Embed Size (px)
Citation preview
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 opinions in the literature
6. Diversity of options among your committee members and colleagues
7. 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)
0
200
400
600
800
1000
1200
1400
1600
2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
Anywhere
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
Homogenization critique ◦ Coffey, A., Holbrook, B. & Atkinson, P. (1996).
'Qualitative Data Analysis: Technologies and Representations', Sociological Research Online, vol. 1, no.1. Retrieved from http://www.socresonline.org.uk/1/1/4.html on October 1, 2015.
Homogenization response ◦ Lee, R.M. & Fielding, N. (1996). 'Qualitative Data
Analysis: Representations of a Technology: A Comment on Coffey, Holbrook and Atkinson,' Sociological Research Online, vol. 1, no. 4. Retrieved from http://socresonline.org.uk/1/4/lf.html on October 1, 2015.
Distancing critique ◦ Agar, M. (1991) The right brain strikes back. In N.G.
Fielding and R.M. Lee (eds) Using Computers in Qualitative Research (London: Sage Publications), pp. 181 – 194.
Distancing response ◦ Richards, L. (1998) Closeness to data: the
changing goals of qualitative data handling. Qualitative Health Research, 8, 319 – 328.
What do the individual members think about your use of NVivo? ◦ Benefits:
Tools and activities Audit trail
Revisit data and interpretations Multiple data types
Mixed methods Visualizations
Memos linked to data Queries that cross-reference
(e.g., intersections) Comparing sub-groups
Adjectives and descriptors Transparency Confirmability
Credibility Durability Reliability
Transferability
What do the individual members think about your use of NVivo? ◦ Concerns:
Tools and activities Text mining
Content analysis Reference counts
Case counts Few statistics
Coding by hand is important
Adjectives and descriptors Homogenization
Distancing Quantification Unreflective
Get in the way Mechanistic
Based on your conversations, fill out this table:
Adjectives Tools/Activities
Benefits
Concerns
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
