Flexible Learning Environments: Minoritized College Students’ Experiences in HyFlex




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Step 
Data analysis process 
Description 

Third cycle coding: 
Direct answers to 
research questions 
This step was similar to Step 1 and Step 2 combined, but 
this time I was looking specifically at how participants’ 
responses helped answer the research questions of the 
study. All transcripts were recorded and new categories 
aligned to answer the research questions.

Synthesizing themes: 
Frequency of codes 
Run queries in NVivo coding using nodes from Cycles 2 
and 3 to identify areas of divergence and convergence 
among all participants

Grouping and theme 
selection 
After all cycles of coding were complete and nodes were 
combined and synthesized into fewer categories, I 
applied the theoretical framework to the findings.
During Step 2, following grounded theory methodology (Charmaz, 2014), I began the 
coding process performing one round of first cycle coding. I used NVivo software for coding all 
interview transcripts. Once all transcripts were uploaded into NVivo, I began creating codes, or 
nodes as they are called in NVivo. This process of first cycle coding involved identifying 
sentences, passages, and paragraphs of data and using gerunds instead of nouns as codes. The 
reason for using gerunds, as Charmaz (2014) explained, is gerunds help bring to surface 
underlying processes that may not be revealed by using nouns as codes.
I moved to second cycle coding to begin developing categories for Step 3 in my process. 
During this step, I combined code/nodes from into categories and recombined them to narrow 
down to a more manageable number of categories. At this point in the process, I began to look 
for areas where codes and/or categories converged or diverged and how and wrote memos 
reflecting on ways I could combine further in a cohesive and coherent manner. Nodes that 
converged were combined into categories, and nodes that diverged were kept as their own 
category. Some categories became dead ends or unviable, and at this point I began to solidify 
what would be my final themes. 


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Step 4 was similar to Step 1 and Step 2 combined, but this time I was looking specifically 
at how participants’ responses helped answer the research questions of the study. During this 
step, I was not looking to create or refine codes; instead, I was looking at what their direct 
responses to the research questions were. All transcripts were recoded and new categories 
created to align to the research questions. 
During Step 5, I ran queries in NVivo using nodes from the second and third cycles to 
identify areas of divergence and convergence among all participants. I was hoping to find 
extreme examples that may bring insights by nature of being outliers. I did not find any instances 
that could be considered extreme divergences, so that become a dead end, and I returned to 
looking for commonalities or areas of convergence. This proved more fruitful; thus, I moved to 
the next step in the process. 
During this sixth and last step, I began reorganizing codes into more condensed 
groupings and as themes began to emerge there was a moment when I thought I had too many 
themes. I took a couple of days away from the data and came back with an idea for narrowing 
down to the three most salient themes that would speak to the research questions and be 
interesting to instructional design and technology professionals as new lines of inquiry and 
practice. At this point I revisited the theoretical framework to apply it to the findings. Rather than 
weave the theoretical framework throughout the findings narrative, it made more sense and 
seemed more practical to write a subsection title “Manifestations of Agency” in which I apply 
the framework to the findings.
In this section I have detailed my data analysis process and how I arrived to selecting my 
final themes. In the next section I introduce the participants, not as sources of data, but rather as 


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people with complex lives and diverse circumstances with HyFlex learning as a common thread 
in their lived experiences. 

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Flexible Learning Environments: Minoritized College Students’ Experiences in HyFlex

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