SAGE - QSR webinar: Planning and Organizing Your Project to Ensure Success with NVivo www.queri.com Kristi Jackson, MEd PhD [email protected]303-832-9502
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Planning and organizing your project to ensure success with NVivo
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1. SAGE - QSR webinar: Planning and Organizing Your Project to
Ensure Success with NVivo www.queri.com Kristi Jackson, MEd PhD
[email protected] 303-832-9502
3. Table of contents Perspectives: Qualitative computing and
NVivo Starting out, with a view ahead Designing an NVivo database
Coding basics Going on with coding Cases, classifications, and
comparisons Working with multimedia sources Adding reference
material to your NVivo project Datasets and mixed methods Tools and
strategies for visualizing data Using coding and queries to further
analysis Teamwork with NVivo Moving on - further resources
References Research Support
4. Core Structural Features in NVivo 1. Coding 2. Cases 3.
Classification Systems 4. Queries Thirteen questions (A through M)
to address during your planning process (and five tips!)
5. 1. Coding How do I get from here . . .
6. . . . to here (a Matrix Query). . . Female Male 7 4 Pulled
Back Home 11 3 Positive 2 0 School
7. . . . and here (charting a Matrix Query) Female Male School
7 4 Pulled Back home 11 3 Positive 2 0 Female Male 0 2 4 6 8 10 12
School Pulled Back Home Positive Female Male
8. I lived away for nine years. I was in college and teaching.
But I ended up coming back because I married back home and I know
this is where I need to be. So there is a great satisfaction
knowing that. I really love being here in my grannys house that was
her grandmothers house. And I feel a real peace about being here.
And I tell people every night when I close that old Montgomery door
that I am very fortunate to be on a square of land that has been in
the family for six generations and to have a family that
appreciates that like my family does. School Marriage Family FEMALE
2. CasesQuestions about Coding?
9. Going from sources to cases Susan T1 Susan T2 Priya T1 Raul
T1 Raul T2 Priya T2 Susan I hope that everybody who is here,
whether they been here forever, or just got here, they realize the
power of this place and the beauty of it. Raul And the beauty is
not just in the trees or the landscape . . . Susan but in the
people and in the stories of the past and they recognize that each
one of them has a say so. Priya That the decisions we make are
going to determine the future and that this place is worth fighting
for. Raul Its worth working for. Susan Raul Priya
10. Preparing quantitative data to map onto cases Case Age
Gender Susan 30 Female Raul 40 Male Priya 30 Female Classification
sheet Susan Raul Priya
11. 3. Classification System(s)
12. (Cases and Classifications in NVivo)
13. I lived away for nine years. I was in college and teaching.
I really love being here in my grannys house that was her
grandmothers house. And I feel a real peace about being here. And I
tell people every night when I close that old Montgomery door that
I am very fortunate to be on a square of land that has been in the
family for six generations and to have a family that appreciates
that like my family does. School Marriage Family FEMALE But I ended
up coming back because I married back home and I know this is where
I need to be. So there is a great satisfaction knowing that. But I
ended up coming back because I married back home and I know this is
where I need to be. So there is a great satisfaction knowing that.
4. QueriesQuestions about Cases and the Classification System
(Classifications, Attributes, Values)?
14. Female Male 7 4 Pulled Back Home 11 3 Positive 2 0
School
15. Word Frequency catalog Text specific strings Matrix
cross-tab Coding complex logic Compound closeness Theory building
queries Clerical/administrative queries Group lists Comparison
coding reliability Seven types of queries Female Male School 7 4
Pulled Back home 11 3 Positive 2 0 A School B Family C Women I
lived away for nine years. I was in college and teaching. But I
ended up coming back because I married back home and I know this is
where I need to be. So there is a great satisfaction knowing that.
I really love being here in my grannys house that was her
grandmothers house. Family college within 50 words of the node
family School Susan Priya School Bindu Family Susan Communication
Node Source Kappa Agree % Disagree % School Priya .5743 94.47 5.53
Family Priya 1 100 0 Communic. Priya 0 92.51 7.49
16. Questions about queries? Word Frequency catalog Text
specific strings Matrix cross-tab Coding complex logic Compound
closeness Theory building queries Clerical/administrative queries
Group lists Comparison coding reliability
17. A. What are they? People, teams, policies, theories,
phases, articles, organizations. . . B. Do I want to work with more
than one kind? People AND organizations C. Do I have multiple
sources for one case? Susan T1 and Susan T2 D. Do I have one source
with multiple cases? Focus group with Susan, Raul, Priya . . . then
how should I prepare my files? 5. Thirteen Questions to Address
During the Planning Process (and five tips!) If I have cases . . .
.
18. Simple tips for preparing files Keep every moment of data
collection in its own file (tip 1). If I interview a child and an
adult in a single household . . . . . . put the transcripts into
separate documents. If I have more than one Classification (e.g.,
person, family, organization ). . . . . . start with the smallest
(tip 2) person
19. E. What are they? Age, gender, ethnicity . . . F. Do I have
a plan for collecting them? Screening questions, interview guide .
. . G. Will I pre-determine the Values, or will I allow
participants to self-identify and later develop subgroups?
Cuban-American, White, Latino, Black, African-American, Caucasian .
. . H. Could some (or all) of the Classifications, Attributes and
Values emerge during coding instead of being determined a-priori?
After coding, I see there are three types of peer groups: Insular,
semi-open, open . . . If I have attributes and values . . . .
20. I. Do I know some of them ahead of time? Sustainability,
barriers, transportation, efficacy . . . J. Do I anticipate some
will be inductively generated? (Am I doing phenomenology, grounded
theory, or other inductive approaches?) K. Have I read the
literature about coding? Pat Bazeley: Qualitative Data Analysis:
Practical Strategies Kathy Charmaz: Constructing Grounded Theory
(2nd) Lyn Richards: Handling Qualitative Data: A Practical Guide
(3nd) Johnny Saldaa: The Coding Manual for Qualitative Researchers
(2nd) Regarding my nodes (codes) . . . .
21. School Positive Negative Neutral Conflicted Family Positive
Negative Neutral Conflicted Communication Positive Negative Neutral
Conflicted Potential Problem Coding data & running matrix
queries (leading up to tips 3 & 4)
22. Topic Health Networking Communication School Family
Communication Positive 45 63 12 Negative 87 44 26 Neutral 10 11 13
Conflicted 86 96 112 Attitude Positive Negative Neutral Conflicted
Potential Solution Topics Attitudes Matrix Query of Topics X
Attitudes: Avoid viral coding structures (tip 3)
23. Dont create a viral coding structure by creating sub-nodes
according to demographic characteristics: (tip 4) School Men Women
Family Men Women
24. L. Do I know the kinds of queries I can run in NVivo? Text
mining, Boolean operations, Matrices . . . M. Do I have a memo in
my project where I can add ideas for queries as I code, link and
write about my interpretations? Its a bad sign if a final project
doesnt have any memos. Learn how to create and modify memos (tip 5)
Regarding queries . . .
25. Cases A. What are they? B. Do I want to work with more than
one kind? C. Do I have multiple sources for one case? D. Do I have
one source with multiple cases? Classifications, Attributes, Values
E. What are they? F. Do I have a plan for collecting them? G. Will
I pre-determine the Values, or will I allow participants to
self-identify and later develop subgroups? H. Could some (or all)
of the Classifications, Attributes and Values emerge during coding
instead of being determined a-priori? Nodes (themes) I. Do I know
some of them ahead of time? J. Do I anticipate some will be
inductively generated? K. Have I read the literature about coding?
Queries L. Do I know the kinds of queries I can run in NVivo? M. Do
I have a memo in my project where I can add ideas for queries as I
code, link and write about my interpretations? 1. Keep every moment
of data collection in one file (except Datasets [surveys, social
media, etc.]) 2. If you have more than one kind of classification,
start with the smallest 3. Avoid viral coding structures 4. Dont
put demographics (values) into your coding structure 5. Learn how
to use memos in the project Questions Tips
26. SAGE - QSR webinar: Planning and Organizing Your Project to
Ensure Success with NVivo www.queri.com Kristi Jackson, MEd PhD
[email protected] 303-832-9502