Qualitative evaluations of new scientific concepts: Accurate, fast, easy and inexpensive

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dc.contributor.authorFeetham, PMen_US
dc.contributor.authorWright, MJen_US
dc.contributor.authorTeagle, DHen_US
dc.contributor.authorComrie, MAen_US
dc.contributor.editorSinha, Aen_US
dc.contributor.editorCadeaux, Jen_US
dc.contributor.editorBucic, Ten_US
dc.coverage.spatialSydneyen_US
dc.date.accessioned2016-04-17T23:18:17Z
dc.date.accessioned2016-04-19T23:32:25Z
dc.date.available2016-02-19en_US
dc.date.finish-date2015-12-02en_US
dc.date.finish-date2015-12-02en_US
dc.date.finish-date2015-12-02en_US
dc.date.finish-date2015-12-02en_US
dc.date.finish-date2015-12-02en_US
dc.date.issued2016-02-19en_US
dc.date.start-date2015-11-30en_US
dc.date.start-date2015-11-30en_US
dc.date.start-date2015-11-30en_US
dc.date.start-date2015-11-30en_US
dc.date.start-date2015-11-30en_US
dc.description.abstractEvidence confirming the robustness of qualitative methodologies in marketing research is scarce. Instead, quantitative methodologies dominate publications in marketing journals, a stark contrast to other academic disciplines where qualitative research is the dominant approach. This research reports a case where the findings of an independent qualitative study were clearly supported by subsequent quantitative research. Applied in the context of a new technological science, the qualitative phase treated climate engineering techniques as brands with core concepts and a range of related memory associations. Attributes associated with climate engineering were elicited using Kellys’ Repertory Grid or choosing from a pre-determined list of 30 attributes during 30 depth interviews. The qualitative results illustrated an overall negative reaction to the four concepts tested with solar reflection techniques viewed more negatively than carbon dioxide removal techniques. Large online surveys across two countries gave strikingly similar results, verifying the robustness of the qualitative study.en_US
dc.description.confidentialfalseen_US
dc.description.confidentialfalseen_US
dc.description.confidentialfalseen_US
dc.description.confidentialfalseen_US
dc.description.confidentialfalseen_US
dc.description.place-of-publicationSydneyen_US
dc.description.place-of-publicationSydneyen_US
dc.description.place-of-publicationSydneyen_US
dc.description.place-of-publicationSydneyen_US
dc.description.place-of-publicationSydneyen_US
dc.format.extent317 - 325 (8)en_US
dc.identifierhttp://www.anzmac.org/_resourceitems/14558601192015-ANZMAC-Conference-Proceedings.pdfen_US
dc.identifier.citation2016, pp. 317 - 325 (8)en_US
dc.identifier.elements-id259655
dc.identifier.harvestedMassey_Dark
dc.identifier.issn1441-3582en_US
dc.publisherANZMACen_US
dc.relation.replaceshttp://hdl.handle.net/123456789/2579
dc.relation.replaces123456789/2579
dc.sourceAustralian and New Zealand Marketing Academy Conferenceen_US
dc.subjectQualitative Methodologiesen_US
dc.subjectAttribute Elicitationen_US
dc.subjectNetwork Memory Theoryen_US
dc.subjectScience Communicationen_US
dc.subjectClimate Engineeringen_US
dc.titleQualitative evaluations of new scientific concepts: Accurate, fast, easy and inexpensiveen_US
dc.typeConference Paper
pubs.notesNot knownen_US
pubs.organisational-group/MU
pubs.organisational-group/MU/College of Business
pubs.organisational-group/MU/College of Business/School of Communication, Journalism and Marketing
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