L20 Qualitative Research Flashcards

1
Q

Is qualitative research interpretivism or Positivism

A

Interpretivism
• Researcher & social world interact
• Characteristied by interpretivist theory of knowledge
• Facts & values not distinct
• Affected by researcher values & perspectives
• Not possible to do objective, value-free research

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2
Q

what is positivism ?

A

Quantitative
• World unaffected by the researcher • Facts and values distinct, possible to do objective, valuefree research that is generalisable • Natural science method (hypothesis testing, causal explanations appropriate to understand social phenomena)

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3
Q

When to use qualitative research

A

When there is not much to go on
• Little known about the topic, limited theory to guide topic
• When you want a particular perspective on the topic
• The perspective of a specific person/group, or a more holistic perspective
• When you want to explain quantitative results
• When you want to identify relevant questionnaire items

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4
Q

Key Features in Qualitative Research:

A
Collect and assess data
Abstract and reduce data
Explore key themes and patterns
Evaluate alternative explanations
Formulate and verify conclusions
-NON LINEAR, ITERATIVE
  • Uses INDUCTIVE reasoning
  • using observations to formulate an idea or theory
  • exploring new phenomena
  • Starting with observations&raquo_space;» theory
  • Doesn’t typically use DEDUCTIVE reasoning (
  • Starting with theory&raquo_space;» confirmation)
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5
Q

does qual research have high validity and reliability?

A

Has high VALIDITY
• measuring what we are supposed to measure
• e.g. describe your perception of the experience of chemotherapy in your own words
Has low RELIABILITY
• inconsistent response given same conditions
• e.g. describing the same experience of chemotherapy in a different way on two separate occasion

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6
Q

Methods: Data collection

A
  • Interviews
  • Open ended questionnaires
  • Observation
  • Participant / non-participant
  • Overt / covert observation
  • Document analysis (written/audio/video)
  • Oral histories
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7
Q

Methods: Interview types

A
  • Structured interview
  • Set questions, set order, usually with a limited range of responses
  • Semi-structured interview
  • Open-ended questions, with prompts to gain further insight
  • In-depth interview
  • One or two issues covered in detail
  • Questions follow what the interviewee says
  • Focus groups
  • A form of group interview that capitalises on communication between group participants
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8
Q

9 sampling methods

A
  1. Confirmatory/discriminatory cases
    - Elaborates on quant. Findings, looks for typical/variant examples providing deeper understanding
    - Confirming patient satisfaction with consultation results
  2. Convenience
    - Faster & less expensive; possibly less rigorous
    - Asking doctors in a single cancer centre about family involvement in consultations
  3. Criterion
    - Sample all cases which meet criteria
    - Interviewing all families taking part in consultations in 1 week
  4. Extreme (deviant) cases
    - Describes something highly unusual
    - Interviewing any patients who have lodged complaint
  5. Homogenous
    - Focus on singular phenomenon, simplifies research & describes in depth
    - Conducting focus groups with support people who attended appointments with men making decisions about chemotherapy
  6. Maximum variation
    - Shows range of behavior & identify commonalities across cases
    - Asking as many people as possible about their experience with doctors
  7. Opportunistic
    - Captures ‘the moment’ when exemplary data can be collected
    - In-depth interviews with people who have made a complaint
  8. Politically important cases
    - Highlights examples which can be linked to policy change
    - Hosting focus group with patients who received access to a new drug
  9. Random purposive
    - Adds external validity to qualitative process
    - Using randomization to determine who you will contact
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9
Q

5 most common sampling methods

A

1- Snowball - current participants knowledgeable about/invested in research to find others

  • Asking participants ‘who else’s opinion is important for us to understand’
    2. Stratified purposive
  • Facilitates data comparison on one or more variables of interest
  • Asking participants to recommend other participants of the same sex or diagnosis
    3. Theory-based
  • Illuminates theoretical concepts with intent to elaborate or expand
  • Observing whether matching patients preferred style of decision-making with decisions increases adherence to treatment
    4. Typical case
  • Elaborates on average experience
  • Observing how patients interact with their doctors
    5. Mixed
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10
Q

Theoretical method

A

o Used in grounded theory studies
o Research starts from homogenous (small) and moves to a more heterogeneous (larger) sample
o Occurs sequentially and alongside data analysis
o Previously analysed data guides what data needs to be collected next

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11
Q

Methods: Data Analysis

A

• Data usually presented in written form (observations, transcribed audio-taped interviews)
• Data is transcribed, coded, categorised
o Code and categorise
o Present themes/patterns from data

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12
Q

Data saturation = How do you know when you have enough

A

– Phase of analysis in which the researcher has continued sampling and analysing data until no new data/themes appear
– When you have learnt all you can about this phenomenon
– You are getting the same answers from informants
– Interview until 3 consecutive interviews with no new concepts (after no new info, you have reached data saturation)
– Member checking (ask the participants if what you found is what they think they understand to be the case)

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13
Q

Rigour in qualitative research

/Problems with qualitative research

A

• Ensuring rigour
• Use appropriate methods to maximise validity and reliability
• Results may be influenced by personal bias & idiosyncrasies
• Generalising beyond the sample (you should not say this data could reflect the broader community)
• Aims to capture the range of views, not representative views
• Time consuming
• Smaller samples based on theoretical saturation are achievable
Small selective samples - not generalisable

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14
Q

How to do Rigorous data collection

A

• Interview / focus groups:
o Audio or video-recorded
o Transcribed in full
o Participant confidentiality assured (removing names and places from the interview)
• Interviewer:
o Suitably trained in qualitative methods
o Accepted by participants as trustworthy
o Familiar with the context that people are coming

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15
Q

Managing personal bias & idiosyncrasies

A
  • Investigators own personal bias and idiosyncrasies can influence the qualitative research process» need to be reflexive
  • Reflexivity - awareness of the way own beliefs/attitudes affect the research process and outcomes
  • One technique— use of a journal throughout research process which reflects researcher’s thoughts, feelings, questions, frustrations.
  • Researcher may become aware of biases/assumptions&raquo_space; may alter the way they collect data or approach analysis (keep personal journal so you can see your potentially biased thoughts written down)
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16
Q

Rigorous coding

A
  • Development and application of coding frame (with themes/concepts) can improve rigour
  • Immersion in the data (e.g. read transcripts multiple times)
  • Multiple researchers should code some of the same transcripts and compare results to improve the coding frame
  • Apply final coding frame systematically to all the data by annotating the transcripts with codes
17
Q

Rigorous analysis

A
  • Agreement between the researchers on the categorisation of data can be calculated
  • Map the relationships between themes to explain findings
  • Make sure the themes/concepts are supported by the data rather than based on your assumptions
  • There are qualitative data programs that can help!
18
Q

When to use software? Software is hard to learn how to use!

A
  • When the size of the study team is very high 4+ required
  • When the size of the data set is over 100 files
  • When analysis goal is more theory building rather than exploratory
  • When the study is highly complex
    e. g. NVivo, MaxQDA, Dedoose, Atlasti
19
Q

Rigorous validity checking

A

• Triangulation
o Compare same issue from different sources, methods, points (e.g. researcher notes, interview transcripts, audio-tapes)
• Provide evidence for themes/concepts
o Use participants’ own language to demonstrate the source of the theme or concept (e.g. illustrative quotes)
• Participant feedback/validation/verification
o Member checking
o Ask participants to review your interpretation of their data
Qualitative approaches used in health research

20
Q

Grounded theory

A

• Strong tradition grounded theory in health research
Aims
• to collect and analyse qualitative data to
• describe components of a phenomenon
• the relationships between them
• generate a theory of the phenomena that is ‘grounded’ in the data (from the ground up)
Methods
• Complex iterative process, no distinct end point
• Coding: identifying/describing codes, relating codes to one another
• Memoing: recording thoughts/ideas as they evolve
• Diagrams: make sense of the data with respect to the emerging theory

21
Q

Interpretive Phenomenological Analysis (IPA)

A

• Aims
• To gain a detailed examination of the participant’s lifeworld, personal experience/perceptions of an event
• To gain understanding of the lived experience through its meaning to individuals
Methods
• Data collection: open questions, look for meaning of the experience for that person, check interpretation with the person
• Data analysis: Goal is to describe phenomena and improve understanding; Might not have obvious ‘conclusions (may tell you how someone will interact with an intervention you’re developing)

22
Q

Ethnography

A

Aims
• Seeks to understand human behaviour and individuals’ experiences within a group culture
• What is the experience of a breast cancer support group participant?
Methods
• Most common approach is participant observation (e.g. field research)
• Ethnographer becomes immersed in the culture and records extensive field notes

23
Q

Thematic analysis

A

Useful approach for doing applied qualitative research in health
• Method for identifying, analysing, and reporting patterns (themes) within data.
• Highly flexible- not bound to a particular theoretical approach
• Progresses from description of data&raquo_space;> interpretation of the significance of patterns and their broader meanings and implications
• Authors provide step-by-step guide to thematic analysis

Phases of Thematic Analysis

  • Familiarising yourself with data
  • Generating initial codes
  • Searching for themes
  • Reviewing themes
  • Defining and naming themes
  • Producing the report
24
Q

Framework method • Ritchie and Spencer (2002)

A
  • Analytic approach which sits within the broad family of thematic analysis
  • Tool for supporting thematic analysis because it provides a systematic model for managing and mapping data
  • 7 key steps (Gale et al., 2013)
  1. Transcription
  2. Familiarisation with the interview
  3. Coding
  4. developing a working analytical framework
  5. applying an analytical framework
  6. charting the data into the framework matrix
  7. interpreting the data
25
Q

Specific strategies to ensure methodological rigour- 6

A
  • Immersion: Steps 1 and 2 focus on researcher immersion with the data
  • Team-based coding: Advocates for several researchers to engage in coding and for all team members to read summaries to offer perspectives during analysis
  • Close attention to participant experiences: Through charting researchers pay close attention to describing the data using participant’s own expressions, before moving onto interpretation
  • Systematic, thorough analysis:
  • Inclusion of contextual data: Flexible enough that non-interview data (e.g. field notes) can be included in matrix
  • Audit-trail: Framework method ensures there is a clear audit trail from original raw data to final themes, including illustrative quotes.
26
Q

Framework method- Pitfalls Potential pitfalls of this approach

A
  • Temptation to quantify: Systematic approach, matrix format, spreadsheet-look»> can be appealing to those trained quantitatively
  • Resource intensive: Framework method is time consuming and resource-intensive
  • High training needs: High training component to successfully use Framework Method