Week 3 Qualitative Research Flashcards

1
Q

What is qualitative research?

A

Approach that seeks to elucidate an in-depth understanding or exploration of interest, relying on narratives (non-numerical data) to explain processes

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2
Q

Purpose of Qualitative research

A
  1. Develop in-depth understanding or connections between concepts
  2. Explore unique experiences
  3. Understand how a particular intervention has influenced an individual
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3
Q

Types of Qualitative designs

A
  1. Descriptive
  2. Phenomenology
  3. Ethnography
  4. Grounded theory
  5. Participatory action research
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4
Q

Descriptive

A

To describe, explore, understand, summarise a phenomenon of interest

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5
Q

Adv + Disadv of Descriptive

A

Flexible, simple & be applied in many contexts

Lack scientific rigour

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6
Q

Phenomenology

A

Understand phenomenon by describing & interpreting participants’ lived experiences

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7
Q

Ethnography

A

Immerse themselves in target groups to study/understand culture

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8
Q

Grounded theory

A

Understand social processes to develop a theory by using interviews and collecting rich data

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9
Q

Participatory action research

A

Both researchers and participants conduct research together to drive social change

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10
Q

What kind of sampling strategy does Quali use?

A

Non-probability - to gain in depth understanding with purposeful selection

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11
Q

What are the types of non probability sampling strats?

A
  1. Convenience
  2. Purposive
  3. Snowball
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12
Q

Convenience sampling + Adv + Drawbacks

A

Select participants based on convenience

Readily available, easy to collect, cost effective

Sampling bias

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13
Q

Purposive sampling + Adv + Drawbacks

A

Selecting based on criteria set beforehand

Meaningful contribution, in-depth understanding

Difficult to find participants

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14
Q

Snowball sampling + Adv + Drawbacks

A

Recruited participants to recc others

Meaningful contribution

Difficult & slow recruitment

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15
Q

What is sample size based on?

A

Data saturation when no new information emerges

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16
Q

What is sample size of Quali?

A

Looking at depth of data and has a relatively small sample size

17
Q

Examples of data collection methods

A

In depth interviews
Observations + field notes
Surveys with open ended questions
Secondary data

18
Q

Types of interviews + Adv + Disadv

A

Individual vs focus group
Semi structured vs unstructured

Able to clarify ideas, identify non verbal cues

Time consuming, manpower, scheduling

19
Q

What is the aim of in depth interview techniques?

A

Evoke thick & rich response to obtain in depth information & to build rapport

20
Q

What are the general steps for data analysis?

A
  1. Preparation - clean data, transcription
  2. Immerse/familiarise
  3. Code: Label patterns
  4. Allow themes & subthemes to emerge
21
Q

What are the 2 basic data analysis methods?

A
  1. Thematic
  2. Content/framework
22
Q

What is the purpose of thematic analysis?

A

To identify and interpret meaning

23
Q

Thematic analysis + Adv + Disadv

A

Bottom up approach, Inductive coding that is data driven, latent data with underlying meaning

Generate new insights

Reliance on researcher - biasness

24
Q

What are the 6 steps of thematic analysis?

A
  1. Familiarise data
  2. Generate initial code
  3. Searching for themes
  4. Reviewing themes
  5. Defining & naming themes
  6. Producing report
25
Q

What is the purpose of framework analysis?

A

To identify & describe common ideas, a guided approach to draw out specific information

26
Q

Framework analysis + Adv + Disadv

A

Top down approach, deductive analysis, theory to guide analysis

Easier to adopt

Ignore emerging insights of relevance

27
Q

What is trustworthiness in Quali?

A

A set of strategies used to establish trust or confidence

28
Q

What are the strategies used to ensure rigour?

A
  1. Credibility
  2. Transferability
  3. Dependability
  4. Confirmability
29
Q

What is credibility?

A

Confidence in the truth of findings by ensuring accurate description/interpretation of human experience

30
Q

What is transferability?

A

Extent to which reader can transfer the findings to similar context

31
Q

What is dependability?

A

Stability of the findings across time to ensure research can be audited to be dated back

32
Q

What is confirmability?

A

Stability of findings across context & population