Clive Nancarrow Clive.Nancarrow@uwe.ac.uk
Professor Emeritus
Engaging the right mindset in qualitative marketing research
Nancarrow, Clive; Barker, Andy; Tiu Wright, Len
Authors
Andy Barker
Len Tiu Wright
Abstract
Addresses the need in qualitative market research to consider how best to sample and recruit the right mindsets (respondents) and, if appropriate, prime these for subsequent interviews to maximise insight. Discusses models that might direct recruitment and some of the myths of good recruitment practice and argues for a more eclectic use of different approaches depending on the nature of the research problem. Provides examples of how pre-tasking can benefit the qualitative research interview and argues the case for post-tasking to maximise insight as well as provide a greater degree of confidence in the findings and as a source of professional development. © 2001, MCB UP Limited
Journal Article Type | Article |
---|---|
Publication Date | Jul 1, 2001 |
Deposit Date | Jan 20, 2020 |
Journal | Marketing Intelligence & Planning |
Print ISSN | 0263-4503 |
Publisher | Emerald |
Peer Reviewed | Not Peer Reviewed |
Volume | 19 |
Issue | 4 |
Pages | 236-243 |
DOI | https://doi.org/10.1108/EUM0000000005561 |
Public URL | https://uwe-repository.worktribe.com/output/5184538 |
Publisher URL | https://www.emerald.com/insight/content/doi/10.1108/EUM0000000005561/full/html |
You might also like
Online access panels for surveys on public health and epidemiology
(2014)
Preprint / Working Paper
Support and compliance with 20 mph speed limits in Great Britain
(2015)
Journal Article
Great Britain adults' opinions on cycling: Implications for policy
(2016)
Journal Article
Profiling key purchase influencers: Those perceived as consumer savvy
(2011)
Journal Article
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search