Week 2 Flashcards

1
Q

12 core strategies of qualitative inquiry

A
Design:
1. Naturalistic Inquiry
2. Emergent design flexibility
3. Purposeful sampling
Data collection and fieldwork:
4. Qualitative data 
5. Personal experience and engagement 
6. Empathic neutrality and mindfulness 
7. Dynamic systems perspective
Analysis and reporting strategies:
8. Unique case orientation
9. Inducive analysis and creative synthesis
10. Holistic perspective
11. Context sensitivity 
12. Reflexivity: perspective and voice
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2
Q

Naturalistic Inquiry

A

context is essential for understanding human behaviour, must be in participant’s natural environment, researcher becomes instrument for data collection, research design flexibility because of open ended nature

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3
Q

Emergent design flexibility

A

research design flexibility due to open ended nature of naturalistic study and pragmatic decisions

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4
Q

Qualitative genres

A

phenomenology, ethnography, grounded theory, narrative enquiry, action research, pragmatism and generic qualitative enquiry: qualitative description

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5
Q

Phenomenology

A

investigates the meaning of lived experience of a phenomenon, data as interviews describing experiences of several informants to central meaning

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6
Q

Ethnography

A

Aims to describe and interpret a culture or subgroup, involves observation and note taking

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7
Q

Grounded theory

A

Explore social processes and generate explanatory theories of human behaviour which are grounded in data, data collection and analysis occur simultaneously, analysis includes comparison and systematic coding

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8
Q

Narrative Inquiry

A

Life story research, data analysis focuses on structure, use of metaphors and linguistic devices, and influence of listener

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9
Q

Action research

A

Aims to change something through systematic cycles of action and reflection, pursues action and research with local stakeholder involvement

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10
Q

Pragmatic and generic qualitative research

A

stay close to data and surface of words and events, typically a combination of sampling, data collection, analysis and representation techniques

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11
Q

Purposeful sampling

A

recruitment by non-probability sampling, intentionally selecting data sources that can inform the phenomenon being investigated

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12
Q

Qualitative research data collection methods

A

interviews, naturalistic observation, physical and virtual documentary sources

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13
Q

Qualitative research interview types

A

means: face to face, skype, telephone
style: unstructured, semi-structured, structured
number interviewed: individual, focus group

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14
Q

Face to face interview advantages and disadvantages

A

A: better rapport, can collect data from facial expression and body language, can also note context
D: can’t always find quiet, accessible place, extra resources required for travel

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15
Q

Telephone interviews advantages and disadvantages

A

A: convenience, flexibility, increases number of participants, geographical range of recruitment
D: less rapport, no face to face cues/responses, recording problematic/unethical, connection quality varies, can be costly

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16
Q

Skype interview: advantages and disadvantages

A

A: free, reduced time travelling, participant can relax in own space
D: connection quality varies

17
Q

Unstructured interview

A

participant’s discuss what is important to them, useful when little is known/want to avoid leading questions, only one or two open questions, goes with flow of conversation and creates impromptu questions

18
Q

Semi-structured interview

A

open-ended questions with prompts for interviewer, allows structure and flexibility

19
Q

Structured interview

A

same set of predetermined questions asked in the same way, useful for comparing answers between participants`

20
Q

Focus group interviews

A

6-8 participants, researcher is moderator, sharing of ideas, ensure all get opportunity to input

21
Q

Empathetic neutrality and mindfulness

A

middle ground between becoming too involved and being too distant, mindfulness is being focused in the moment, attentive to what is going on, without distraction

22
Q

Trustworthiness of Data (4)

A

credibility, dependability, confirmability, transferability

23
Q

Ways to enhance rigour (4)

A

reflexivity, member checking, peer review, triangulation

24
Q

Reflexivity

A

reflection on biases and understanding how they affect results, keep reflective journal