N/2/4901d9fc8c2e381af165b11627a104d0en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/27668
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=2629759&dopt=citationen_US
dc.description.abstractWe examined the utility of estimating rates of automobile seat belt use with selfreport measures. Self-report measures overestimate belt use rates compared to observational surveys of the same population. Laws mandating seat belt use did not substantially affect the degree to which self-reports are upwardly biased. We found self-report measures overestimate observed belt use by 8.9 to 19.4 percentage points or by a factor of 1.2 to 2. Our best estimate is that self-reported seat belt use rates be discounted by 12 percentage points to estimate actual belt use rates.en_US
dc.format.extent767594 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleAre there really shortcuts? estimating seat belt use with self-report measuresen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumThe University of Michigan, Transportation Research Institute, Ann Arbor, MI 48109-2150, U.S.A.en_US
dc.contributor.affiliationumThe University of Michigan, Transportation Research Institute, Ann Arbor, MI 48109-2150, U.S.A.en_US
dc.identifier.pmid2629759en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/27668/1/0000050.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0001-4575(89)90066-3en_US
dc.identifier.sourceAccident Analysis &amp; Preventionen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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