COMN 2200: Qualitative Inquiry in Communication: Thematic Analysis Assignment
Due Nov 22 by 11:59 pm, Uploaded on Canvs
(100 points available)
Assignment Description: In this assignment, students bring together their work across the quarter, completing a formal written report and data visualization of the findings from their research project. The learning goals of this assignment are honing student conceptual analytic thinking and data visualization skills. Its long-term learning goals are fostering a deep sense of enjoyment and qualitative analysis competency that students will carry with them and use long after this course ends. This assignment is due no later than 11:59 pm on Tuesday, Nov. 22, uploaded to Canvas. (Note: our class will not meet during its regularly scheduled final exam period. In lieu of a final exam, the Thematic Analysis Assignment (including the data visualization) needs to be uploaded by its due date.
At the beginning of this course, you developed a research proposal based on a research question of significance to you and your research participants. After which you conducted and transcribed three research interviews. Since then, you have been working your way through the initial phases of reflexive thematic analysis. Across this time, you have been actively engaging in researcher reflexivity, regularly reporting and reflecting on the progress and process of your research. In this assignment, you pull all of this work together. Drawing upon your transcript data, research journal writing, and Phases 1-3 of data analysis, complete “Phase 4: Developing and reviewing themes” with an accompanying “Data Visualization.” Enjoy the process!
You can think of data visualization as a non-linear representation of the core insight or “finding” your research project that captures the most significant take-away for you and your research participants. The data visualization functions like a conceptual vessel—a synthesizing diagram. This can include a maps, charts, figures, models.
Prior to completing this assignment, you need to do the following:
1. Gather all your research materials:
a. Gather all the reflexive research writing you’ve done for this course in one place (for many of you, this is compiled in your reflexive research journal, for others, you may need to collect various writings you have done in and out of class).
b. Gather your three transcribed and coded interviews
c. Gather the data analysis you have completed for Phases 1-3 (Many of you will find that you can conveniently download these from Canvas: Phase 1: Data Familiarizations Notes, Phase 2: Code Labels with Data Extracts, and Phase 3: Generating Initial Themes)
2. Now you have your research materials collected, you can begin Phase 4: Developing and Reviewing Themes & Phase 5: Refining, Defining, & Naming Themes
a. For detailed instructions, see course Power Point Slide deck “Themes & Data Extracts”
b. Other resources: Chapter 4, TA, and Chapter 5, pp. 133-183 (on selecting data extracts)
3. Complete your Data Visualization
a) Using the knowledge that you have gained about data visualization, create a visual representation to represent your overall analytic framework. How does your thinking fit together? What can visually capture all the pieces of the puzzle? How can you put this into visual form that to “gift wrap” the core finding of your projects for others? This “wrapping” will be at the core of your final oral presentation – It will take center stage. Imagine yourself “unwrapping” your visual for your fellow COMN 2200 classmates and professor – what will BEST help you tell the story of your project and communicate the significance of its findings for you and your research participants?
b) Data Visualization Resources
· -Library GuidesGeneral/InterdisciplinaryInformation Visualization: a) Rd What is Information Visualization; b) Link: Interactive Table of Various Types of Visualizations: Find Periodic Table of Visualization Methods: Hover over & study each as possible resources for your own visualization
· -Smart Art in Word (be cautious, when using Smart Art that you are not including design elements that do not advance your overall message or key finding—sometimes less is more)
· Contact  , the Science and Engineering Reference Librarian, for a research consultation:
· Module: Week 9: Data Visualization. See the Past Student Examples of Data Visualizations, and Data Visualization PowerPoint slide deck
Template for Your Write Up
Follow this template to guide you in writing up your thematic analysis. Create headers for the bolded sections. Do not include the italicized sections in your write up. They are meant to provide more direction. See our Canvas course site for more resources.
Statement of Research Question
Statement of Project Significance for Student and Research Participants (3-5 Sentences)
Presentation of Themes (most students will have 3 Themes)
Theme #1 Name ( A good theme name is a short phrase, or perhaps a heading and subheading, that captures the essence of the theme and engages the reader)
Theme #1 Definition (Is typically 3-5 sentences; Functions as an abstract for the theme; Clarifies the theme’s central organizing concept or key take-away point; Clarifies the theme’s scope and boundaries, what it includes (and maybe excludes); Clarifies how the theme relates to other themes and its subthemes; Clarifies how the theme relates to your research question)
Data Extract #1 from Interview #1 (Include line numbers) (Your data extracts need to a) evidence your themes & b) allow the reader to judge the fit between your data and your theme definitions and names. Select vivid examples. Select clear and concise extracts. Select 3 data excerpts that evidence the central organizing concept for each theme (Note: one extract needs to come from each of your three interviews). Select other extracts to illustrate the different facets of the theme’s expression. Remove irrelevant material in the middle of an excerpt. Indicate the removed text with […]
Clarification and Contextualization: Explain your interpretation – how do you see this specific extract exemplifying your theme?? Provide clarifying information for the extract: For example, quote contains ambiguous reference to ‘her’ (e.g. ‘I told her…’). Include clarification in square brackets within the quoted data (e.g. ‘I told her [officemate]’ or ‘I told [officemate]’). Provide contextualization with relevant information when you introduce the extract . What does the reader need to know to understand the extract? Explain where it came from in the data)
Data Extract #2 from Interview #2 (Include line numbers)
Clarification and Contextualization
Data Extract #3 from Interview #3 (Include line numbers)
Clarification and Contextualization
Theme #2: Name
Theme #2: Definition
Data Extract #1 from Interview #1 (Include line numbers)
Clarification and Contextualization
Data Extract #2 from Interview #2 (Include line numbers)
Clarification and Contextualization
Data Extract #3 from Interview #3 (Include line numbers)
Clarification and Contextualization
Theme #3: Name
Theme #3: Definition
Data Extract #1 from Interview #1 (Include line numbers)
Clarification and Contextualization
Data Extract #2 from Interview #2 (Include line numbers)
Clarification and Contextualization
Data Extract #3 from Interview #3 (Include line numbers)
Clarification and Contextualization
Data Visualization
Data Visualization Note: The note explains the meaning of the visual’s use of color and design elements to communicate their core finding. The note discusses how their visual/figure conveys meaning (positioning of elements of design in relation to one another, arrows, Venn diagrams, funnels, charts, concentric circles, overlaps, gradations of color, line types–dashes, dots, thick, thin, etc.).


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