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Use Control 'f' to search for:

-empathy

sympathy

Found few uses of these words
Closed this line of coding.

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I used a word frequency counter for me to get a cursory view of what words occurred the most. This helped me to discover some words that were the same as well as opposite to the word empathy. While I did not use this analysis attempt in my coding, it did help me get perspective on key words used by my students. It also helped me make a word cloud for my Multimodal Introduction for my paper.

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Topic Counts
I did a tally of the 'favorite' topics that the students mentioned. No topics stood out in terms of ranking.
Looked at the highest ranked topics, but nothing in particular stood out in terms of students being more empathetic by topic.
Closed this line of coding.

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First Open Coding
Responses marked for any empathy shown. Responses showed some sort of feeling for another person or the topic.
Codes moved to second open coding.

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Second Open Coding
Second time through looked more closely at what was marked in first run. Ranking started: high, low, medium.

High used strong language of empathetic identification.

Medium were somehow aware of others.

Low was aware but not really enough info to see a deep feeling.

Codes moved to third open coding.

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Third Open Coding
Last go through, every answer given a code level: high, medium, neutral, low, none, or lacking empathy.
Next step to verify these emergent categories.

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Understand Range
To better understand the categories, I filtered the spreadsheet to read from high to low. I looked for (in)consistency in my marking. I made notes and comments to move towards my own rating reliability.

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While confirming and making my category rankings consistent, I started marking new codes that emerged by looking closely at the data and seeing how things were the same and different between responses.
I added more open category codes of proper distance and radical hospitality.
I also added more categories to the original open codes: off task, self-disclosing, self-motivation, and unusual.

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Final codes were:

high empathetic fusion

medium empathetic fusion

neutral expressions of empathy

slight expressions of empathy

lacking empathy

And 'none' were marked as

off task

unusual

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Moving towards a Theoretical Framework
While the empathetic fusion examples were categorized above, these same data were also left with open codes for proper distance and radical hospitality.

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Codes for self-disclosing and self-motivation, were ranked into codes (high, med, neutral, low, lacking ) of the final empathetic fusion codes used for findings and discussion. However, this initial coding was kept to help later with proper distance and radical hospitality initial open coding process for the next action research process.

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My students were doing several group discussions based on presentations they had given. After three weeks of discussions I gave them a formative evaluation to complete. Very simple and open to collect their opinions about the topics (all given by me about international issues in public administration or social welfare).
https://goo.gl/forms/SSRBAwPDBj44qvT42

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We were to collect data for one week. I chose to collect day in one form but from a three week period of student experience. I thought, at the time, that would help me find a particular topic that was most popular for me to narrow in on.