edf 7479 qualitative data analysis
TRANSCRIPT
EDF 7479
Qualitative Data Analysis
3 hours Graduate Credit
Fall 2019
Kakali Bhattacharya, Ph.D.
Professor
Research, Evaluation, and Measurement
College of Education
2-265L Norman Hall
Phone: 352-273-4322
Website: http://kakali.org
E-mail: [email protected] (preferred mode of communication)
Bhattacharya, Qualitative Data Analysis 2
Table of Contents
Instructor Contact Information ........................................................................................... 4
Course Description.............................................................................................................. 4
Course Objectives and Outcomes ....................................................................................... 4
Class Instructional Strategies .............................................................................................. 4
This class will be driven by in class discussions, interactive games, group work, projects,
shared deliverables, and lectures......................................................................................... 4
Intentions for Students’ Learning ....................................................................................... 4
Required Textbooks ............................................................................................................ 5
Recommended Textbooks ................................................................................................... 5
Course Assignments............................................................................................................ 6
Data inventory, project description, and timeline (developmental) ................................ 6
First methodological paper (15-20 pages double-spaced, developmental) ..................... 6
Second methodological paper (10-15 pages, developmental) ........................................ 7
Draft of chapter three ...................................................................................................... 7
Final draft of cleaned up paper ....................................................................................... 9
Community engagement ................................................................................................. 9
Course Policies.................................................................................................................. 11
Overall Philosophy........................................................................................................ 11
Copyright Notification .................................................................................................. 11
Readings and Feedback................................................................................................. 11
Academic Honesty – Honor Pledge .............................................................................. 12
Diversity of Perspectives .............................................................................................. 12
Grading Policy .............................................................................................................. 12
Preparation and Extra Credit Assignments ................................................................... 13
Attendance and Participation ........................................................................................ 14
Tardiness and Courtesy to Peers ................................................................................... 14
Pagers, cell phones and other noise makers .................................................................. 14
End of Semester Negotiations ....................................................................................... 14
Students with Disabilities ............................................................................................. 14
Course Evaluations ....................................................................................................... 14
Campus Resources ............................................................................................................ 15
Health and Wellness ..................................................................................................... 15
Academic Resources ..................................................................................................... 15
Course Schedule................................................................................................................ 16
Bibliography ..................................................................................................................... 20
General introductions to data analysis .......................................................................... 20
Grounded theory ........................................................................................................... 20
Conversation Analysis and Ethnomethodology ............................................................ 20
Narrative analysis.......................................................................................................... 21
Bhattacharya, Qualitative Data Analysis 3
Ethnographic analysis ................................................................................................... 21
Phenomenology............................................................................................................. 22
Alternative approaches to representation ...................................................................... 22
CAQDAS ...................................................................................................................... 23
Theorizing and data analysis ......................................................................................... 23
Bhattacharya, Qualitative Data Analysis 4
EDF 7479: Qualitative Data Analysis
3 hours Graduate Credit
Fall 2019
Instructor Contact Information
Kakali Bhattacharya, Ph.D.
Research, Evaluation, and Measurement
College of Education
2-265L Norman Hall
Phone: 352-273-4322
Website: http://kakali.org
E-mail: [email protected] (preferred mode of communication)
Office hours: Wednesdays 2:00-3:00 pm and by appointments
Class meeting time: Wednesdays 3:00-6:00 pm NRN 121
Website: http://kakali.org/
Course Description
Qualitative inquiry relies on developing an in-depth data analysis and understanding of the topic
being investigated. Such in-depth understanding emerge from triangulation of various data
sources as well as using multiple approaches to data analysis to crystallize understanding.
Students would need to have a qualitative research methods course completed in order to take
this class. Students will learn to use various qualitative data analysis methods using multiple data
sources. Further, this course will also help students produce a conference proposal for
International Congress of Qualitative Inquiry and develop skills for documenting their findings,
data analysis processes, and representing final outcomes of their studies.
Course Objectives and Outcomes
After completing this course, the learner will be able to:
• Identify the processes involved in qualitative data collection (interview, observations,
document analysis)
• Implement the process of data collection in your own work
• Identify various forms of inductive analysis
• Implement a form of inductive analysis in his/her own work
• Conduct arts-based analysis on data collected
• Discuss and define the limits and possibilities of academic rigor and ethical issues that
emerged
• Maintain a research journal during the entire class reflecting on the process, and the kinds
of knowledge produced, including their potentials and possibilities
• Produce a publishable paper at the end of the course
• Produce a draft of a methodology chapter for a tentative dissertation proposal
• Engage in community building exercises
Class Instructional Strategies
This class will be driven by in class discussions, interactive games, group work, projects,
shared deliverables, and lectures.
Intentions for Students’ Learning
May my students be able to draw connections between the fragmented parts of themselves to
reflect upon contextually based human experiences and discursive relations. May they be able to
Bhattacharya, Qualitative Data Analysis 5
analyze the details in the micro level of one breath and the macro level of shared breaths,
humanity, differences, and dialogues.
May my students become gifted storytellers and change agents, create work that can be used both
within and beyond academia. May they work from a place of ethical integrity, without fear, with
conviction, willing to play with their own light and shadow, practice radical self-excavation to
bring to bear knowledge that is raw, honest, vulnerable, and change inducing.
Required Textbooks
Keating, A. (Ed.) (2015). Light in the dark/Luz en lo oscuro:Rewriting identity, spirituality,
reality. Durham, North Carolina: Duke University Press. (AK)
Kim, J.-H. (2015). Understanding narrative inquiry: The crafting and analysis of stories as
research. Thousand Oaks, CA: Sage. (JK)
Saldana, J. (2016). The coding manual for qualitative researchers. Thousand Oaks, California:
Sage. (JS)
Recommended Textbooks
Bhattacharya, K. (2017). Fundamentals of qualitative research: A practical guide. New York,
NY: Routledge. (Strongly recommended)
Bhattacharya, K., & Gillen, N. K. (2016). Power race and higher education: A cross cultural
parallel narrative. Rotterdam, Netherlands: Sense Publisher.
Boylorn, R. M., & Orbe, M. P. (Eds.). (2013). Critical autoethnography: Intersecting cultural
identities in everyday life. Walnut Creek, CA: Left Coast Press.
Cahnmann-Taylor, M., & Siegesmund, R. (2008). Arts-based research in education:Foundations
for practice. New York, NY: Routledge.
Charmaz, K. (2006). Constructing Grounded theory: A practical guide through qualitative
analysis. Thousand Oaks, California: Sage.
Gee, J. P. (2011). How to do discourse analysis: A toolkit. New York, NY: Routledge.
Pink, S. (Ed.). (2012). Advances in visual methodology. London, UK: Sage Publishing.
Riessman, C. K. (2007). Narrative methods for the human sciences. Thousand Oaks, CA: Sage
Publications, Inc.
Rolling, J. H. (2013). Arts-based research primer. New York, NY: Peter Lang.
Vagle, M. D. (2014). Crafting phenomenological research. Walnut Creek, CA: Left Coast Press.
Spradley, J. P. (1979). The ethnographic interview. Belmont, CA: Wadsworth Group.
Spradley, J. P. (1980). Participant observation. Belmont, CA: Wadsworth Group.
Bhattacharya, Qualitative Data Analysis 6
Wertz, F. J., Charmaz, K., McMullen, L. M., Josselson, R., Anderson, R., & McSpadden, E.
(2011). Five ways of doing qualitative analysis. New York, NY: Guilford Publishing.
Wolcott, H. F. (2001). Writing up qualitative research. Thousand Oaks: Sage Publications.
Course Assignments
Data inventory, project description and timeline Developmental
First Methodological Paper Developmental
Second Methodological Paper Developmental
Draft of chapter three 20 points
Final draft of cleaned up paper 20 points
Community Engagement 10 points
Discussion and class participation 10 points
Total 100 points
90% or more C’s in Developmental Assignments = 40 points
70% - 89% C’s in Developmental Assignments = 30 points
60%-69% C’s in Developmental Assignments = 20 points
50% - 59% C’s in Developmental Assignments = 15 points
40% - 49% C’s in Developmental Assignments = 10 points
1- 39% C’s in Developmental Assignments = 5 points
Submit all assignments via Canvas
Data inventory, project description, and timeline (developmental)
You will collect at least three types of data on a topic of your interest. At least two of those types
have to be an hour interview, and an hour of observation. The third type of data can be any form
of archival data including pictures, documents, films, tapes, music, etc. Students will need to
frame a project description outlining how much data they will collect and a brief description of
their goals for data analysis in this course. You will list tentatively a page count of all raw data
sources. You will also design a timeline for your project including data collection, analysis, and
write-up. Additionally, you will be expected to provide a short description of your project to
situate your work contextually. Please refer to the associated rubric for this assignment.
Submit all assignments via Canvas
First methodological paper (15-20 pages double-spaced, developmental)
This data analysis project is designed to assist students in exploring ways to make meaning of
data. In this project, you will conduct data analysis by using data sources of your choice. For this
paper you will:
- Provide an introduction to your topic, with brief background and context (1-2 pages). You
can be creative and enter a subjectivity statement too if you like to introduce your topic.
However, once done speaking from a personal position, you would be expected to provide
some academic background and context to your study.
Bhattacharya, Qualitative Data Analysis 7
- State your research purpose and questions (operational definitions not needed).
- State your methodological framework. This is where you discuss the research surrounding
your methodology. If you’re doing a phenomenological study, then you need to discuss what
phenomenology is, and how that informs qualitative research, and how people have used
phenomenology in their studies.
- List your data collection methods. First you will discuss individual data collection methods
with academic citation. Then you will discuss what this process of data collection looked for
you. Provide examples in your narrative.
- Provide a narrative about your data analysis process. You will offer what methodological
literature you leaned on to inform your data analysis process. Provide step-by-step details of
your data analysis with examples from your study for every step. Offer visuals if that is
relevant.
- Represent your findings through a format that best fits your research. If representing using a
thematic narrative, then use each theme as a heading and underneath each theme, you will
elaborate the theme, explain what you found as salient patterns in your data embedded with
evidence from your data (interview excerpts, pictures, documents, etc.). If you are using an
arts-based genre, then ensure that your representation is consistent with your analysis. Don’t
forget to align your work theoretically and methodologically.
- Reflect on the process and the product and what you were able to learn about the topic,
methodology, and yourself as a qualitative researcher.
Submit all assignments via Canvas
Second methodological paper (10-15 pages, developmental)
In this paper, you will either continue to build upon the analysis used in your first
methodological paper, or if you would like to explore a different form of analysis, use an analytic
approach that is different from your previous work. In this paper you are expected to identify the
analytic approach you will be using, demonstrate your process with examples, provide some data
representation, and a reflection on your learning experiences as you engaged with this analytic
process.
Submit all assignments via Canvas
Draft of chapter three (20 points – finish your thought, don’t worry about page limit)
This will be a tentative draft of a chapter three of a dissertation proposal. This does not mean that
this is your actual dissertation proposal or that it would be ready to be submitted for a proposal
when you’re done. However, this will allow you to learn what is involved in preparing a
methodological chapter for a proposal incorporating qualitative methods, even if you choose
another topic for your dissertation.
This paper will be written in future tense as this will be a proposal of a study you are yet to
complete.
In this draft of chapter three, you will take sections from your first inductive analysis paper and
craft a methodological blueprint for a potential dissertation study. Essentially, it will repeat the
work of the first paper, but polished in future tense with the removal of raw data excerpts. You
Bhattacharya, Qualitative Data Analysis 8
can also include the content in the second arts-based reflection paper too if you found it to be
relevant for your study.
This document should be formatted as follows with the following section headings:
- Reiterate your research purpose and questions as you start the chapter (repeat from
prior work).
- Subjectivity Statement: This can be inserted anywhere in the document. Just make sure
that there is relevant flow.
- Rationale for Qualitative Study: What is the purpose of qualitative research? Why is
this relevant to your study? What is the epistemology of qualitative inquiry?
- Methodological Framework: State your methodological framework. This is where you
discuss the research surrounding your methodology. If you’re doing a phenomenological
study, then you need to discuss what phenomenology is, and how that informs qualitative
research, and how people have used phenomenology in their studies (repeat from prior
work).
- Research Design: In this section you will discuss the details of the research design aligned
with your methodological framework. Subsections within this section will include:
▪ Participant selection - How will you be selecting your participant? How will
you gain access to them? What methodological literature are you leaning on to
select your participants?
▪ Research site – What will be the site where you will collect the most overt forms
of data? How will you gain access to this site or these sites? Will there be other
sites where you might be collecting data that might not be so overt? What would
that look like? Is there any methodological literature that informs your decision?
▪ Membership role - What will be your membership role in this study? Are you an
insider, outsider, or both, or shuttle between both of these roles? What would be
the implications? What kind of participant observer will you be (peripheral,
integrated, etc.)? Refer to appropriate methodological literature.
- Data Collection: In this section you will discuss the details of the kinds of data you will
collect. First you will discuss the methodological literature associated with this type of
data collection. Then you will discuss how exactly will your process look like. Offer
sample interview questions, observation protocol, document analysis protocol in
appropriate data collection subsections. Include your data inventory table here as you
introduce this section.
- Data Management and Data Analysis: Data management is the process of managing
the volumes of data you will collect and the process through which you will chunk the
data into manageable units. Data analysis is the analytical framework you will use to look
deeper into the various chunks of the data, write around the ways in which the chunks are
speaking to you, and compare your understanding with other chunks of data in the study.
Therefore, it is better to divide this section into two parts. In the first part discuss the
process of how you will manage the volumes of data and have access to various parts of
the data and connect with other parts of the data. In the second part discuss with
methodological citation what analytic processes you will use to make meaning of the data
and analyze the data. If there are steps involved, detail those steps with appropriate
citation. The purpose of this section is to outline how you intend to move from point A to
point B in your data analysis process. It is understood that your actual analysis might look
Bhattacharya, Qualitative Data Analysis 9
different when you actually conduct the analysis. This is just a proposal at this moment.
- Reciprocity and Ethics: In this section you will discuss how you will “pay back” the
participant for being a part of your study. This does not always have to be a monetary
incentive. However, since your academic success is contingent on this person’s story, you
have to be thoughtful in terms of demonstrating that you are willing to offer a gesture of
gratitude towards the participant. Additionally, you need to anticipate any ethical
dilemma that might arise as a result of doing this study and detail the anticipated risks
that might be there for you, the participant, the research site, or the field as appropriate.
However, make sure to also address how you would mitigate these risks if you anticipate
them in advance. For example, if you anticipate difficult topics might come up, one way
to mitigate that issue is to offer the participants a resource list with information about
relevant professional help that they could use.
- Data Representation: How do you anticipate your data to look when your data analysis
is completed? Now remember you cannot truly predict what your data would look like in
advance. However, at this point, having conducted a pilot study, do you have an idea or a
preference about a form of data representation over another? For example, do you see
yourself drawn to thematic descriptions, narratives, arts-based representation, etc? Cite as
relevant.
- Trustworthiness and Rigor: What are the different ways in which you will maintain
trustworthiness and rigor in this study? Can you actually really ever ensure that in a
subjective inquiry such as qualitative research? What methodological literature are you
leaning on to inform your work. Think member checks, subjectivity statement, researcher
journal, bracketing, prolonged stay in the field, multiple data sources, peer-debriefing,
triangulation, falsification, etc. Offer definitions of each approach with citation and state
how you will use these strategies to establish rigor and trustworthiness in this study.
Submit all assignments via Canvas
Final draft of cleaned up paper (20 points – 20-30 pages)
In this paper, you will polish up either your first paper, or combine your first and second paper
(if it makes sense) present it as a publishable paper. Example of what a publishable paper could
look like is here. http://thenjournal.org/feature/307/
Or, you might choose to clean up your previous work for this assignment. More details will be
provided in class.
Community engagement (10 points)
I believe in community building while conducting qualitative research. To that end, you will
work together with your classmates to create a Graduate Student Tips for Success guide for
future students enrolled in this course. As you complete each assignment, take notes on your
thoughts, feelings, possible stressors, tips for success, and overall learning outcomes to add to the
success guide. At the end of the course, we will work together as a class to combine these tips
together to create the guide for future students. This guide will be shared with future students and
I will host it either on my website kakali.org or on my weebly (drkakali.weebly.org).
Discussion and class participation (10 points)
Bhattacharya, Qualitative Data Analysis 10
This class will be heavily dependent on participation. You will be expected to participate in
discussions in class and online when appropriate. In class you will be prompted to reflect on
readings, answer specific questions, react to your peers, or lead discussions. Your active
participation is critical for earning your grade.
You will also be expected to participate in class activities. This means you have to come to class
prepared with the readings, contribute meaningfully to class discussions, listen to your peers, and
assist the class in advancing our thoughts on the topics of the day. Monopolizing class
discussions do not automatically imply participation and being silent do not automatically imply
active listening either. It will be up to you to strike a balance between speaking and staying
silent, staying on task, discussing directly from the readings in order to earn your grade for class
participation. You will be expected to maintain a researcher journal and at times I might give you
prompts for your researcher journal, but at other times it would be expected that you are
documenting your thoughts reflexively. I have attached below a guideline for participation. If
you are shy and do not usually speak in class, come see me and we will work out alternate forms
of participation for you.
Engagement Engagement Description
Type 5 – 5 points The Interested Concern Citizen
• You leave class wondering (pondering, uncertain, surprised,
speculating, questioning, struck, stuck, amazed, caught up
etc.).
• You challenge the group (small and large) respectfully.
• You ask insightful questions
• Your contributions extend the class readings.
• In discussion, you refer to text and experience.
• You participate regularly with the group and feel a sense of
belonging (inclusion with it, responsibility for it).
• You share the collective space. (You neither dominate the
discussion, nor intimidate nor remain in the shadows).
• You have prepared and thought before class.
Type 4 – 4-5 points The Responsible Student
• You ask questions. Usually these are of clarification rather
than instigation.
• Your thought/questions are related to the readings.
• In discussion, you refer to text and to experience.
• You participate regularly.
• You share the collective space. (You neither dominate the
discussion, nor intimidate nor remain in the shadows).
• You have prepared and thought before class.
Type 3 – 3-4 points Caught Up in the Moment
• You leave class wondering (pondering, uncertain, surprised,
speculating, questioning, struck, stuck, amazed, caught up
etc.) from the contributions of others.
Bhattacharya, Qualitative Data Analysis 11
• You contribute your perspective to discussions based upon
your experience; however, this perspective is not necessarily
informed by readings. It is more “in the moment.”
• You sometimes participate, sometimes not.
• You sometimes prepare, sometimes not.
Type 2 – 2-3 points The Anonymous Spectator
• You may or may not leave class wondering (pondering,
uncertain, surprised, speculating, questioning, struck, stuck,
amazed, caught up etc.).
• You ask yourself insightful or probing questions. You engage
yourself in thought.
• You attend and listen attentively to others’ contributions and
may find these interesting.
• You do not regularly contribute to the group; you may not be
very well known to the group/class as a whole.
• You have prepared and thought before class.
Type 1 – 1 point Non-Participation/ The Outsider
• You sometimes come to class, sometimes not.
• You arrive late.
• You leave early
• You attend class and leave class.
• You feel disengaged (for a variety of reasons), not included
and/or not responsible.
Course Policies
Overall Philosophy
I am not here to ‘teach’ you anything. I am here to hold a space for your being and becoming. A
space that involves trust, safety, and unconditional positive regard for wherever you are at in
your learning process. I am here to open doors and windows for you, show you paths you could
possibly travel. But the journey is yours, the learning is yours, and in bearing witness to your
learning, I learn, I grow, and become your biggest cheerleader, while supporting and challenging
you as needed. If anything, your journey inspires me, because bearing witness to you achieving
one of the biggest milestones in your life is nothing but a privilege and an honor. Thank you for
sharing your journey with me. Now let's get to work.
Copyright Notification
Copyright, 2019, Kakali Bhattacharya, Ph.D., Professor. As to this syllabus, handouts, handbook,
and all lectures, students are prohibited from selling (or being paid for taking) notes during this
course to or by any person or commercial firm without the express written permission of the
professor teaching the course.
Readings and Feedback
I have assigned readings in this class not to seek your agreement with the readings, nor to make
you like the readings. These readings are to provoke your critical thinking and engagement,
perhaps move you out of your comfort zone and invite you to explore ideas that may or may not
Bhattacharya, Qualitative Data Analysis 12
be familiar to you. To that end, I expect you to critically engage with the readings, make
scholarly arguments, and develop your academic voice and become aware of your positionality.
Given that our time is limited, I prefer to provide direct feedback to you guiding you on the right
path if you veer off. Please know that I have your best interest in mind and while sometimes such
direct feedback can come across a bit blunt or too detailed, it is done so because I am deeply
invested in your learning. Often sugar-coated feedback remains unclear to the student in terms of
what needs to be modified/revised and in what manner. This confusion in turn causes the student
to miss the mark repeatedly, creating frustration and self-doubt. If I have given you detailed or
direct feedback, it is because I want your time to be used efficiently as you make revisions, while
having a sense of clarity in how you are expected to perform.
Academic Honesty – Honor Pledge
UF students are bound by The Honor Pledge which states, “We, the members of the University
of Florida community, pledge to hold ourselves and our peers to the highest standards of honor
and integrity by abiding by the Honor Code.” On all work submitted for credit by students at
the University of Florida, the following pledge is either required or implied: “On my honor, I
have neither given nor received unauthorized aid in doing this assignment.”
The UF Student Honor Code and Student Conduct Code
(http://www.dso.ufl.edu/sccr/process/student-conduct-honor-code/) specifies a number of
behaviors that are in violation of this code and the possible sanctions. Furthermore, you are
obligated to report any condition that facilitates academic misconduct to appropriate personnel.
If you have any questions or concerns, please consult with the instructor.
Diversity of Perspectives
We are in a multicultural learning environment. Please remain aware of and sensitive to
educational and social science research issues emerging from multiple perspectives and integrate
into your own as you construct your arguments in class and in your assignments. As researchers
and/or researchers-in-training, we will discuss anticipated challenges while conducting
qualitative studies, how to talk to scholars and practitioners across paradigms, and how to
navigate the academic terrain. Please note that these discussions are critical in order for you to
remain well informed about the academic journey that lies ahead of you.
Grading Policy
As evidenced earlier, this course is developmental in nature. However, at the end of the term, I
have to assign a letter grade to everyone. I will work with you closely to ensure you earn the
grade the best reflects your performance, with chances to correct errors. The following is my
breakdown of grades you can earn.
90-100 = A, 80-89.9 = B, 70-79.9 = C, 60-69.9 = D, 59.9 and below = F (fail)
Information on current UF grading policies for assigning grade points. This may be achieved by
including a link to the web page:
https://catalog.ufl.edu/ugrad/current/regulations/info/grades.aspx
Bhattacharya, Qualitative Data Analysis 13
http://gradcatalog.ufl.edu/content.php?catoid=12&navoid=2750#grades
Preparation and Extra Credit Assignments
As a graduate student, in this class you are expected to come to class prepared, having done the
readings, prepared to participate in discussions referring to the readings much more than to
anecdotes. You are welcome to relate your personal experiences to the readings, but you are
expected to develop a way to engage with the course material for an immersive learning
experience. You will also have to complete all assignments in this class and there will be no
extra credit assignments that will be considered at the end of the semester. This class requires a
lot of time, preparation, and understanding and application of critical concepts in educational
research. You will need to stay on top of things in order to perform well in this class. If you find
that you are unable to keep up with the work in this class due to your other obligations, then
please reflect on whether this is the right semester for you to take this class.
Basic Performance Competencies
There are some basic competencies that I expect you will have in order to perform well in this
class. These are:
• Ability to proof read your assignments before submitting
• Ability to cite references when making general and/or specific statements that are not entirely
your own
• Ability to communicate effectively when you do not understand the instruction or
expectations about assignments
• Ability to connect to the Internet, download required materials, and post required materials as
needed. Do not leave things for the last minute and perform inadequately due to
technology issues. So plan ahead and have back up plans in place should something go
wrong.
• Should you miss a class or come in late, it is your responsibility to catch up on what has been
covered during your absence. It will be difficult to repeat instruction for students
individually.
• All written work submitted must be the student’s original work and conform to the guidelines
of the American Psychological Association (APA) available online and via their publications.
This means that any substantive ideas, phrases, sentences, and/or any published ideas must be
properly referenced to avoid even the appearance of plagiarism. Plagiarism includes, but is
not limited to, the use, by paraphrase or direct quotation, of the published or unpublished
work of another person without full or clear acknowledgment. It also includes the
unacknowledged use of materials prepared by another person or agency in the selling of term
papers of other academic materials.
• All assignments are mandatory and must be typed, double spaced, written in Times New
Roman 12-point font with 1-inch margins.
• Assignments should be submitted on the due date before class begins. If you must miss a
deadline, you must let me know before the due date of the assignment. Late work will be
subjected to a 2 percent points penalty from the final grade. No late work will be accepted
after one class meeting from when the assignment was due.
• If I do not have your assignment and you have not contacted me about late submission, you
will receive a zero on that assignment. If you fail to notify me of any problems associated
with your work (grading error, missing graded assignment) within one class meeting after I
Bhattacharya, Qualitative Data Analysis 14
have returned graded materials, then I will not be able to negotiate an alternate arrangement
with you. Therefore, stay on top of things, monitor your work, and make sure that you talk to
me immediately if there are problems.
Attendance and Participation
You are expected to attend and participate in all classes. Because this class will cover a lot of
material in a short period of time, all in-class meetings are mandatory. If you anticipate missing
more than one class, then I strongly urge you to reflect on whether this semester is the right
semester for you. Any absence in excess of a total of one class from in-class meetings will result
in a decrease of 2 percent points per absence from your final grade. Any discussion of
explanation for your absences should be done privately so as to not use our limited class time
with individual scheduling concerns and also to allow us the privacy needed to address your
issues meaningfully with both of our full attention and focus.
Tardiness and Courtesy to Peers
I see us as professional scholars and therefore we should treat our learning environment with
professional respect. Class will begin and end on time. Please do not be any more than five
minutes late to class. If you are more than five minutes late and repeatedly leave the class early,
you will be marked tardy. Two tardies will equal an absence. This does not mean that there
cannot be any exceptional situations. Please come and talk to me if such situations occur by the
following class period. However, I cannot negotiate your attendance or tardies at the end of the
semester if you have not addressed critical issues with me as they emerged for you. I want to be
sensitive to your extenuating circumstances should they arise, but for that you need to
communicate with me as and when they arise instead of waiting till the end of the semester when
I might not be able to help you in any significant way.
Pagers, cell phones and other noise makers
These must be turned off during class.
End of Semester Negotiations
I am unable to participate in any end of semester negotiations about grades. However, I will
support you in every way possible during the semester to ensure that you perform well in the
class if you communicate any difficulties or concerns with the material with me. Therefore, I
recommend that you take full advantage of a supportive learning environment designed to ensure
your success. Your grade in the course is a direct reflection of your engagement in your own
learning process.
Students with Disabilities
Students with disabilities requesting accommodations should first register with the Disability
Resource Center (352-392-8565, www.dso.ufl.edu/drc/) by providing appropriate
documentation. Once registered, students will receive an accommodation letter which must be
presented to the instructor when requesting accommodation. Students with disabilities should
follow this procedure as early as possible in the semester.”
Course Evaluations
Students are expected to provide professional and respectful feedback on the quality of
instruction in this course by completing course evaluations online via GatorEvals. Guidance on
Bhattacharya, Qualitative Data Analysis 15
how to give feedback in a professional and respectful manner is available at
https://gatorevals.aa.ufl.edu/students/. Students will be notified when the evaluation period
opens, and can complete evaluations through the email they receive from GatorEvals, in their
Canvas course menu under GatorEvals, or via https://ufl.bluera.com/ufl/. Summaries of course
evaluation results are available to students at https://gatorevals.aa.ufl.edu/public-results/.”
Please understand that, despite the expectations outlined above, I do care about you as
individuals and am always willing to listen and be flexible in order to help you have a successful
semester if you are faced with unusually difficult circumstances. Please be in touch with me if
you want a conference to explain your circumstances. I believe that most professors share this
attitude, but often, we do not know enough about our students to be of help to them. Although it
may seem difficult to reach out, it is up to you to seek support when you need it. Do not wait
until you have accumulated absences, fallen behind, and failed to do the required work to discuss
any personal difficulties that are affecting your performance.
Campus Resources
Health and Wellness
U Matter, We Care: If you or a friend is in distress, please contact [email protected] or 352-
392-1575 so that a team member can reach out to the student.
Counseling and Wellness Center: https://counseling.ufl.edu/ , 392-1575
Sexual Assault Recovery Services (SARS): Student Health Care Center, 392-1161.
University Police Department: 392-1111 (or 9-1-1 for emergencies).
http://www.police.ufl.edu/
Academic Resources
E-learning technical support, 352-392-4357 (select option 2) or e-mail to Learning-
[email protected]. https://lss.at.ufl.edu/help.shtml
Career Connections Center, Reitz Union, 392-1601. Career assistance and counseling.
https://career.ufl.edu/
Library Support, http://cms.uflib.ufl.edu/ask Various ways to receive assistance with
respect to using the libraries or finding resources.
Teaching Center, Broward Hall, 392-2010 or 392-6420. General study skills and
tutoring. http://teachingcenter.ufl.edu/
Writing Studio, 302 Tigert Hall, 846-1138. Help brainstorming, formatting, and writing
papers. http://writing.ufl.edu/writing-studio/
Bhattacharya, Qualitative Data Analysis 16
Student Complaints On-Campus: https://sccr.dso.ufl.edu/policies/student-honor-
code-student-conduct-code/
On-Line Students Complaints: https://distance.ufl.edu/student-complaint-process/
Course Schedule
I. We need to engage in radical acts of self excavation through creativity, courage,
honesty, and vulnerability in order to become ethical storytellers.
Module 1 – Traditional Analysis: Self Excavacation, Courage, Creativity, Storytelling and
Pragmatic Possibilities
August 20 Introduction and Syllabus. Write about your research
interest and present a basic draft of data inventory and timeline.
Discussion of data inventory project
Discussion of community engagement
Discussion of dissertation presentations
August 27 Saldana, J. (2003). Dramatizing data: A primer. Qualitative Inquiry, 9(2),
218-236. (scanned on website)
Saldana, J. (2011). An introduction to Ethnotheater and Ethnodrama
Ethnotheater: Research from page to stage (pp. 11-46). Walnut Creek,
California: Left Coast Press. (scanned on website)
AK – Preface (pp. 1-8) (scanned on website)
Sep 4 Data Inventory, Project Description, Timeline Due (Submit in
Canvas).
JS – pp. 1- 42
http://kakali.org/chapter-3s.html
http://scholarcommons.usf.edu/etd/1869/
http://kakali.org/sample-dissertations.html#.UkmhLxbhFUQ
http://kakali.org/sample-dissertation-proposals.html
Identifying structures of dissertation. Identifying structures of chapter 3’s.
How was data analysis done? Class presentation by students. Come
prepared to discuss the following:
▪ What did you notice about how a dissertation/proposal is organized?
▪ What stood out to you methodologically about a qualitative
dissertation/proposal?
▪ What strategies of academic voice were incorporated in the dissertations
and proposal?
▪ How was data analysis conducted and reported?
▪ How were findings reported?
▪ How did issues of trustworthiness and rigor reported?
▪ Based on your experience reviewing these documents, what would you
Bhattacharya, Qualitative Data Analysis 17
like to improve on and incorporate in your own work?
II. There is a performativity to the ways in which we act, the ways in which we understand
such acts, and the ways in which we write/share about these acts.
Module 2 – Creative Analysis: Bridging Performativity with Research, Poetic Inquiry,
Critical Autoethnography, and authentic inquiry
Sep 11 AK- Chapter 2: Flights of the Imagination
Bhattacharya, K. (2013). Voices, silences, and telling secrets: The role of
qualitative methods in arts-based research. International Review of
Qualitative Research, 6(4), 604-627. (scanned on website)
Cahnmann, M. (2003). The craft, practice, and possibility of poetry
ineducational research. Educational Researcher, 32(3), 29-36. (scanned on
website)
Faulkner, S. (2009). Introduction: Why Poetry Poetry as Method (pp. 15-
44). Walnut Creek, California: Left Coast Press. (scanned on website)
Class activity – Poetry workshop – Bring transcripts to class
Make sure you have conducted and transcribed at least one interview
by now and started some preliminary data analysis using any method
of your choice. If you’re doing observations then read Spradley Step 4,
2 from the website.
Sep 18 AK – Chapter 3 – Border Arte
AK – Geographies of Selves – Reimagining Identity
JS – pp. 43-210
You should have collected your second source of data by now.
Write at least 10 minutes a day. Read everyday. Read Spradley’s step
2 and 4 from the website if conducting observations
Sep 25 (Choose three readings from the following)
Alexander, B. K., Moreira, C., & kumar, h. s. (2012). Resisting
(resistance) stories: A tri-autoethnographic exploration of father narratives
across shades of difference. Qualitative Inquiry, 18(2), 121-133. (scanned
on website)
Berry, K. (2012). Reconciling the relational echoes of addiction: Holding
on. Qualitative Inquiry, 18(2), 134-143.
Chawla, D. (2015). Tracing home's habits: Affective Rhythms. In D.
Chawla & S. H. Jones (Eds.), Stories of home: Place, identity, exile (pp. 1-
16). Lanham, Maryland: Lexington Books. (distributed in class and
scanned on the website)
Rambo, C. (2008). An unloaded Gun: Negotiating the boundaries of
identity, incest, and student/teacher relationships. Unpublished. (will send
via email)
Bhattacharya, Qualitative Data Analysis 18
Should have third data source by now. Bring transcripts to class.
Read and write everyday.
Bring all data to class
III. How do we understand the narratives in the lives of the participants? What lenses do
we use? How do we make sense of things? How do we make peace with interpretive
understandings?
Module 3 – Critical Analysis: Narrative Inquiry, Phenomenology, Visual Approaches to
Qualitative Research, and Discourse Analysis
Oct 2
JK – Chapter 1: Locating Narrative Inquiry in Interdisciplinary Context
JK – Chapter 5: Narrative Data Collection: Excavacating Stories
Michael Watson Dissertation
Bring all data to class
Oct 9 FIRST METHODOLOGICAL PAPER DUE
JK – Chapter 6: Narrative Data Analysis and Interpretation: Flirting with
Data
JS – pp. 211-232
NVivo Demonstration
Download trial version of NVivo before coming to class next week.
Have digital copies of your data ready to play.
Oct 16 Phenomenological Approaches to Qualitative Research
http://nsuworks.nova.edu/cgi/viewcontent.cgi?article=1486&context=tqr
http://nsuworks.nova.edu/cgi/viewcontent.cgi?article=1555&context=tqr -
https://www.ualberta.ca/~iiqm/backissues/3_1/pdf/groenewald.pdf
Glynn Bogard’s Dissertation
Bring all data to class
Oct 23 Visual and Sensory Approaches to Qualitative Research
Mitchell, C., & Weber, S. (1998/2006). Picture this! Class line-ups,
vernacular portraits, and lasting impressions of school. In J. Prosser (Ed.),
Image-based research: A sourcebook for qualitativer researchers (pp.
197-213). New York, NY: Routledge. (scanned on website)
Pink, S. (2015). Rethinking ethnography through the senses Doing sensory
ethnography (pp. 1-51). London, UK: Sage. (scanned on website)
Wetton, N. M., & McWhirter, J. (1998/2006). Images and Curriculum
Development in Health Education. In J. Prosser (Ed.), Image-based
research: A sourcebook for qualitative rseearcher (pp. 263-284). New
York, NY: Routledge. (scanned on website)
Individual work for next week discussed in class.
Bhattacharya, Qualitative Data Analysis 19
Bring all data to class
Oct 30 NO CLASS - Work on Your Own – AESA Conference
Discourse Analysis
Rose, G. (2007). discourse analysis I: text, intertextuality, context Visual
methodologies: An introduction to the interpretation of visual materials
(pp. 141-171). London, UK: Sage.
Trisha Gott – Dissertation
Amy Mathews Perez – Grounded Practical Discourse Analysis
Dissertation
IV. In what ways could we consider creative possibilities while conducting inquiry and
writing up findings in qualitative research?
Module 4 – Representation: Writing, Representation, Due Diligence, Trustworthiness and
Rigor in Qualitative Research
Nov 6 JS – pp. 233-290
JK – Chapter 7: Narrative Coda, Theorizing Narrative Meaning
AK – Chapter 7: Now let us shift.
Individual work for next week discussed in class.
Nov 13 NO CLASS - Work on Your Own – ASHE Conference
SECOND METHODOLOGICAL PAPER DUE VIA CANVAS
AK – Chapter 5: Putting Coyolxauhqui Together
Nov 20 Barone, T., & Eisner, E. (2011). What are some criteria for assessing arts
based research? Arts Based Research (pp. 145-155). Thousand Oaks, CA:
Sage.
Tracy, S. (2010). Qualitative quality: Eight “Big-Tent” criteria for
excellent qualitative research. Qualitative Inquiry, 16(10), 837-851.
AERA. (2009). Standards for reporting on humanities-oriented research in
AERA publications. Educational Researcher, 38(6), 481-486.
Nov 27 Work on final products, receive feedback. Discussion of draft of chapter
three.
Dec 4 Community Engagement Reflections Shared in Class
Feedback on final products as needed.Wrap up
Dec 9 All final products due via Canvas
Any part of the syllabus can be changed based on class needs and instructor discretion. All
changes will be notified to the students in writing. I reserve the option to widen the point range
for letter grades.
Bhattacharya, Qualitative Data Analysis 20
Bibliography
General introductions to data analysis
Bauer, M. W., & Gaskell, G. (Eds.). (2000). Qualitative researching with text, image and
sound: A practical handbook. London: Sage.
Coffey, A., & Atkinson, P. (1996). Making sense of qualitative data: Complementary
research strategies. Thousand Oaks: Sage.
Hollway, W., & Jefferson, T. (2000). Doing qualitative research differently: Free
association, narrative and the interview method. London: Sage.
Merriam, S. B., & Associates (Eds.). (2002). Qualitative research in practice: Examples
for discussion and analysis. San Francisco: Jossey-Bass.
Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded
sourcebook (2nd. ed.). Thousand Oaks: Sage.
Grounded theory
Charmaz, K. (2000). Grounded theory: Objectivist and constructivist methods. In Denzin,
N. K. & Lincoln, Y.S. (Eds.). Handbook of qualitative research (2nd Ed.) pp. 509-
535. Thousand Oaks, CA: Sage.
Charmaz, K. (1983). The grounded theory method: An explication and interpretation. In
R. M. Emerson (Ed.), Contemporary field research (pp. 109-126). Boston: Little
Brown.
Dey, I. (1999). Grounding grounded theory: Guidelines for qualitative inquiry. San
Diego: Academic Press.
Glaser, B. G., & Strauss, A. L. (1967). The discovery of grounded theory: Strategies for
qualitative research. New York: Aldine de Gruyter.
Hutchinson, S. A. (1990). Education and grounded theory. In R. R. Sherman & R. B.
Webb (Eds.), Qualitative research in education: Focus and methods (pp. 123-
140). London: Falmer.
Strauss, A. L., & Corbin, J. (Eds.). (1997). Grounded theory in practice. Thousand Oaks,
CA: Sage.
Conversation Analysis and Ethnomethodology
Baker, C. D. (2000). Locating culture in action: Membership categorisation in texts and
talk. In A. Lee & C. Poynton (Eds.), Cuture and text: Discourse and methodology
in social research and cultural studies (pp. 99-113). St Leonards: Allen & Unwin.
Hutchby, I., & Wooffitt, R. (1998). Conversation analysis: Principles, practices and
applications. Cambridge, UK: Polity Press.
Bhattacharya, Qualitative Data Analysis 21
Myers, G. (2000). Analysis of conversation and talk. In M. W. Bauer & G. Gaskell
(Eds.), Qualitative researching with text, image and sound: A practical handbook
(pp. 191-206). London: Sage.
Psathas, G. (1995). Conversation analysis: The study of talk-in-interaction. Thousand
Oaks, CA: Sage.
Narrative analysis
Bell-Scott, P. (ed). Life notes: Personal writings by contemporary Black women. New
York: W. W. Norton & Co.
Bell-Scott, P. (ed.). with Johnson-Bailey, J. (1998). Flatfooted truths: Telling Black
women’s lives. New York: Henry Holt & Co.
Clandinin, D. J., & Connelly, F. M. (2000). Narrative inquiry: Experience and story in
qualitative research. San Francisco: Jossey-Bass.
Cortazzi, M. (2001). Narrative analysis in ethnography. In P. Atkinson & A. Coffey & S.
Delamont & J. Lofland & L. Lofland (Eds.), Handbook of ethnography (pp. 384-
394). London: Sage.
Cortazzi, M. (1993). Narrative analysis. London: Falmer.
Daiute, C., & Lightfoot, C. (Eds.). (2004). Narrative analysis: Studying the development
of individuals in society. Thousand Oaks: Sage.
Horsford, S. D., & McKenzie, K. B. (2008). Sometimes I feel like the problems started with
desegregation: Exploring Black superintendent perspectives on desegregation policy.
International Journal of Qualitative Studies in Education (QSE), 21(5), 443-455.
Kaufmann, J. (2007). Transfiguration: a narrative analysis of male‚Äêto‚Äêfemale transsexual.
International Journal of Qualitative Studies in Education (QSE), 20(1), 1-13.
Mishler, E. G. (1995). Models of narrative analysis: A typology. Journal of Narrative
and Life History, 5(2), 87-123.
Ochs, E., & Capps, L. (2001). Living narrative: Creating lives in everyday storytelling.
Cambridge, MA: Harvard University Press.
Ethnographic analysis
Goetz, J. P. (1976). Behavioral configurations in the classroom. Journal of Research and
Development in Education, 9(4), 36-49.
Lofland, J., & Lofland, L. (1995). Analyzing social settings: A guide to qualitative
Bhattacharya, Qualitative Data Analysis 22
observation and analysis. (3RD edn.). Belmont, CA: Wadsworth Publishing
Company.
Spradley, J. P. (1980). Participant observation. New York: Holt, Rinehart & Winston.
Phenomenology
Bottorff, J. (1991). The lived experience of being comforted by a nurse. Phenomenology
and Pedagogy, 9, 237-252.
Pollio, H. R., Henley, T. B., & Thompson, C. J. (1997). The phenomenology of everyday
life. New York: Cambridge University Press.
van Manen, M. (1990). Research lived experience: Human science for an action sensitive
pedagogy. London, Ontario: State University of New York Press.
Alternative approaches to representation
Barone, T. & Eisner, E. (1997). Arts-based educational research. In R. Jaeger (Ed.).
Complementary methods for research in education (2nd ed). pp. 73-99. Washington, DC:
American Educational Research Association.
Brady, I. (2003). The time at Darwin's Reef. Walnut Creek, CA: AltaMira Press.
Clair, R. P. (Ed.). (2003). Expressions of ethnography. Albany, NY: State University of
New York Press.
de Carteret, P. (2008). Storytelling as research praxis, and conversations that enabled it to
emerge. International Journal of Qualitative Studies in Education (QSE), 21(3), 235-249.
Denzin, N. (2003). Performance ethnography: Critical pedagogy and the politics of
culture. Thousand Oaks: Sage.
Denzin, N. (1997). Interpretive ethnography: Ethnographic practices for the 21st
century. Thousand Oaks: Sage.
Glesne, C. (1999) Improvising a song of the world: Language and representation. In
Becoming qualitative researchers: An introduction. (2nd ed). pp. 175-192. New
York: Longman.
Honan, E. (2007). Writing a rhizome: an (im)plausible methodology. International Journal of
Qualitative Studies in Education (QSE), 20(5), 531-546.
Josephs, C. (2008). The way of the s/word: storytelling as emerging liminal. International
Journal of Qualitative Studies in Education (QSE), 21(3), 251-267.
Mienczakowski, J. (2001). Ethnodrama: Performed research: Limitations and potential.
In P. Atkinson & A. Coffey & S. Delamont & J. Lofland & L. Lofland (Eds.),
Bhattacharya, Qualitative Data Analysis 23
Handbook of Ethnography (pp. 468-476). London: Sage.
Miller, D. M. (2008). Shades of gray: An autoethnographic study of race in the academy.
International Journal of Qualitative Studies in Education (QSE), 21(4), 347-373.
Pelias, R. J. (2004). A methodology of the heart: Evoking academic and daily live.
Walnut Creek, CA: AltaMira Press.
Richardson, L. (2002). Poetic representation of interviews. In J. Gubrium & J. A.
Holstein (Eds.), Handbook of interview research: Context and method (pp. 877-
892). Thousand Oaks: Sage.
Richardson, L. (1999). Feathers in our CAP. Journal of Contemporary Ethnography,
28(6), 660-668
CAQDAS
Weitzman, E. A. (2000). Software and qualitative research. In Denzin, N. K. & Lincoln,
Y.S. (Eds.). Handbook of qualitative research, 2nd Edition. Thousand Oaks, CA:
Sage, pp. 803-820.
QSR’s bibliography of texts:
http://www.qsr.com.au/resources/literature/booksonnvivo/Bibliography.pdf
Theorizing and data analysis
Becker, H. S. (1998). Tricks of the trade: How to think about your research while you're
doing it. Chicago: The University of Chicago Press.
Feldman, M. S. (1995). Strategies for interpreting qualitative data. Thousand Oaks:
Sage.
Mithaug, D. E. (2000). Learning to theorize: A four-step strategy. Thousand Oaks: Sage.