Analysis of categorical multiple response variables in marketing research

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dc.creator Malhotra, Shavin
dc.creator Brown, Allen
dc.date.accessioned 2014-01-10T19:19:22Z
dc.date.available 2014-01-10T19:19:22Z
dc.date.issued 2006
dc.identifier http://library2.smu.ca/bitstream/handle/01/25404/asb_proceedings_2006.pdf#page=168
dc.identifier.uri http://library2.smu.ca/xmlui/handle/01/25547
dc.description.abstract Multiple Response Data (MRD) can be defined as the set of answers to a question that allows the respondent to pick more than one response, also known as a pick any/J format. Such questions have become very popular for marketing research, and are frequently encountered in the analysis of survey data . Although widely used, the analysis of these types of responses is becoming increasingly complex. The purpose of this paper is to examine the underlying issues and subsequent solutions for dealing with aggregated MRD. The paper also presents a summary of benefits and drawbacks associated with different analytical methods. en_CA
dc.description.provenance Submitted by Trish Grelot (trish.grelot@smu.ca) on 2014-01-10T19:19:22Z No. of bitstreams: 0 en
dc.description.provenance Made available in DSpace on 2014-01-10T19:19:22Z (GMT). No. of bitstreams: 0 Previous issue date: 2006 en
dc.language.iso en en_CA
dc.publisher Atlantic Schools of Business en_CA
dc.subject.lcsh Marketing research
dc.title Analysis of categorical multiple response variables in marketing research en_CA
dc.type Text en_CA
dcterms.bibliographicCitation Proceedings of the Atlantic Schools of Business 36th annual conference, Mount Allison University, September 29th to October 1st, 2006, pp 168-176
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