Week Twelve Flashcards

1
Q

qualitative paradigm/logic

A

social constructuralism paradigm.

  • builds knowledge
  • generates theory
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2
Q

quantitative paradigm

A

positivism

- deductive approaches to test theory

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3
Q

design for qual. research

A

flexible and responds to context.

naturalistic enquiry

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4
Q

positivist paradigm

A

quantitative research, aims to discover universal laws and to predict and control events.

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5
Q

constructionist/interpretive paradigm

A

Characterised by attempts to understand or interpret how people make sense of their experience. Qualitative research seeks to provide in-depth understanding of an individual or a situation in a natural setting. Seeks to understand social life and how people construct meanings.
- Constructionist paradigm accepts that people are not rule governed.
○ Seeks to understand how people respond to the situation.
○ People respond differently.

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6
Q

theoretical framework

A

paradigm

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7
Q

interpretive approaches to qualitative research (theoretical frameowrks)

A

phenomenology
narrative
ethnomethodology

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8
Q

phenomenology

A

Explores consciousness and experience from the perspective of the individual.

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9
Q

narrative

A

§ The uniqueness of humans sits within our capacity to use and tell stories to convey meaning.
§ Looks at how stories carry meaning and how they are used.

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10
Q

ethnomethodology

A

§ How do humans make sense of behaviours.
§ Conversation analysis- applies understanding of behaviours to conversations.
□ How do people talk about their own death? Directly? Indirectly?

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11
Q

critical approaches

A

interested how social, cultural, political, ideological, and historical discourses shape (and are shaped by) subjective meanings and experiences
- How does class, gender etc. shape experiences
○ Feminism
§ Gender
○ Marxist analysis
§ Social class
○ Critical discourse analysis
§ Subconscious, unconscious.
§ Discourses that become integrated into society.

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12
Q

methodologies

A
  • people as research methods
  • people as informants
  • people as research partners
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13
Q

people as research methods

A

§ Many human experiences are communicated or displayed in some way.
○ People as informants

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14
Q

people as informants

A

§ Need them to tell about the world
§ Many human experiences are subjective, private, and therefore hidden from view
§ To access many subjective experiences, researchers must:
□ treat people as informants
□ find ways to facilitate communication of subjective experience

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15
Q

people as research partners

A

§ Need them to make sense of the world.
§ experiences cannot be understood by researchers alone
§ Ongoing engagement with people as active research partners is necessary to make sense of their experiences

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16
Q

methodologies in an example

A

How do families and professionals work together when a child has a life-limiting condition?
○ Research participants as subjects
§ Video-record real-world encounters involving participants
§ Examine recordings to identify how these parties collaborate
○ Research participants as informants
§ Interview participants
§ Analyse interviews to identify their experiences of how these parties collaborate with each other
○ Research participants as partners
§ Interview participants
§ Analyse interviews, working with participants to interpret their experiences in an appropriate way

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17
Q

phases of qualitative research

A

selecting participants –>collecting data –> analysing data.

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18
Q

selecting participants

A
  • Qualitative researchers consider things in-depth rather than to make a generalisation.
    • Sampling techniques:
      ○ Purposeful / theoretical
      § Cases that will help to understand the research question
      § Comparative to a representative sample.
      ○ Snowball
      § Useful for hard to reach populations.
      § Develop relationships with a small group of population and then they recruit others.
      § Less control than purposive sampling.
      ○ Convenience / pragmatic
    • Sample size:
      ○ Analytic determination
      ○ Depth vs breadth
      § Do you need to understand a lot of cases or cases in detail?
      ○ Information redundancy / saturation
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19
Q

collecting data

A
Interacting 
		○ Informants or partners
		○ The most common
	- Observing 
		○ subjects
	- Gathering 
		○ Subjects
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20
Q

interacting

A
  • Individual interviews
    ○ Different types
    § Unstructured conversation
    § Semi-structured (through use of topic guide) –
    □ Can be developed based information such as past research
    ○ Unstructured interviews may not be comparable –
    ○ Semi-structured interviews may sacrifice some depth
    § Pit fall is that to a certain extent you are making the interviewee direct the conversation in a certain way.
    § Might lose some depth.
    • Can be integrated with other data collection methods:
      ○ Photo elicitation
      ○ Walking interviews
    • Focus groups
      ○ Led by an (experienced) moderator
      ○ Usually up to approximately 12 participants in each group
      ○ Useful when interaction is important
      § E.g. identify convergent and divergent perspectives
      § Sometimes it is easier to understand if one situation is common place. If a story is told that is unusual, the others in the group will be able to communicate this.
      • Challenges:
        § ‘Group think’
        § ‘Group-shy
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21
Q

observing

A
  • Associated with ‘field research’, especially in ethnography
    • Focuses on what people do rather than what they say they do
      • Important for when people are good at what they can do but are not able to explain why.
    • Observing human conduct in its ‘natural environment’ to gain insight into social processes and practices
    • Different methods for recording observations:
      – Field notes
      – Video/audio recordings
    • Can be integrated with other data collection methods:
      –Ethnographic interviews
      – Video-stimulated interviews
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22
Q

gathering

A
- Human ‘artefacts’ 
		–Documents 
		– Visual objects 
	-  Sources 
		– Publically available 
		– Archival 
		– Private
23
Q

analysing data

A
  • Some general trends: –
    - Analysis is ongoing and iterative
    § Time-intensive
    - Guided by an attitude of strangeness
    § Disrupt taken-for-granted assumptions
    § Make the ordinary extraordinary
    § Make the extraordinary ordinary
24
Q

inductive

A
  • Inductive (e.g. grounded theory)
    § ‘Bottom-up’, data-driven
    § Observable → abstract
    § Theory building
25
Q

deductive

A

§ ‘Top-down’, theory-driven
§ Abstract → observable
§ Theory confirming

26
Q

why use qual. research

A
  • Particularly well suited for natural settings.
    • Develop model or theories starting from local knowledge and then going to generalizations.
      ○ How do the people we are interested in go about doing X Y Z.
    • To understand local knowledge and practices
    • Research question as a starting point
    • Qualitative approach often used for:
      ○ Why questions?
      § Not hypothesis driven
      § Starts with general research questions.
      ○ How questions?
      § Whether or not a question is how or why can change the methods of the study.
      ○ One or few cases
      ○ Subjective experience and meaning
      ○ Theory building
      § Especially in instances when we have little understanding of a topic
      § By asking a general question.
27
Q

quality

A

transparency of the research process
Ability to explain to others why the research was conducted the way that it was. Why a particular design or method was used. Quality ≠ reliability

28
Q

credibility

A

validation of analysis
- Basis upon which an outside consumer of the study might believe its findings.
Credibility ≠ validity

29
Q

study design and methods

A
  • Takes into account:
    ○ The phenomenon of interest
    § What is it that we want to understand.
    ○ Existing theories about this phenomenon
    ○ The social context of this phenomenon
    § If it has a particular context the design and methods needs to take this into account.
    ○ The range of methods could possibly be used to study this
    § This includes methods that may not have been developed yet
    § Qualitative research is not only based on (semi-structured) interview.
    □ However, most is.
    ○ Clear and explicit account of data collection methods
    Why was the method chosen? High quality research will make this transparent to the reader.
30
Q

problem with semi-structured interviews

A

® If the phenomenon exists in the real world, why not study this rather than ask people about the phenomenon.
◊ Don’t ask people about communication when you can directly study the issue.

31
Q

triangulation

A

§ Often done by using mixed method research.
□ E.g. using interviews and practice.
® Interviews provided insight into how clients experienced online interviews
◊ This is an experience.
® Practices
◊ Does not provide experience of the client but rather the practice of the therapist.
□ Problem lies with whether both methods are providing insight to the same things.
□ How do we know that these two things can be triangulated?
§ “One should not adopt a naively “optimistic” view that the aggregation of data from different sources will unproblematically add up to produce a more complete picture” (Hammersley & Atkinson, 1983: 199)

32
Q

sample size

A
  • Qualitative research generally has small sample sizes.
    • At some points even one.
    • Question is how can such a small sample size provide insight into a phenomenon?
    • “…one is also a number, the single case is also a quantity, and statistical significance is but one form of significance” (Schegloff, 1993: 101, emphasis in original)
    • Generalizability may / may not be an objective
      ○ Some times qual. Research does not seek to generalize to a population.
      ○ Sometimes there may be one case but the significance of this research is important
      ○ i.e. someone has died as a 000 call did not go well.
33
Q

sampling- generalisability

A

often qual. methods do not look for generaliability

34
Q

representative sampling

A
  • Representative sampling
    ○ Large amount of data
    ○ Generally not suitable for rigourous qualitative research
35
Q

purposive sampling

A

An attempt to capture the diversity that you anticipate might be important
○ “…seek out groups, settings and individuals where … the processes being studied are most likely to occur” (Denzin & Lincoln, 1994: 202)
Generally the most common or applicable.

36
Q

theoretical sampling

A

○ Developed within Grounded Theory research
○ “When conducting theoretical sampling, you are much more selective than before about whom you obtain data from and what you seek from these individuals. You may focus on certain experiences, events or issues, not on individuals per se, because you want to develop your theoretical categories and need to define how and when they vary” (Charmez, 1996: 46)

37
Q

methods of sampling in qual research

A
  • convenience
  • snowball
  • theoretical
  • purposive
  • representative
  • generalisability
38
Q

analysis of data - avoiding anecdotalism

A

(cherry picking).
§ Being selective and only choosing data that supports your theory.
§ Constant comparative method
§ Deviant / negative case analysis
- Ensures that you aim to make sense of deviant or differing cases.
thus, need to make sense of deviant or differing cases.

39
Q

‘thick’ descriptions

A

○ Wont simply state that a client’s behaviour is resistant: thin
Will rather deal with why and how this behaviour is done.

40
Q

saturation

A

○ An analysis that has been developed is seen over and over again across and within cases and that any new data collected does not change the data in any way.

41
Q

developing analysis with others

A

○ Peer debriefing / data sessions
○ Inter-rater agreement
§ Closer to quantitative.
§ Argued that often it is not surprising when researchers from the same background etc. will agree.
○ May be presenting data and have others interrogate it.
- Respondent or communicative validation (‘member checking’)
○ Going back and checking that the insight given is correct.
§ However criticized because sometimes we know what we are doing but that we cannot articulate this.
○ “There is no reason to assume that members have privileged status as commentators on their actions” (Fielding & Fielding, 1986: 43).
E.g. when telling someone that they are pregnant, this may or may not be surprising on the basis of the news deliverer, the receiver or the news itself.

42
Q

biases of qualitative analysis

A
  • The observer’s paradox
    ○ The act of observing might affect the behaviour.
    ○ However, it is arguable that conducting this research is still more generalisable than if you were to ask someone into a laboratory.
    • Researcher biases
      ○ Biases can shine through research.
    • Social desirability
      ○ Behaviors can be changed due to fear of judgement.
43
Q

reflexivity

A
  • Key technique for dealing with biases.
    • “Reflexivity is commonly viewed as the process of a continual internal dialogue and critical self-evaluation of researcher’s positionality as well as active acknowledgement and explicit recognition that this position may affect the research process and outcome. It is the self-appraisal in research” (Berger, 2015: 220)
    • Reflexivity provides a way in which the values, positions and ethics of the research are made explicit and is thus a way for managing the impact of researcher bias on research.
    • Reflexivity as turning qualitative analysis on yourself.
      ○ How do you know what you know?
      § Is it because of what you have been studying or is it because of your own values you have bought to the study.
      ○ What shapes and has shaped your perspective?
      ○ How has your research and fieldwork shaped your position and perspective
44
Q

being reflective

A
  • Importance of the ongoing dialogue about data and its analysis
    • Can be done alone or with others:
      ○ Reflective journal
      § Self-dialogue about researcher •
      § Private record of methodological decisions, preliminary reflections on data collection or analysis
      § Can be a source material or complement/aid your analysis
      ○ Multiple researchers/ analysts
      § Dialogue with others to develop complementary and deeper, or divergent and alternative perspectives
      § Continuous questioning, multiple answers
45
Q

refelxivity- setpping in

A

tepping in – insider’s perspective
○ What do you already know?
○ How does your current position, perspective allow you to engage with your topic and participants?

46
Q

reflexivity- stepping out

A

outsider’s perspective
○ How can you distance yourself from this position? –
Who can help you see it as an outsider?

47
Q

reflexivity- stepping sideways

A

alternative perspective

- What other possible explanations are there? 
- What other theoretical frames can you use?
48
Q

whose perspective

A

○ ‘Understood and experienced by the participants’ does not necessarily mean consciously understood or experienced
○ People do not notice all the things they are capable of
Using expertise to explain why people do things.

49
Q

reporting findings

A
  • Different structure, less conventional
    • More theoretical/conceptual
    • Often results and discussion presented together
    • Procedure of data collection and analysis need to be explained carefully
    • Data is usually presented:
      ○ According to themes, concepts, practices, etc
      ○ Active analysis/interpretation, rather than mere description
      ○ Quotations in their (interactional) context
      ○ Enables readers to critique the reported analysis
50
Q

COREQ

A
  • Consolidated criteria for reporting qualitative studies (COREQ)
    ○ 32-item checklist
    ○ Used to appraise interview-based research
51
Q

DOMAIN 1

A
  • Domain 1: Research team and reflexivity –
    ○ E.g. Item 8: Interviewer characteristics: What characteristics were reported about the interviewer/facilitator? E.g. Bias, assumptions, reasons and interests in the research topic
52
Q

DOMAIN 2

A
  • Domain 2: Study design

○ E.g. Item 22: Data saturation: Was data saturation discussed?

53
Q

DOMAIN 3

A
  • Domain 3: Analysis and findings

E.g. Item 30: Data and findings consistent: Was there consistency between the data presented and the findings?