Qualitative Analysis and Design Flashcards

1
Q

little q

A

incorporating non-numerical data collection techniques into hypohetico-deductive research designs, similar to quantitative data analysis

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2
Q

hypothetico deductive

A

the basis of mainstream experimental psychology, deriving hypotheses and testing them

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3
Q

Big Q

A

open-ended, participant-led, bottom-up research methodologies concerned with theory generation and the exploration of meaning

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4
Q

Epistemology

A

a branch of philosophy concerned with the theory of knowledge. How, and what, can we know?

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5
Q

Realism/realist knowledge

A

seek to generate knowledge that captures and reflects as truthfully as possible something that is happening in the real world

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6
Q

Phenomenology/ phenomenological knowledge

A

seek to produce knowledge about subjective experience of research participants

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7
Q

Social constructionism

A

focus on the way in which people talk about their experiences, social construction of knowledge itself

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8
Q

orthographic transcription

A

what is said and who is speaking

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9
Q

jeffersonian transcription

A

what is being said and how it was said

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10
Q

phases of thematic analysis

A
  1. familiarisation
  2. coding - breaking down the data
  3. generation of initial themes
  4. develop and review themes
  5. define/name themes
  6. write up theoretical finding
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11
Q

inductive orientation to data

A

analysis driven by data

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12
Q

deductive orientation to data

A

analysis shaped by existing theoretical constructs

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13
Q

semantic focus of meaning

A

surface level, explicit meanings

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14
Q

latent focus of meaning

A

underlying/implicit meanings

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15
Q

experimental qualitative framework

A

aim to explore people’s perceptions and understandings

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16
Q

critical qualitative framework

A

interrogate/unpack meaning around a topic or issue

17
Q

realist theoretical framework

A

capture truth and reality as expressed in the dataset

18
Q

phenomenological, social constructionist

A

interrogate, unpack realities expressed in data

19
Q

reflexivity

A

examining your own position/feelings/motives and how they influence your interpretations of the data

20
Q

Grounded Theory (Glaser & Strauss, 1967)

A

data collection
- >
coding
->
theoretical sampling -> back to data collection, constant comparative analysis
->
theory

21
Q

idiographic

A

uniqueness, subjective experiences

22
Q

IPA

A

Interpretative Phenomenological Analysis
aim:
indepth exploration of people’s lived expereinces and close examination of how people make sense of their experiences

23
Q

Discourse Analysis

A

How things are said in written and spoken language. social context crucial
social constructionist epistemology

24
Q

nomothetic

A

generalisability, objective, numerical data

25
BPS primary ethical principles
respect (value dignity) competence (maintain standards) responsibility (avoidance of harm) integrity (honesty, accuracy, fairness)
26
open science
routine preparation of and subsequent sharing of research data in publicly available repositories
27
river of life
exercise - metaphor depicting personal journey/history 1. define scope and reflect 2. frame 3. guide 4. contextualise 5. evaluate