Please use this identifier to cite or link to this item: https://hdl.handle.net/10620/17591
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dc.contributor.authorWatson, Nen
dc.contributor.authorWilkins, Ren
dc.date.accessioned2019-04-13T03:36:30Zen
dc.date.accessioned2012-09-27T04:47:03Zen
dc.date.available2012-09-27T04:47:03Zen
dc.date.issued2012-05en
dc.identifier.isbnISSN 1328-4991 (Print), ISSN 1447-5863 (Online), ISBN 978-0-7340-4270-5en
dc.identifier.urihttps://hdl.handle.net/10620/17591en
dc.identifier.urihttp://hdl.handle.net/10620/3725en
dc.description.abstractComputer-assisted personal interviewing (CAPI) offers many attractive benefits over paper and pencil interviewing. There is, however, mixed evidence on the impact of CAPI on interview length, an important survey outcome in the context of length limits imposed by survey budgets and concerns over respondent burden. In this paper, recent data from a large, nationally representative panel study is used to investigate CAPI’s impact on interview length. A key feature of our analysis is that, through use of both experimental and quasiexperimental evidence, we examine the roles played by specific factors which, while typically associated with CAPI, vary in their extent and nature from study to study. We find that effects very much depend on how CAPI is implemented: the hardware and software adopted, the extent and nature of the dependent data introduced, and even interviewer workloads, can all have large influences on the CAPI impact—a finding that helps explain the conflicting results from previous studies. Overall, we conclude that, absent dependent data, CAPI will almost certainly increase interview lengths. However, the potential reductions in interview length from dependent data are very large, such that even modest levels of dependent data can lead to net reductions in interview lengths.en
dc.subjectSurveys and Survey Methodologyen
dc.subject.classificationSurveys and Survey Methodologyen
dc.titleThe Impact of Computer-Assisted Interviewing on Interview Lengthen
dc.typeReports and technical papersen
dc.typeTechnical working papers and reportsen
dc.identifier.urlhttp://www.melbourneinstitute.com/miaesr/publications/working-paper-series/wps2012.htmlen
dc.identifier.surveyHILDAen
dc.description.institutionMelbourne Institute of Applied Economic and Social Researchen
dc.title.reportMelbourne Institute Working Paper Seriesen
dc.identifier.rishttp://flosse.dss.gov.au//ris.php?id=4143en
dc.description.keywordsdependent dataen
dc.description.keywordslearning effectsen
dc.description.keywordsComputer-assisted methodsen
dc.description.keywordsinterview length decompositionen
dc.description.pages22en
local.identifier.id4143en
dc.publisher.cityMelbourneen
dc.subject.dssSurveys and survey methodologyen
dc.subject.dssmaincategorySurveys and Survey Methodologyen
dc.subject.flosseSurveys and Survey Methodologyen
dc.relation.surveyHILDAen
dc.old.surveyvalueHILDAen
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