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Coding: Analyzing and Interpreting Data

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by Kerri Flinchbaugh on 9 June 2014

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Transcript of Coding: Analyzing and Interpreting Data


is the primary way you will analyze and interpret your data.
involves reading (and re-reading) your textual data to discover and label categories and their interrelationships.
labeled sections of data that a researcher identifies as significant to some fact(s) the data represents.
abstract representations of events, objects, actions, or interactions that allow the researchers to group similar information together in order to better understand the data.
Categories or Themes
Axial Coding
confirm that your concepts and categories accurately represent the data overall and
explore how your concepts and categories are related.
Coding: Analyzing and Interpreting Data
the overarching ideas found in the researcher's data that connect similarities and common properties of the concepts or terms.
Open Coding
Concepts or Terms
Reflection
What concepts/terms and categories/themes did you notice?
What idea(s) stand out to you as significant?
What idea(s) stand out to you as surprising?
What do you think these results mean for you, as an individual? For the whole group? For your research question?
What is your next step?
Metaphor Map
Examples
Use your concepts and categories while re-reading texts to
Homework
Continue revising research proposals and collecting & analyzing data
Complete reflections and finish Metaphor Maps
Tuesday, February 25th - meet with writing groups
By Thursday, February 27th - add new section to research proposals called Data Analysis and Interpretation (adds an additional 500 words to your proposal) where you will describe how, specifically, you coded your data sets and what emerged in the process (may be helpful to focus on the top 3-5 most significant findings, describing and discussing them in detail)
Kerri Bright Flinchbaugh
flinchbaughk@ecu.edu
Joyner 1010
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