coding_transcript.pdf

   

     

     

                                                                                                 

                     

                                                                                     

                                       

                     

                                                 

                                           

           

                                                               

                                   

                                           

                                                                         

                                                                               

                                                     

                 

                                                                       

Introduction to  Coding

Introduction  to  Coding Program Transcript

SUSAN MARCUS: Hello. My  name is  Dr. Susan Marcus, and this  is  an introduction to coding qualitative data. Before we get started, I'm going to give you a definition and some visuals  of what we mean by  coding qualitative data. A  code in qualitative inquiry  is most often a word or  a short phrase that symbolically  assigns  a summative, a summary, a salient or  essence-­capturing attribute, for  some portion of language, or  visual data.

So what does  that mean? With these certain words, short words  or  phrases, we're trying to capture a meaning that's been attributed to, or  contributed to, by  another  source. So the process  of coding means  we identify  distinctive features  of a piece of text, and see if there are similar  features  to other  pieces  of text from  other  sources.

What this  also means  is  you can code just about anything. You can code transcripts   from  videos. You can code transcripts  from  written, or  phone, or  live, interviews. You can also code observations  of a field experience. Or  code observations  of a photo.

So once you get anything that you have observed, and want to include, in your   qualitative data analysis  into a language-­based form, typically  in the form  of a transcript in a word processing document, you can then start the process  of coding. What we're doing is  we're looking for  patterns, similarities  in features, similarities  in order  of presentation, similarities  of context, similarities  in meaning.

So what these marbles  represent are the different thoughts, and feelings, and experiences, each person has  about being in nature. And my  quest as  a qualitative researcher  to see if I can understand each individual's experience, and then look  for   shared meaning across  those experiences. So here's person A. And each type of experience they  share is  noted by  a different marble.

And as  a qualitative researcher  beginning to code, I say, hmm, maybe I can first organize them  according to a distinctive feature. Let's try  color. And as  I'm organizing the marbles, I see, well, some of the colors  are really  distinct, and some of them  are not quite as  distinct as  I thought. But I'm going to group them  together  anyway. So in a sense, I've created a code for  this  person according to color.

Now I'm going to do it with the next person's-­-­ marble's-­-­ experiences. And I'm going to organize them  and sort them  so that they  line up with, to the best that I can surmise, the preceding person. And I'll do the same for  the other  two individuals. And as  I'm doing this, I'm also reflecting in my  mind-­-­ but if I was  doing this  as  a qualitative study, I would be taking notes, writing memos-­-­ about the choices  I was  making about where to group, or  where to put, which marble with which group.

So, obviously, color  is  a really  easy  way  to sort. We could sort on size. We could sort on clarity. We could sort on whether  some of the marbles  were colored, or  solid, or  cat's eyes. And voila. So I've sorted, I've coded each individual's experiences  by  color. And

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Introduction to  Coding

now, as  a qualitative researcher, I want to group these experiences-­-­ and again, we'll do it by  color  just for  the purposes  of illustration-­-­ into larger  patterns  to see if there are similarities  across  these different individuals.

And one of the things, for  example, I would note, is  that while most of the group share this  experience, indicated by  the red marbles  in color, this  person has  a similar  kind of experience, but it's not quite the same. So as  a qualitative researcher, I would make a note-­-­ I'm grouping these codes  together  into a category  that I could call red. Noting that some of the codes  are approximations, but not identical, to the final category. And then I can do that with the other  marbles  as  well.

So again, you can see that I have made groups  of like objects  some of them-­-­ Oh, here's another. Look  at this. I had one set of objects  over  here, but they  actually  can go over  here. And I also have a couple of discrepancies  that don't really  fit in any  particular   category. And so as  a qualitative researcher, I also have to make a decision. Do I want to force, or  try  and make, every bit of information fit into a category, or  do I want to use these as  what we call discrepant cases, to explore what these individual items  or  codes   mean?

So I hope that helps  illustrate what we mean by  the process  of coding. Taking individual bits  of information, grouping them. I could also try  grouping them  with another  approach. For  example, some of these marbles  have two different colors. So I could also see what pattern emerges  if I take marbles  with two different colors  and put them  all in one group. And marbles  with single colors  and another  group. Looks  different.

So that's the idea of approaching coding from  different perspectives. That is, if you code just one way, you get one picture. But if you code taking another  approach, you may  get an entirely  different picture.

The other  point I'd like to share with you is  the choice of doing manual coding. What we mean by  manual coding is  using basic  word processing and spreadsheet tools  to move bits  of data around in order  to create codes, categories, and themes.

The other  alternative, is  computer-­assisted qualitative data analysis  software. There are many, many  choices  available. And of course, the advantage of using a computer   application is  that you have a bit more efficiency. They  have lots  of great visual displays, and other  ways  to manipulate data. The challenge is, most of these software programs   have a very  steep learning curve. So you're learning both how to code qualitative data and learning a software program.

The other  issue is  that because there are so many  different kinds  of programs  to choose from, you, as  you become a more experienced qualitative researcher, and if you choose to go on and do a qualitative dissertation, you may, after  looking at different programs, develop your  own preference. Or  your  chair  may  have a preference for  which one to use. You'll have a chance to work  with smaller  data sets  in this  course, and so using

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Introduction to  Coding

Excel and Word are more than acceptable. And, towards  the end of the course, you'll also have a chance to explore software alternatives.

The other  thing you'll need to do is  create a notebook. It can be in electronic  form, like a Word document, or  an actual notebook  for  handwriting notes. In qualitative research, we call these memos. Which contain your  reflections, your  thoughts, your  descriptions  of your  process, of going from  the data sources, the transcripts, to codes, to categories, and writing up your  results.

As a final note, I just want to encourage you to use this  as  an opportunity  to explore, and develop new skills, and consider  whether  or  not this  type of research is  something that you would like to pursue for  your  dissertation. The act of qualitative data analysis   can be laborious, intensive, and repetitive. But it's also the opportunity  for  discovery, for   something new, that's been generated by  your  participants, for  the data that you've collected, and perhaps  even the opportunity  to discover  something about yourself.

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