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No-Opinion Filters and Attitude Measurement Reliability
dc.contributor.authorMcClendon, McKeeen_US
dc.contributor.authorAlwin, Duane F.en_US
dc.date.accessioned2010-04-14T14:18:14Z
dc.date.available2010-04-14T14:18:14Z
dc.date.issued1993en_US
dc.identifier.citationMcCLENDON, McKEE; ALWIN, DUANE (1993). "No-Opinion Filters and Attitude Measurement Reliability." Sociological Methods & Research 4(21): 438-464. <http://hdl.handle.net/2027.42/69099>en_US
dc.identifier.issn0049-1241en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/69099
dc.description.abstractMany survey researchers believe that the quality of answers to attitude questions may be improved by using no-opinion filters to remove those responses that are not based on true opinions. The authors investigate whether reliability, one aspect of data quality, is greater for filtered questions. Split-ballot experiments from two telephone surveys of the Akron, Ohio metropolitan area are used to estimate the effect of filtered questions on the reliability of items from Srole's anomia scale, Rosenberg's self-esteem scale, and a scale of attitudes toward lawyers. There is no evidence that filtered questions improve reliability, and in the case of self-esteem, reliability may be reduced on the filtered form.en_US
dc.format.extent3108 bytes
dc.format.extent2415127 bytes
dc.format.mimetypetext/plain
dc.format.mimetypeapplication/pdf
dc.publisherSAGE PERIODICALS PRESSen_US
dc.titleNo-Opinion Filters and Attitude Measurement Reliabilityen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelSociologyen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michiganen_US
dc.contributor.affiliationotherUniversity of Akronen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/69099/2/10.1177_0049124193021004002.pdf
dc.identifier.doi10.1177/0049124193021004002en_US
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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