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- <meta content="Green, Julie" name="eprints.creators_name" />
- <meta content="Willis, Karen" name="eprints.creators_name" />
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- <meta content="2007-12-13 03:59:04" name="eprints.datestamp" />
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- <meta content="Generating best evidence from qualitative research: the role of data analysis" name="eprints.title" />
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- analysis; interviews; evidence; theory." name="eprints.keywords" />
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- <meta content="Objective: To outline the importance of
- the clarity of data analysis in the doing and
- reporting of interview-based qualitative
- research.
- Approach: We explore the clear links
- between data analysis and evidence.
- We argue that transparency in the data
- analysis process is integral to determining
- the evidence that is generated. Data
- analysis must occur concurrently with
- data collection and comprises an ongoing
- process of ‘testing the fit’ between the
- data collected and analysis. We discuss
- four steps in the process of thematic data
- analysis: immersion, coding, categorising
- and generation of themes.
- Conclusion: Rigorous and systematic
- analysis of qualitative data is integral to
- the production of high-quality research.
- Studies that give an explicit account of the
- data analysis process provide insights into
- how conclusions are reached while studies
- that explain themes anchored to data and
- theory produce the strongest evidence." name="eprints.abstract" />
- <meta content="2007" name="eprints.date" />
- <meta content="published" name="eprints.date_type" />
- <meta content="Austalian and New Zealand Journal of Public Health" name="eprints.publication" />
- <meta content="31" name="eprints.volume" />
- <meta content="6" name="eprints.number" />
- <meta content="545-550" name="eprints.pagerange" />
- <meta content="10.1111/j.1753-6405.2007.00141.x" name="eprints.id_number" />
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- <meta content="http://dx.doi.org/10.1111/j.1753-6405.2007.00141.x" name="eprints.official_url" />
- <meta content="1. Becker S, Bryman A, Sempik J. Defining ‘Quality’ in Social Policy Research:
- Views, Perceptions and a Framework for Discussion [publications page on the
- Internet]. Suffolk (UK): Social Policy Association; 2006 [cited 2006 Aug 9].
- Available from: http://www.social-policy.com/documents/spaquality06.pdf
- 2. Spencer L, Ritchie J, Lewis J, Dillon L. Quality in Qualitative Evaluation: a
- Framework for Assessing Research Evidence. London (UK): The Government
- Chief Social Researcher’s Office; 2003.
- 3. Sandelowski M, Barroso J. Classifying the findings of qualitative studies. Qual
- Health Res. 2003;13:905-23.
- 4. Daly J, Willis K, Small R, Green J, et al. Assessing qualitative research in health
- – a hierarchy of evidence-for-practice, J Clin Epidemiol. 2007;60:43-9.
- 5. Ezzy D. Qualitative Analysis: Practice and Innovation. Sydney (AUST): Allen
- & Unwin; 2002.
- 6. Willis K, Daly J, Kealy M, Small R, et al. The essential role of social theory
- in qualitative public health research. Aust N Z J Public Health. 2007;31(5):
- 438-43.
- 7. Gibbs L, Kealy M, Willis K, Green J, et al. What have sampling and data
- collection got to do with good qualitative research? Aust N Z J Public Health.
- 2007;31(6)540-4.
- 8. Neuman WL. Social Research Methods: Qualitative and Quantitative
- Approaches. 4th ed. Boston (MA): Allyn & Bacon; 2006. p. 458.
- 9. Frank A. The Wounded Story Teller: Body, Illness and Ethics. Chicago (ILL):
- University of Chicago Press; 1995.
- 10. Gillen J, Petersen A. Discourse analysis. In: Somekh B, Lewin C, editors.
- Research Methods in the Social Sciences. London (UK): Sage; 2005.
- 11. Denzin NK, Lincoln YS. The discipline and practice of qualitative research.
- In: Denzin NK, Lincoln YS, editors. Handbook of Qualitative Research. 2nd
- ed. Thousand Oaks (CA): Sage; 2000. p. 1-28.
- 12. Rapley T. Interviews. In: Seale C, Gobo G, Gubrium J, Silverman D, editor.
- Qualitative Research Practice. London (UK): Sage; 2004. p. 15-33.
- 13. Denzin NK, Lincoln YS, editors. Strategies of Qualitative Inquiry. Thousands
- Oaks (CA): Sage; 2003.
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- methodology project. Qual Health Res. 2003;13(6):781-820.
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- component in qualitative research. Qual Health Res. 2002;12(3):388-98.
- 24. Ryan G, Russell BH. Data management and analysis methods. In: Denzin NK,
- Lincoln YS, editors. Handbook of Qualitative Research. 2nd ed. Thousands
- Oaks (CA): Sage; 2000. p. 769-802.
- 25. Glaser B. Theoretical Sensitivity. Mill Valley (CA): Sociology Press; 1978.
- 26. Bradley EH, Curry LA, Devers KJ. Qualitative data analysis for health
- services research: developing taxonomy, themes and theory. Health Serv Res.
- 2007;42(4):1758-72.
- 27. Huberman A, Miles M. Data Management and Analysis Methods. In: Denzin
- NK, Lincoln YS, editors. Handbook of Qualitative Research. 1st ed. Thousand
- Oaks (CA): Sage; 1994.
- 28. Porter M, Bhattacharya S, van Teijlingen E. Unfulfilled expectations: How
- circumstances impinge on women’s reproductive choices. Soc Sci Med.
- 2006;62:1757-67.
- 29. Hepworth J, Murtagh M. Correct procedures and cutting corners: a qualitative
- study of women’s occupational health and safety in a beauty therapy industry.
- Aust N Z J Public Health. 2005;29:555-7.
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- box: the unpredictability of reassurance by a normal test result. Br Med J.
- 1996;313:329-32.
- 31. Pope C, Ziebland S, Mays N. Qualitative research in health care: Analysing
- qualitative data. Br Med J. 2000;320(7227):114-16.
- 32. Everingham C, Heading G, Connor L. Couples experiences of postnatal
- depression: A framing analysis of cultural identity, gender and communication.
- Soc Sci Med. 2006;62:1745-56.
- 33. Silverman D. Telling convincing stories. In: Glassner B, Moreno J, editors.
- The Qualitative-Quantitative Distinction in the Social Sciences. London (UK):
- Kluwer; 1989. p. 57-77.
- 34. Corbin J, Strauss A. Managing chronic illness at home: Three lines of work.
- Qualitative Sociology. 1985;8(3):224-47.
- 35. Potts A, Gavey N, Grace VM, Vares T. The downside of Viagra: women’s
- experiences and concerns. Sociol Health Illn. 2003;25(7):697-719.
- 36. Barbour R. Checklists for improving rigour in qualitative research: a case of
- the tail wagging the dog? Br Med J. 2001;322:1115-17." name="eprints.referencetext" />
- <meta content="Green, Julie and Willis, Karen and Hughes, Emma and Small, Rhonda and Welch, Nicky and Gibbs, Lisa and Daly, Jeanne (2007) Generating best evidence from qualitative research: the role of data analysis. Austalian and New Zealand Journal of Public Health, 31 (6). pp. 545-550. ISSN 1326-0200" name="eprints.citation" />
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- <meta content="Objective: To outline the importance of
- the clarity of data analysis in the doing and
- reporting of interview-based qualitative
- research.
- Approach: We explore the clear links
- between data analysis and evidence.
- We argue that transparency in the data
- analysis process is integral to determining
- the evidence that is generated. Data
- analysis must occur concurrently with
- data collection and comprises an ongoing
- process of ‘testing the fit’ between the
- data collected and analysis. We discuss
- four steps in the process of thematic data
- analysis: immersion, coding, categorising
- and generation of themes.
- Conclusion: Rigorous and systematic
- analysis of qualitative data is integral to
- the production of high-quality research.
- Studies that give an explicit account of the
- data analysis process provide insights into
- how conclusions are reached while studies
- that explain themes anchored to data and
- theory produce the strongest evidence." name="DC.description" />
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- <h1 class="ep_tm_pagetitle">Generating best evidence from qualitative research: the role of data analysis</h1>
- <p style="margin-bottom: 1em" class="not_ep_block"><span class="person_name">Green, Julie</span> and <span class="person_name">Willis, Karen</span> and <span class="person_name">Hughes, Emma</span> and <span class="person_name">Small, Rhonda</span> and <span class="person_name">Welch, Nicky</span> and <span class="person_name">Gibbs, Lisa</span> and <span class="person_name">Daly, Jeanne</span> (2007) <xhtml:em>Generating best evidence from qualitative research: the role of data analysis.</xhtml:em> Austalian and New Zealand Journal of Public Health, 31 (6). pp. 545-550. ISSN 1326-0200</p><p style="margin-bottom: 1em" class="not_ep_block"></p><table style="margin-bottom: 1em" class="not_ep_block"><tr><td valign="top" style="text-align:center"><a href="http://eprints.utas.edu.au/2671/1/Green_et_al_Analysis_paper_ANZJPH.pdf"><img alt="[img]" src="http://eprints.utas.edu.au/style/images/fileicons/application_pdf.png" class="ep_doc_icon" border="0" /></a></td><td valign="top"><a href="http://eprints.utas.edu.au/2671/1/Green_et_al_Analysis_paper_ANZJPH.pdf"><span class="ep_document_citation">PDF</span></a> - Full text restricted - Requires a PDF viewer<br />240Kb</td><td><form method="get" accept-charset="utf-8" action="http://eprints.utas.edu.au/cgi/request_doc"><input accept-charset="utf-8" value="3529" name="docid" type="hidden" /><div class=""><input value="Request a copy" name="_action_null" class="ep_form_action_button" onclick="return EPJS_button_pushed( '_action_null' )" type="submit" /> </div></form></td></tr></table><p style="margin-bottom: 1em" class="not_ep_block">Official URL: <a href="http://dx.doi.org/10.1111/j.1753-6405.2007.00141.x">http://dx.doi.org/10.1111/j.1753-6405.2007.00141.x</a></p><div class="not_ep_block"><h2>Abstract</h2><p style="padding-bottom: 16px; text-align: left; margin: 1em auto 0em auto">Objective: To outline the importance of
- the clarity of data analysis in the doing and
- reporting of interview-based qualitative
- research.
- Approach: We explore the clear links
- between data analysis and evidence.
- We argue that transparency in the data
- analysis process is integral to determining
- the evidence that is generated. Data
- analysis must occur concurrently with
- data collection and comprises an ongoing
- process of ‘testing the fit’ between the
- data collected and analysis. We discuss
- four steps in the process of thematic data
- analysis: immersion, coding, categorising
- and generation of themes.
- Conclusion: Rigorous and systematic
- analysis of qualitative data is integral to
- the production of high-quality research.
- Studies that give an explicit account of the
- data analysis process provide insights into
- how conclusions are reached while studies
- that explain themes anchored to data and
- theory produce the strongest evidence.</p></div><table style="margin-bottom: 1em" cellpadding="3" class="not_ep_block" border="0"><tr><th valign="top" class="ep_row">Item Type:</th><td valign="top" class="ep_row">Article</td></tr><tr><th valign="top" class="ep_row">Additional Information:</th><td valign="top" class="ep_row">"The definitive version is available at www.blackwell-synergy.com"
- </td></tr><tr><th valign="top" class="ep_row">Keywords:</th><td valign="top" class="ep_row">Qualitative research; data
- analysis; interviews; evidence; theory.</td></tr><tr><th valign="top" class="ep_row">Subjects:</th><td valign="top" class="ep_row"><a href="http://eprints.utas.edu.au/view/subjects/321200.html">320000 Medical and Health Sciences > 321200 Public Health and Health Services</a><br /><a href="http://eprints.utas.edu.au/view/subjects/370000.html">370000 Studies in Human Society</a></td></tr><tr><th valign="top" class="ep_row">ID Code:</th><td valign="top" class="ep_row">2671</td></tr><tr><th valign="top" class="ep_row">Deposited By:</th><td valign="top" class="ep_row"><span class="ep_name_citation"><span class="person_name">Dr Karen Willis</span></span></td></tr><tr><th valign="top" class="ep_row">Deposited On:</th><td valign="top" class="ep_row">13 Dec 2007 14:59</td></tr><tr><th valign="top" class="ep_row">Last Modified:</th><td valign="top" class="ep_row">09 Jan 2008 02:30</td></tr><tr><th valign="top" class="ep_row">ePrint Statistics:</th><td valign="top" class="ep_row"><a target="ePrintStats" href="/es/index.php?action=show_detail_eprint;id=2671;">View statistics for this ePrint</a></td></tr></table><p align="right">Repository Staff Only: <a href="http://eprints.utas.edu.au/cgi/users/home?screen=EPrint::View&eprintid=2671">item control page</a></p>
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