getting started and finishing your dissertation using nvivo
TRANSCRIPT
Getting Started and Finishing your Dissertation Using NVivo
www.queri.com
Kristi Jackson, MEd PhD
303-832-9502
� Session 1◦ NVivo and successfully defended dissertations
� Session 2◦ NVivo and the dissertation literature review
� Session 3◦ NVivo, ethics and IRBs
� Session 4◦ NVivo and your dissertation defense
� Large group
� Small group
� One-on-one
� Independent work
Stay a 4th day at no extra cost
www.Queri.com
1. Terms and history
2. Basic NVivo capabilities
3. Citing and referencing NVivo
4. Trends and research on use of NVivo
5. Diversity of options among your committee members and colleagues
6. Suggestions
� Computer Assisted Qualitative Data AnalysiS (CAQDAS) ◦ NOT Computer Assisted Qualitative Data Analysis Software
◦ Citations that properly refer to the acronym:� Bazeley, P. & Jackson, K. (2013). Qualitative data analysis with NVivo.
London: Sage Publications.� di Gregorio, S., & Davidson, J. (2008). Qualitative research design for
software users. Berkshire: Open University Press.� Gilbert, L., Jackson, K., & di Gregorio, S. (2013). Tools for analyzing
qualitative data: The history and relevance of qualitative data analysis software. In J. M. Spector, M. D. Merrill, J. Elen, & M. J. Bishop (Eds.), Handbook for research on educational communications and technology (4th ed., pp. 221-238). London: Routledge.
� Silver, C. & Lewins, S. (2014). Using software in qualitative research: A step-by-step guide. London: Sage Publications.
� Qualitative Data Analysis Software (QDAS or QDA software) ◦ Yuen, H. K., & Richards, T. J. (1994). Knowledge representation for
grounded theory construction in qualitative data analysis. Journal of Mathematical Sociology 19(4), 279-298.
� Silver, C. & Lewins, S. (2014). Using software in qualitative research: A step-by-step guide. London: Sage Publications. (2nd edition)
I: What do you like about working in this diverse team?R: Diverse ideas in a group can help a group achieve better decisions and a more comprehensive lens. But, I think some people don’t realize how much they benefit, individually, too. Because they keep logging in new ideas and new ways of seeing things. So, it’s not just a better group product or decision, the people actually walk out as better people.
Diversity
Assign themes or codes to particular
pieces of text/audio/video/image.
� Silver, C. & Lewins, S. (2014). Using software in qualitative research: A step-by-step guide. London: Sage Publications. (2nd edition)
I: What do you like about working in this diverse team?R: Diverse ideas in a group can help a group achieve better decisions and a more comprehensive lens. But, I think some people don’t realize how much they benefit, individually, too. Because they keep logging in new ideas and new ways of seeing things. So, it’s not just a better group product or decision, the people actually walk out as better people.
Diversity
Assign themes or codes to particular
pieces of text/audio/video/image.
Assign multiple codes to a single portion of text/audio/video/image.
Personal benefit
Better product
� Silver, C. & Lewins, S. (2014). Using software in qualitative research: A step-by-step guide. London: Sage Publications. (2nd edition)
Assign themes or codes to particular
pieces of text/audio/video/image.
Assign multiple codes to a single portion of text/audio/video/image.
Cross-reference the relationships among codes to investigate constellations or patterns.
Diversity
Personal
benefit
Better
product
“So, it’s not just a better group product or decision, the people actually walk out as better people.”
� Silver, C. & Lewins, S. (2014). Using software in qualitative research: A step-by-step guide. London: Sage Publications. (2nd edition)
I: What do you like about working in this diverse team?R: Diverse ideas in a group can help a group achieve better decisions and a more comprehensive lens. But, I think some people don’t realize how much they benefit, individually, too. Because they keep logging in new ideas and new ways of seeing things. So, it’s not just a better group product or decision, the people actually walk out as better people.
Diversity
Personal benefit
Better product
Assign themes or codes to particular
pieces of text/audio/video/image.
Assign multiple codes to a single portion of text/audio/video/image.
Cross-reference the relationships among codes to investigate constellations or patterns.
Import quantitative or demographic data as a means of comparing subpopulations in the data.
community organizer, 28 years old, 5 years of experience, bilingual
� Silver, C. & Lewins, S. (2014). Using software in qualitative research: A step-by-step guide. London: Sage Publications. (2nd edition)
I: What do you like about working in this diverse team?R: Diverse ideas in a group can help a group achieve better decisions and a more comprehensive lens. But, I think some people don’t realize how much they benefit, individually, too. Because they keep logging in new ideas and new ways of seeing things. So, it’s not just a better group product or decision, the people actually walk out as better people.
Assign themes or codes to particular
pieces of text/audio/video/image.
Assign multiple codes to a single portion of text/audio/video/image.
Cross-reference the relationships among codes to investigate constellations or patterns.
Import quantitative or demographic data as a means of comparing subpopulations in the data.
Track researcher ideas through the use of memos and links.
The community organizers who seem most enthusiastic about their work (and perhaps less prone to burn-out) see diverse angles on diversity. They see how it can help or have an impact in multiple ways. I wonder if there is a way to get community organizers to see these multiple effects. In turn, I wonder if they’d be more enthusiastic and less burnt out.
memo/journal interview transcript
� Silver, C. & Lewins, S. (2014). Using software in qualitative research: A step-by-step guide. London: Sage Publications. (2nd edition)
Assign themes or codes to particular
pieces of text/audio/video/image.
Assign multiple codes to a single portion of text/audio/video/image.
Cross-reference the relationships among codes to investigate constellations or patterns.
Import quantitative or demographic data as a means of comparing subpopulations in the data.
Track researcher ideas through the use of memos and links.
Connecting and visualizing interpretations
� Examples of first mention
◦ QSR International's NVivo 10 Software.
◦ QSR International's NVivo 10 qualitative data analysis software.
◦ NVivo Qualitative Data Analysis Software; QSR International Pty Ltd. Version 10, 2012.
◦ NVivo 11 software (QSR International Pty Ltd.)
� Years
◦ NVivo 10 - 2012
◦ NVivo for Mac - 2014
◦ NVivo 11 for Windows in three editions - 2015
� NVivo Starter
� NVivo Pro
� NVivo Plus
� Resources to help you articulate the role of NVivo
◦ Bazeley, P. & Jackson, K. (2013). Qualitative data analysis with NVivo. London: Sage Publications. (2nd ed)
◦ di Gregorio, S., & Davidson, J. (2008). Qualitative research design for software users. Berkshire: Open University Press.
◦ Richards, L. (2015). Handling qualitative data. London: Sage Publications. (3rd ed)
◦ Jackson, K. (2014). Qualitative methods, transparency, and qualitative data analysis software: Toward an understanding of transparency in motion. Retrieved from ProQuest. 3621346
◦ Silver, C. & Lewins, S. (2014). Using software in qualitative research: A step-by-step guide. London: Sage Publications. (2nd edition)
� Methods◦ Data management (handling)
◦ Ethics - storage/management, encryption, identity protection (see your IRB)
◦ Data analysis strategies – the software SHOULD be connected to methods
� Findings◦ Coding structures
◦ Pattern displays
� Tables, charts, graphs, maps
� Implications◦ (Less frequent)
Mentions of NVivo in dissertations (ProQuest)
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Abstract
� Jackson, K. (2014). Qualitative methods, transparency, and qualitative data analysis software: Toward an understanding of transparency in motion.
1. Brief discussion of NVivo, even when it was identified as an important part of the process
2. Role of visualizations in the process, rather than as a product (in contrast with quantitative research)
Woods, M., Paulus, T., Atkins, D.P., & Macklin, R. (2015). Advancing qualitative research using Qualitative Data Analysis Software (QDAS)? Reviewing potential versus practice in published studies using ATLAS.ti and NVivo, 1994-2013. Social Science Computer Review. 1-21
� Data◦ NUDIST, NVivo, Atlas.ti◦ Peer review journals, English ◦ 1994-2013◦ 763 empirical studies
� Findings◦ For both software, most articles were “generic qualitative” “interview” or
“focus group”� 225/414 for NVivo
◦ Only 10.4 % used visualizations
� What do the individual members think about your use of NVivo? ◦ Benefits:
Tools and activitiesAudit trail
Revisit data and interpretations Multiple data types
Mixed methodsVisualizations
Memos linked to dataQueries that cross-reference
(e.g., intersections) Comparing sub-groups
Adjectives and descriptors Transparency Confirmability
CredibilityDurabilityReliability
Transferability
� What do the individual members think about your use of NVivo? ◦ Concerns:
Tools and activitiesText mining
Content analysisReference counts
Case countsFew statistics
Coding by hand is important
Adjectives and descriptors Homogenization
DistancingQuantificationUnreflective
Get in the wayMechanistic
� Identify the software and cite it properly
� Reasons for selection over others◦ Ease of use?◦ Access?
� Comparison with others◦ Advantages?◦ Similarities?
� Cite books that reference the relevance/purpose of QDAS
� Anticipate the potential criticisms◦ Committee◦ Literature
� Track your journey◦ Likes, dislikes◦ Things the software may have obscured◦ Things you may not have seen the same way without it◦ A memo called: Next steps
� Specific features used and how you used them◦ A few, well-placed screen captures along with narrative
� Relevant sections◦ Methods
� Be specific about purpose (storage, coding, analysis, transcription)� Show how NVivo supports or relates to your method
� Avoid “method neutral” language
� Ethics - storage/management, encryption, identity protection (see your IRB)◦ Findings
� Coding structures� Pattern displays (tables, charts, graphs, maps)
◦ Implications
� Session 1◦ NVivo and successfully defended dissertations
� Session 2◦ NVivo and the dissertation literature review
� Session 3◦ NVivo, ethics and IRBs
� Session 4◦ NVivo and your dissertation defense
� Large group
� Small group
� One-on-one
� Independent work
Stay a 4th day at no extra cost
www.Queri.com
Getting Started and Finishing your Dissertation Using NVivo
www.queri.com
Kristi Jackson, MEd PhD
303-832-9502