Qualitative research designs and data collection (wk 10) Flashcards

1
Q

What is qualitative research?

A

Is a process of understanding based on distinct methodological traditions of inquiry that explore a social or human problem. The researcher builds a complex, holistic picture, analyses words, reports detailed views of informants, and conducts the study in a natural setting.

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2
Q

What is quality in qualitative research?

A

Validity, reliability, trustworthiness

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3
Q

Quality in qualitative research
-Dependability, confirmability, credibility, transferability

A
  • Dependability – Showing that the findings are consistent and could be repeated
  • Confirmability – A degree of neutrality or the extent to which the findings of a study are shaped by the respondents and no researcher bias, motivation, or interest
  • Credibility – Confidence in the ‘truth’ of the findings
  • Transferability – Showing that the findings have applicability in other contexts
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4
Q

What is methodology (strategies of enquiry)?

A

The strategy, plan of action, the way that you group together your research techniques to make the ‘grand design’

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5
Q

What are methods?

A

What you actually do, the techniques and procedures you use to gather and analyse data/evidence related to a specific research question or hypothesis.

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6
Q

Phenomenology
-Research purpose, disciplinary origin, primary data collection method, data analysis, report

A
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7
Q

Ethnography
-Research purpose, disciplinary origin, primary data collection method, data analysis, report

A
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8
Q

Grounded theory
-Research purpose, disciplinary origin, primary data collection method, data analysis, report

A
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9
Q

Types of interviews

A

-> Individual group, structured-semi-structured-unstructured, open questions-closed questions, styles – biographical, clinical, ethnographical, method face-to-face, telephone, computer-assisted.

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10
Q

Strengths of interviews

A

-> extensive personalisation/interaction, extensive opportunities to ask Qs, possible to probe, flexible

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11
Q

Limitations of interviews

A

Labour intensive (And costly), not extensive, subjectivities in interpretation and analysis, limited reliability, memory decay

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12
Q

Questions to avoid in interviews

A

Double questions, long complex questions, questions involving jargon/ technical terms, leading/biased questions, ambiguous questions, invasion of privacy

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13
Q

A good interviewer must have:

A

Have listening skills, put questions in a straightforward, clear and not threatening way, be sensitive to non-verbal communication, eliminate cues which leads interviewees to respond in a particular way, enjoy it don’t look bored.

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14
Q

What are the 3 stages of qualitative analysis

A
  • Data reduction -> Coding, discarding irrelevant data – on going process throughout the research
  • Data display -> Draw conclusions from the mass of data
  • Conclusion drawing/ verifications validity -> Examined through references to your existing field notes and critical discussions with tutors
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15
Q

What are the several ways of analysing qualitative data?

A

Ethnographic analysis, structured analysis, content analysis, axial coding and constant comparison, inductive and deductive analytical procedures, post-structuralism approach, feminist approach

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16
Q

What is the ‘data’ structure?

A

Words, phrases, paragraphs, connections, patterns, sequences

17
Q

What is the key process in the data reduction stage?

A

Coding qualitative data

18
Q

What is coding?

A

-> The organisation of raw data in conceptual categories. Each code is effectively a category – first stage of providing some form or logical structure to the data. Codes are tags or labels for assigning units of meaning to the descriptive information complied during a study. Codes are attached to chunks of words of phrases, sentences or whole paragraphs.

19
Q

What are the stages of data coding?

A

Data is carefully read, all statements relating to the research question are identified and assigned a code-category. Reread of the transcripts- search for statement that fit into categories. Further codes might be developed- Axial coding. More analytical – look for patterns and explanation.

20
Q

Subjective well-being?

A

Developmental, social, material, mental, physical

21
Q

Developmental and physical

A

-> Personal development, independence, health, maintenance, fitness

22
Q

Mental and social

A

Cognitive function, family, positive affect, social life, contribution, negative affect

23
Q

What is data trustworthiness?
-Confirmability, dependability, credibility, transferability

A
  1. Confirmability (objectivity) -> Link with raw data themes-list of emerged themes
  2. Dependability (reliability) -> Triangulation of transcripts and themes
  3. Credibility (internal validity) -> Pilot study, member checking
  4. Transferability (external validity) -> Demographic characteristics, specific settings