Qualitative research Flashcards

1
Q

What is qualitative data?

A

Uses spoken words, written text and observations in order to understand situations and perspectives.

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2
Q

Give some examples of qualitative data.

A

Audio (interviews, focus groups)
Images
Videos
Text

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3
Q

What are some distinctions that make qualitative data different from quantitative data?

A

Uses words (vs numbers)
Is concerned with meanings (vs behaviour)
Induces hypotheses from the data (vs starting with hypothesis)
Includes case studies
Usually not generalisable
Subjective (vs objective)
Data collection unstructured
Usually small samples
Usually in natural setting

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4
Q

What are the objectives of qualitative research?

A

To test if a theory is appropriate
To explain why something happens
To describe a phenomenon in detail
To explore new understanding and knowledge

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5
Q

What are the three approaches to qualitative research?

A

Grounded theory
Phenomenology
Ethnography

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6
Q

What is grounded theory?

A

No prior information or knowledge is known
Inductively generate/discover a theory from the data
Commonly used

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7
Q

What is phenomenology?

A

Captures people’s experiences
Explores how people make sense of the meaning they give to these experiences

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8
Q

What is ethnography?

A

Tries to describe aspects of the cultural and social system of a group, e.g. history, religion, economy, politics or environment.

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9
Q

What are some examples of qualitative data collection methods?

A

Focus groups
Interviews
Observation
Analysis of records, pictures, video, audio, social media feeds

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10
Q

What are the advantages of focus groups over interviews?

A

More time efficient
Richer source of data from discussions

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11
Q

What are the disadvantages of focus groups over interviews?

A

‘Private’ views will not be discussed.
Hard to get in-depth perspectives from each person.
Some people don’t interview well in groups.

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12
Q

What are the types of focus groups/interviews?

A

Structured (highly scripted)
Semi-structured (topic/interview guide helps to keep on topic but not a script - common in health research)
Unstructured (uncommon)

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13
Q

What is the rule of thumb for sample size in qualitative research?

A

Continue research until ‘data saturation’ is reached (the point where new data no longer adds to findings - normally around 30 people).

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14
Q

What is an inductive approach to data analysis?

A

Hypothesis is developed from the patterns observed.
Research questions are used to narrow the study’s scope.
Uses ‘open coding’ - codes (categories) are assigned as concepts unfold

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15
Q

What is a deductive approach to data analysis?

A

Starts with hypothesis which is based on existing knowledge
Codes are drawn from literature and categories already decided ahead of data collection

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16
Q

Give some examples of data analysis tools.

A

Ethnograph
Atlas
QSR NVivo

17
Q

What is triangulation?

A

The checking of the consistency of findings which enhances quality and credibility of research. For example, using multiple methods of research like interviews, focus groups and observation.

18
Q

What is method triangulation?

A

Multiple methods of data collection undertaken, data analysis of each done separately to see if data found is the same.

19
Q

What is data source triangulation?

A

Data is collected from different groups of people, and analysis is done separately. For example, patients, healthcare staff and admin staff.

20
Q

What is investigator triangulation?

A

Different investigators collect the same data, with analysis done separately.

21
Q

What is transferability?

A

How much the findings are able to be transferred to other populations ot settings.

22
Q

How is the trustworthiness of a qualitative study assessed?

A

Look at how closely the findings reflect the aims and objectives.

23
Q

In what situations is qualitative research used in optometry?

A

Service satisfaction of a new service or technology
Understanding barriers to eye care access
Compliance of using treatments (at home)
Impact of eye disease on quality of life