What to look for when you are coding Example #1: Coding Example #2: Coding Example #3: Coding Example #4: Coding Computer software Key Terms Summary References C
Trang 1Chapt tter rr 8: :: CODI II NG OF QUALI IITATI II VE DATA
CHAPTER OVERVIEW
Preamble
What is coding?
What to look for when you are
coding
Example #1: Coding
Example #2: Coding
Example #3: Coding
Example #4: Coding
Computer software Key Terms
Summary References
CONTENTS
Chapter 1: Introduction to Qualitative Research
Chapter 2: Qualitative Data Collection Method
Chapter 3: Ethnography
Chapter 4: Case Study
Chapter 5: Action Research
Chapter 6: Other Qualitative Methods
Chapter 7: Qualitative Data Analysis
Chapter 8: Coding of Qualitative Data
CHAPTER LEARNING OUTCOMES
When you have completed this chapter you will be able to:
Discuss the techniques of coding qualitative data
Apply data coding techniques when analysing qualitative data
Trang 2Since coding is an important and sometime most difficult phase of qualitative data analysis, this chapter has been devoted to the coding phase Several examples are provided to illustrate how coding is done However, the coding method shown is not the only way to go about coding qualitative data as there are several other methods
Let us repeat what was discussed in Chapter 7 about coding Coding is the process
of examining the raw qualitative data which will in the form of words, phrases, sentences
or paragraphs) and assigning CODES or labels Strauss and Corbin (1990) identified the following types of coding: Axial coding and Open Coding (see Figure 8.1)
Data
[from a Transcript]
OPEN CODING
Code or Label words and phrases found in the transcript or text
AXIAL CODING
Create Themes or Categories by grouping
codes or labels given to words and phrases
PREAMBLE
WHAT IS CODING?
Trang 3 Open Coding – You “sweep” through the data and mark (by circling or highlighting) sections of the text selected codes or labels For example, you circle words or phrases describing the behaviour of the head of department
Axial Coding – Eventually, you have a large number of codes and you will find it necessary to sort them into some sort of order or into groups and this is called axial coding Two common types of axial coding are: Non-hierarchical or Hierarchical
Non-Hierarchical: For example, in a study a the researcher asked a group of adults how they take a break from their normal work The responses are grouped are
grouped as follows in a non-hierarchical manner (also called flat coding)
CODES / LABELS
Hierarchical: Here you find that several codes group together as types or kinds of something You need to put some of the codes or labels into a group of their own or make them sub-codes, i.e a hierarchical arrangement of codes, like a tree, a branching arrangement of sub-codes Ideally, codes in a tree relate to their parents by being 'examples of ', or 'contexts for ' or 'causes of ' or 'settings for ' and so on For example, a researcher was doing a study on friendship‟ and asked a group of adults their views on the topic and the following is the classification
take a holiday,
go out for a walk,
read a book,
watch TV,
take a nap,
wander round the garden,
work out at the gym,
go for a drink with friends,
go for a drive,
play a computer game,
follow a hobby,
do voluntary work
Adults taking a break from work THEME / CATEGORY
Trang 4THEME / CATEGORY CODES / LABELS
Friendship types
Close friend
Sporting
Club
Non-club
Work
Changes in Friendship
Making new friends
New same sex friends
New different sex friends
Losing touch
Becoming sexual relationship
the data into meaningful analytical units (i.e., segmenting the data) When you locate meaningful segments, you code them
Coding is defined as marking the segments of data with symbols, descriptive words, or category names
To recap, whenever you find a meaningful segment of text in a transcript, you assign a code or label to signify that particular segment You continue this process until you have segmented all of your data and have completed the initial coding Next, you find relationships between the codes or labels and group them into themes or categories During coding, you must keep a master list (i.e., a list of all the codes that are developed and used in the research study) Then, the codes are reapplied to new segments of data each time an appropriate segment is encountered
Most typically, when coding, you usually have some codes already in mind and are also looking for other ideas that seem to arise out of the data According to Charmaz (2003), you should ask the following questions about the data you are coding:
Sub-codes
Sub-codes
WHAT TO LOOK FOR WHEN YOU ARE CODING
Trang 5 What is going on?
What are people doing?
What is the person saying?
What do these actions and statements take for granted?
How do structure and context serve to support, maintain, impede or change these actions and statements?
Lewins, Taylor & Gibbs, (2005) provide a more detailed list of the kinds of things that can be coded (see Table 8.1) The examples of each kind tend to be descriptive because it makes it is easier to explain the phenomena However, when you are coding it
is advisable to move from descriptive codes to more analytic ones as quickly as possible
1 Behaviours, specific acts Seeking reassurance, Bragging
2 Events – short once in a lifetime events or things
people have done that are often told as a story
Wedding day, day moved out
of home for university, starting first job
3 Activities – these are of a longer duration, involve
other people within a particular setting
Going clubbing, attending a night course, conservation work
4 Strategies, practice or tactics Being nasty to get dumped,
Staying late at work to get promotion
5 States – general conditions experienced by people
or found in organisations
Hopelessness “I‟ll never meet anyone better at my age” settling for someone who is not really suitable
6 Meanings – A wide range of phenomena at the
core of much qualitative analysis Meanings and
interpretations are important pars of what directs
participants actions
The term „chilling out‟ is used
by young people to mean relaxing and not doing very much
a What concepts do participants use to
understand their world? What norms,
values, and rules guide their actions
b What meaning or significance it has for
participants, how do they construe events,
what are the feelings
Jealousy “ I just felt why did she get him”
c What symbols do people use to
understand their situation? What names do
they use for objects, events, persons, roles,
setting and equipment?
A PhD is referred to as „a test
of endurance‟ (because finishing a PhD is a challenge)
7 Participation – adaptation to a new setting or
involvement
About new neighbours “In my new house I have to keep my
Trang 6music down at night as the neighbours have young children”
8 Relationships or interaction Seeing family “ Now my sister
lives in the next road she visits more and we‟ve become much closer
9 Conditions or constraints Lose of job (before financial
difficulties), moving away (before lost contact with old friends)
attitude attracts opportunities
11 Settings – the entire context of the events under
study
University, work place, housing estate
12 Reflexive – researcher‟s role in the process, how
intervention generated the data
Probing question “How did you feel when he said that?”
Table 8.1: Types of phenomena that can be coded
Refer to this EXAMPLE in which a researcher interviewed several staff in an office
and asked this question: “What specific problems that needed immediate action in your organisation”?
The following are some of the responses to the question Try to code the data and compare your themes / categories with the themes / categories provided below:
LEARNING ACTIVITY
a) What is coding?
b) What is the difference between open and axial coding?
c) What do you look for when coding data?
d) Lewins, Taylor & Gibbs (2005) provide a list of phenomena that is often coded What are they? Are there others?
EXAMPLE #1: CODING QUALITATIVE DATA
Trang 7Table 8.2 Reponses of subjects in an office
The responses to the question: “What specific problems that needed immediate action in your organisation”?
There is not enough space for everyone
Our office furniture is dated and needs replacing
We nee a better cleaning service for the office
We need more objective recruitment and hiring standards
We need objective performance appraisal and reward system
We need consistent application of policy
There are leadership problems
Unproductive staff should not be retained
Each department stereotypes of other departments
Decisions are often based on inaccurate information
We need more opportunities for advancement here
Our product is not consistent because there are too many styles
There is too much gossiping and criticising
Responsibilities at various levels are unclear
We need a suggestion box
There is a lack of attention to individual needs
There is favouritism and preferential treatment of staff
More training is needed at all levels
There need to better assessment of employee ability and performance can be
more objectively based
Training is needed for new employees
Many employees are carrying the weight of other untrained employees
There is a pecking order at every level and within every level
Communication needs improving
Certain departments are put on a pedestal
There are too many review levels for our products
Too many signatures are required
There is a lot of overlap and redundancy
The components of our office work against one another rather than a team
We need more computer terminals
Trang 8THE DATA IS CODED INTO THE FOLLOWING CATEGORIES:
CATEGORIES DATA
Management Issues
There are leadership problems
We need a suggestion box
There is a lack of attention to individual needs
There is favouritism and preferential treatment of staff
Decisions are often based on inaccurate information
We need consistent application of policy
Physical Environment
We nee a better cleaning service for the office
Our office furniture is dated and needs replacing
We need more computer terminals
There is not enough space for everyone
We need more objective recruitment and hiring standards
We need objective performance appraisal and reward systems
Non-productive staff members should not be retained
There need to be better assessment of employee ability and performance so that promotions can be more objectively based
Employee Development
More training is needed at all levels
Training is needed for new employees
Many employees are carrying the weight of other untrained employees
We need more opportunities for advancement here
Intergroup and Interpersonal Relations
The office is “turf” oriented
There is a lot of “us and them” sentiment here
Trang 9 There is pecking order at every level and within every level
Communication needs improving
There is too much gossiping and criticising
Certain departments are put on a pedestal
Each department has stereotypes of the other departments
Work Structure
There are too many reviews for our product
Too many signatures are required
Responsibilities at various levels are unclear
The components of our office work against one another rather than as a team
There is a lot of overlap and redundancy
Our product is not consistent because there are too many styles
LEARNING ACTIVITY
Try coding this short passage about Terry in Example #2
Trang 10The example below show the coding of a short passage of text about a Terry moving out of his parents home and becoming independent
Terry
“When you move into your own home, you're alone There is no bustle of people around the house I miss having someone to chat to when I get home I put the TV
or some music so there’s some background noise, the silence makes me feel so alone Sometimes I will be sat watching trash TV and thinking I should be out doing
something rather than watching this rubbish I read a lot but sometimes I am too tired and just want to veg out But it's been good to move out of mum and dad’s as it's not healthy to rely on them as they won't last forever I become independent and made my own decisions It's good they still there when I need them It's good to have some distance as when I was at home I was arguing a lot with my dad and that was what made me decide it was time to go.”
EXAMPLE #2: CODING QUALITATIVE DATA
Trang 11In Example #2, to help the analyst mark up the page, the text has been printed using double spacing, so that it is possible to write code ideas and code labels between the lines
DESCRIPTIVE CODING AND NOTES
Trang 12The analyst has read the text carefully and circled what seem to be key terms or key events or actions A short note of what these are has been written besides the circling These are the start of descriptive, or what grounded theorists refer to as open coding An initial coding list from this might be:
Own home
Lonely
Independence
Moving out of parents
Conflict
Dependence
Desire for company
These terms summarise the events and actions noted by the coding in Example #2, and some are more analytical, i.e not merely describing something that happened or was said They could form the start of a coding list that could be used to mark-up the rest of this transcript and other similar cases
Trang 13DESCRIPTIVE AND ANALYTIC CODING WITH NOTES
Using the sample data, a wide margin is used, so that code labels and other comments can be written there Print out your transcriptions in whatever way supports your preferred approach to coding the text
Trang 14The codes used are still essentially descriptive but begin to move away from simply summarising what the respondent has said Using brackets to the right of the transcribed text, they also code much larger chunks or passages of text This form of coding is most useful when you go on to make retrievals, i.e gather together all the text about one topic – that is to say, all the text that is coded the same way With larger chunks, the retrieved text is less likely to be decontextualised The analyst has also used a highlighter to identify words that refer to feelings and these words suggest that the passage about living alone is actually about the emotions and feelings associated with living alone
Read the passage of text below about Amanda finding out she was pregnant Look
at the list of codes below and decide which code sums up what is being talked about
in each line of the text (you may use a code more than once)
List of codes
LEARNING ACTIVITY
Try coding this short passage about Amanda
EXAMPLE #3: CODING QUALITATIVE DATA