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[journal article]

dc.contributor.authorMuskat, Matthias
dc.contributor.authorBlackman, Deborah
dc.contributor.authorMuskat, Birgit
dc.date.accessioned2017-01-31T13:06:20Z
dc.date.available2017-01-31T13:06:20Z
dc.date.issued2012
dc.identifier.issn1477-7029
dc.identifier.urihttp://www.ssoar.info/ssoar/handle/document/50241
dc.description.abstractThe article depicts a mixed methodology case which uses a qualitative-quantitative-qualitative approach. The research described used qualitative work with expert interviews for data collection, a quantitative analysis of the interviews and then a qualitative method of final scenario development for analysing and presenting the results. The case is offered to demonstrate that the introduction of the quantitative step of a cross- impact-analysis, which gives a mixed methodology, was beneficial for the overall research leading to surprising results that could not have been achieved with only a qualitative approach. Having a quantitative analysis step in- between, which demonstrated the most frequent and consistent results out of a wide range of overall possibilities, helped reduce researcher bias, thereby increasing the credibility of the findings. The paper concludes that judiciously used mixed methodology in general, and this approach in particular, will give researchers using qualitative data collection a much stronger foundation in terms of the analysis and display of data.en
dc.languageen
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.othermixed methods; expert interviews; cross-impact analysis; scenario building
dc.titleMixed methods: combining expert interviews, cross-impact analysis and scenario development
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalElectronic journal of business research methods
dc.source.volume10
dc.publisher.countryGBR
dc.source.issue1
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozresearchen
dc.subject.thesozquantitative Methodede
dc.subject.thesozmethodologyen
dc.subject.thesozDatengewinnungde
dc.subject.thesozSzenariode
dc.subject.thesozquantitative methoden
dc.subject.thesozMethodologiede
dc.subject.thesozinterviewen
dc.subject.thesozdataen
dc.subject.thesozqualitative methoden
dc.subject.thesozanalysisen
dc.subject.thesozMethodede
dc.subject.thesozmethoden
dc.subject.thesozInterviewde
dc.subject.thesozqualitative Methodede
dc.subject.thesozForschungde
dc.subject.thesozdata captureen
dc.subject.thesozAnalysede
dc.subject.thesozDatende
dc.subject.thesozscenarioen
dc.identifier.urnurn:nbn:de:0168-ssoar-50241-5
dc.rights.licenceCreative Commons - Namensnennungde
dc.rights.licenceCreative Commons - Attributionen
internal.statusnoch nicht fertig erschlossen
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dc.type.stockarticle
dc.type.documentjournal articleen
dc.type.documentZeitschriftenartikelde
dc.source.pageinfo9–21
internal.identifier.classoz10105
internal.identifier.document32
internal.identifier.ddc300
dc.description.pubstatusPublished Versionen
dc.description.pubstatusVeröffentlichungsversionde
internal.identifier.licence1
internal.identifier.pubstatus1
internal.identifier.review1
dc.subject.classhort10300
dc.subject.classhort20400
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dc.subject.classhort29900
internal.pdf.version1.4
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internal.pdf.wellformedtrue
internal.check.abstractlanguageharmonizerCERTAIN
internal.check.languageharmonizerCERTAIN_RETAINED


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