Braun And Clarke Analysis

Question 1

First step is to?

Answer 1

Familiarise self with all data, through reading and listening to it.

Question 2

All codes must be?

Answer 2

RelivAnt to answering my research question

Question 3

How to collect data?

Answer 3

Code on physical copy or use soft where that can collect the quotes and record where they were found.

Question 4

What should I do with new codes?

Answer 4

Continue to apply through text but be aware u are likely to modify code later.

Question 5

What should the codes achieve?

Answer 5

To capture diversity and pattern between the set and occur across at least two data.

Question 6

How will I know phase 2 is finished?

Answer 6

All data fully codes and the data relevant to each code has been collected.

Question 7

What is phase 3?

Answer 7

Reviewing codes to identify areas of overlap, or broad topics to create themes.

Question 8

What must a theme do?

Answer 8

Be drawn from unifying feature of codes. 2. Reflect and discribe a coherent and meaningful pattern in the data. 3. Relevant to research question

Question 9

I can display my themes and quotes using?

Answer 9

A table. Themes or codes across the top and quoted beneath

Question 10

One central theme or concept may draw together most of your other themes because?

Answer 10

Themes should be distinct and also work together to tell an over all story which answers the research question.

Question 11

Codes that don’t fit anywhere?

Answer 11

Miscellaneous theme

Question 12

If coded data or provisional themes don’t die with over all analysis and research question?

Answer 12

Let it go. Only shaping a particular story from research question.

Question 13

How many themes?

Answer 13

Enough to provide detailed rich detailed data. Usually 2-6

Question 14

How to finish phase three?

Answer 14

Table outlining candidate themes. Poss table. Collect all data extracts relevant to each theme.

Question 15

What is faze four?

Answer 15

Reviewing potential themes.

Question 16

Is this a theme?

Answer 16

It could just be a code

Question 17

What is the quality of theme?

Answer 17

Does it answer research q and say something useful about data set?

Question 18

Boundaries of theme?

Answer 18

What does it include and exclude?

Question 19

Quantity of meaningful data for this theme?

Answer 19

Is it too thin or too thick?

Question 20

Is it coherent?

Answer 20

Too diverse?

Question 21

How do I now check that my themes represent the data set in response to the research question?

Answer 21

Read whole data set and check themes embody most important and relevant points of data and overall tone in relation to research question.

Question 22

Phase 5?

Answer 22

Define and name theme.

Question 23

A good theme will?

Answer 23

Relate to others without overlapping and directly address the research question.

Question 24

A good name for a theme is?

Answer 24

Informative consise, memorable. Reflects the focus of the theme. Can use quotes

Question 25

What must write up do?

Answer 25

Form a good argument that Andrews my research question.

Question 26

If I have a key theme?

Answer 26

Put in first to link all others too

Question 27

Data extracts in write up must be accompanied by?

Answer 27

Analysis explaining relevance to research q

Question 28

A good theme will?

Answer 28

Incorporate data across the whole interview not just 1 question and not try to include too much

Question 29

If I am sure if it’s relivAnt to research question?

Answer 29

Code it and discard later

Question 30

How can I prove my theme is justified

Answer 30

Use tables and analysis as evidence of it across your data set.

Question 31

Must ensure from analysis

Answer 31

Data claims are justified and fit within theoretical position

Question 34

Must order themes carefully too?

Answer 34

Express a meaningful relationship between them which tells a coherent story about the data.