Work in Global Society

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WorkinGlobalSocietydataanalysisPPTweek7.pptx

Work in Global Society

Analysing qualitative data

1

So you’ve done your interview…what next?

Transcribe the interview (write out the interview word-for-word)

Code your transcript (discussed next)

Share your transcript and coding with your group members

Read through your other group member’s transcripts and codes (and add any that you think are important)

As a group, determine the most important codes and begin to develop into findings for the report

What is coding?

“Coding is the process of organizing and sorting your data. Codes serve as a way to label, compile and organize your data. They also allow you to summarize and synthesize what is happening in your data.

Coding can be done in any number of ways, but it usually involves assigning a word, phrase, number or symbol to each coding category” (Centre for Evaluation and Research 2012: 1).

Think as you code

As you code your data, think of questions such as:

What are they saying?

Why did they say this?

What are they trying to tell me?

What is this an example of?

What is happening here?

How does this relate to my research question?

Why is coding important?

It allows you to effectively extract the most important elements of each interview

It provides a way to find similar themes from each interview

It helps you to think critically about what is being said in each interview

It makes the write-up of the report easier by having the key codes of each interview in one document

Thematically analysing the data

There are five stages to analysing your data (Braun and Clarke, 2006):

Familiarising yourself with the data

Generating initial codes

Searching for themes

Reviewing themes

Defining and naming themes

Producing the report

1. Familiarising yourself with the data

Transcribe your interview

Read, read, and re-read your transcribed interview

Make notes of initial ideas, such as important comments or potential codes that you will use for the next stage

Note down any other important elements of the interviews (such as the way people said things)

2. Generating initial codes

Read through your interview systematically and begin coding the data

Code the interesting discussions from the interview by using key terms, symbols and sentences that identifies the particular code

“If coding manually, you can code your data by writing notes on the texts you are analysing, by using highlighters or coloured pens to indicate potential patterns, or by using ‘post-it’ notes to identify segments of data” (Braun and Clarke 2006: 89)

Code as many themes/patterns as possible (you don’t need to discuss them all, it’s just about having lots to work with)

You may have codes that fit into a few different themes. That is fine!

Do not ignore contradictions or inconsistencies – these are often very interesting

To assist with storing codes, Microsoft Excel can be a useful place to store codes

Activity one

Each student reads through the first page of their interview and begins identifying codes from their transcript. This can be done on the computer or using hard copy. Once you have coded the first page, discuss the key codes with your group, answering:

What are the codes that you have identified?

Why have you identified that code?

How do your codes relate to the research question?

Can any of the codes be categorised into similar overarching themes?

3. Searching for themes

Now you need to collate your initial codes into key themes - you should do this with the codes from all group members

At this stage, “you are starting to analyse your codes and consider how different codes may combine to form an overarching theme” (Braun and Clarke 2006: 89)

Mind maps can be useful in organising codes into overarching themes

During this stage, you are likely to discard some of your codes

4. Reviewing themes

Once you have developed your themes, this stage is focused on refining these themes

You use this stage to eliminate themes that are not strong (e.g. not supported by many interviewees) or don’t address the research question. You may also merge themes during this stage

This stage also requires you to ensure that each code represents the theme. It is crucial that you do not misrepresent your interviewees, so reading through the interviews again to understand the context is important

You do not need to have lots of themes. You may only have a few key themes which will be discussed in detail in your report

“At the end of this phase, you should have a fairly good idea of what your different themes are, how they fit together, and the overall story they tell about the data” (Braun and Clarke 2006: 92)

5. Defining and naming themes

This stage requires you to refine your themes to identify what each theme is about and what aspects of the data each theme covers

“It is vital that you do not just paraphrase the content of the data extracts presented, but identify what is of interest about them and why” (Braun and Clarke 2006: 92)

During this stage, you should write a detailed analysis of each theme, talking about the story that they tell (using examples from the interviews)

You must ensure that your themes talk to the overarching story

You may identify sub-themes in the analysis (themes within a theme)

Your themes must be clear. A good way to test this is that you are able to explain the theme in a couple of sentences

6. Producing the report

You should not begin to produce the final report until you have your themes fully worked out

The write-up must provide a clearly and coherently articulated account of the data and convinces the reader that your interpretation of the themes is valid

Your themes must include sufficient evidence to support it (e.g. multiple examples from the data)

You MUST do more than simply informing the reader of the data. You need to include an analytical narrative that goes beyond description of the data to make an argument related to your research question

How to write up your themes

It is important that discussions of your findings:

Clearly identifies themes

Each theme provides examples from the interviews (no generic discussion)

Quotes are included to highlight a key point made

Do not merely summarise the findings but directly addresses the research question

Your discussions are easy to follow

Campbell et al. (2016) and Brown et al (2010) provide a examples for writing up qualitative research.

Activity two

In groups of 5, students will be given one of the themes from Brown et al (2010). They are:

Work intensity and job satisfaction

Life course and insecurity

Casual identity in the workplace

For your allocated theme, you are reviewers of the article. You should discuss the following:

What are the key findings made within your allocated theme?

Do you think the authors rely too heavily on quotes in this article? What are the benefits and negatives of this approach?

Do the authors make an argument in this theme or do they only describe the data?

You will then present feedback on the approach to the class (as if they are the authors) and any suggestions (if any) to improve the write-up of the themes.