Decomposition can harm the accuracy of behavioural frequency reports
dc.contributor.author | Belli, Robert F. | en_US |
dc.contributor.author | Schwarz, Norbert | en_US |
dc.contributor.author | Singer, Eleanor | en_US |
dc.contributor.author | Talarico, Jennifer | en_US |
dc.date.accessioned | 2006-04-19T14:04:10Z | |
dc.date.available | 2006-04-19T14:04:10Z | |
dc.date.issued | 2000-07 | en_US |
dc.identifier.citation | Belli, Robert F.; Schwarz, Norbert; Singer, Eleanor; Talarico, Jennifer (2000)."Decomposition can harm the accuracy of behavioural frequency reports." Applied Cognitive Psychology 14(4): 295-308. <http://hdl.handle.net/2027.42/35010> | en_US |
dc.identifier.issn | 0888-4080 | en_US |
dc.identifier.issn | 1099-0720 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/35010 | |
dc.description.abstract | In survey research, the use of decomposition can lead to pronounced reporting errors as seen by overreporting and overall reporting error. A total of 87 subjects answered either decomposed or undecomposed questions concerning telephone calls made by them while at work. The questionnaire conditions varied the length of the reference period (1 week or 6 months), and the type of call (local or long-distance). Decomposition conditions introduced either spatial or temporal cues. In all comparisons, decomposed questions increased overreporting bias relative to undecomposed questions. In addition, undecomposed questions with a 1-week reference period led to increased overreporting bias in comparison to undecomposed/6-month questions. Results are consistent with a category split estimation model in which smaller categories are predicted to lead to overreporting, and larger categories to underreporting. Decomposition is not recommended for gaining retrospective reports of non-distinctive, frequent events. Copyright © 2000 John Wiley & Sons, Ltd. | en_US |
dc.format.extent | 129423 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | John Wiley & Sons, Ltd. | en_US |
dc.subject.other | Psychology | en_US |
dc.title | Decomposition can harm the accuracy of behavioural frequency reports | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Psychology | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | University of Michigan, USA ; Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48106-1248, USA. | en_US |
dc.contributor.affiliationum | University of Michigan, USA | en_US |
dc.contributor.affiliationum | University of Michigan, USA | en_US |
dc.contributor.affiliationum | University of Michigan, USA | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/35010/1/646_ftp.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1002/1099-0720(200007/08)14:4<295::AID-ACP646>3.0.CO;2-1 | en_US |
dc.identifier.source | Applied Cognitive Psychology | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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