qualitative methods 2

Question 1

thematic analysis

Answer 1

method used to identify and analyze patterns across a text based data set that underpins many other approaches in qualitative research

Question 2

how does thematic analysis have a flexible approach

Answer 2

can be used with a wide range of data sources and epistemological standpoint

Question 3

essentialist or realist approach

Answer 3

Focus on experiences, meanings and the reality of participants’ lives. People’s words provide direct access to their inner world.

Question 4

Critical realist approach

Answer 4

Focus on how individuals make meaning of their experiences based on their socio-cultural situation. People’s words provide access to their version of reality.

Question 5

theme

Answer 5

patterned response in your data set that has meaning in relation to the research question

Question 6

there are _____ rules to help you classify themes

Answer 6

no

Question 7

ways in which you can classify themes

Answer 7

percentages, length of response, etc

Question 8

Prevalence may or may not be important, it depends on

Answer 8

your research question, such as most ways something is described, what people think of something, and why people interact with something

Question 9

Types of thematic analysis

Answer 9

Inductive TA and Deductive TA

Question 10

Inductive TA

Answer 10

data-driven with extracted themes grounded in the data.

Question 11

Deductive TA

Answer 11

uses existing theory to guide analysis and the extraction of themes. It moves beyond the semantic meanings offered in the data set.

Question 12

First phase of thematic analysis

Answer 12

Familiarising yourself with your data

Question 13

Second phase of thematic analysis

Answer 13

Generating initial codes

Question 14

Third phase of thematic analysis

Answer 14

Searching for themes

Question 15

Fourth phase of thematic analysis

Answer 15

Reviewing themes

Question 16

Fifth phase of thematic analysis

Answer 16

Defining and naming themes

Question 17

Sixth phase of thematic analysis

Answer 17

Producing the report

Question 18

first stage of familiarization

Answer 18

Get to know your data

Question 19

second stage of familiarization

Answer 19

Repeated reading of your whole data set

Question 20

third stage of familiarization

Answer 20

Active reading

Question 21

fourth stage of familiarization

Answer 21

End phase by making notes on overall observations on the data set

Question 22

Coding

Answer 22

Process of identifying aspects of the data that relate to the research question

Question 23

how should coding be done?

Answer 23

inclusive, thorough & systematic, work through each data set item before proceeding to the next

Question 24

codes provide what

Answer 24

the building blocks of analysis

Question 25

approach to coding depends on

Answer 25

the type of thematic analysis

Question 26

coding can be done at the ___ or the ___ level of meaning

Answer 26

semantic or latent

Question 27

semantic codes

Answer 27

Provides a succinct summary of the explicit content of the data that's based in the semantic meaning of the data, and typically stays close to the content of the data and to participants’ meanings.

Question 28

latent codes

Answer 28

Go beyond the explicit content of the data & provide an interpretation about the data content. Invoke the researcher’s conceptual & theoretical frameworks to identify implicit meanings within the data.

Question 29

Data example: Judy: I think modern technology, like allows you to be lazy as well cos you don’t have to do things for yourself. You can get machines and stuff to do things for you.

Answer 29

Code example: Modern technology facilitates obesity Convenience of modern lifestyles is hard to resist Humans are naturally lazy

Question 30

generating initial codes

Answer 30

End this phase with data coded & codes collated.

Question 31

first step of searching for themes

Answer 31

organizing the long list of different codes into potential themes

Question 32

cluster codes

Answer 32

sharing some unifying feature, so they reflect & describe a coherent and meaningful pattern in the data.

Question 33

second step of searching for themes

Answer 33

Starting to explore relationship between themes & how themes will work together to tell an overall story about the data

Question 34

end phase of searching for themes with

Answer 34

thematic map/table outlining candidate themes and collate all data extracts relevant to each theme

Question 35

What to ask while reviewing the themes

Answer 35

do your tentative themes form a coherent pattern?

Question 36

The codes within a theme should

Answer 36

fit together meaningfully and be relevant to your research question.

Question 37

each theme should be

Answer 37

distinct from another one

Question 38

you should re read the whole data set because

Answer 38

codes may get discarded, new data coded and theme boundaries may get reworked