Braun And Clarke Analysis Flashcards

1
Q

First step is to?

A

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

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2
Q

All codes must be?

A

RelivAnt to answering my research question

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3
Q

How to collect data?

A

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

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4
Q

What should I do with new codes?

A

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

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5
Q

What should the codes achieve?

A

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

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6
Q

How will I know phase 2 is finished?

A

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

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7
Q

What is phase 3?

A

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

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8
Q

What must a theme do?

A

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

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9
Q

I can display my themes and quotes using?

A

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

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10
Q

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

A

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

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11
Q

Codes that don’t fit anywhere?

A

Miscellaneous theme

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12
Q

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

A

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

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13
Q

How many themes?

A

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

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14
Q

How to finish phase three?

A

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

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15
Q

What is faze four?

A

Reviewing potential themes.

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16
Q

Is this a theme?

A

It could just be a code

17
Q

What is the quality of theme?

A

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

18
Q

Boundaries of theme?

A

What does it include and exclude?

19
Q

Quantity of meaningful data for this theme?

A

Is it too thin or too thick?

20
Q

Is it coherent?

A

Too diverse?

21
Q

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

A

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

22
Q

Phase 5?

A

Define and name theme.

23
Q

A good theme will?

A

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

24
Q

A good name for a theme is?

A

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

25
What must write up do?
Form a good argument that Andrews my research question.
26
If I have a key theme?
Put in first to link all others too
27
Data extracts in write up must be accompanied by?
Analysis explaining relevance to research q
28
A good theme will?
Incorporate data across the whole interview not just 1 question and not try to include too much
29
If I am sure if it's relivAnt to research question?
Code it and discard later
30
How can I prove my theme is justified
Use tables and analysis as evidence of it across your data set.
31
Must ensure from analysis
Data claims are justified and fit within theoretical position
34
Must order themes carefully too?
Express a meaningful relationship between them which tells a coherent story about the data.