Qualitative Research Flashcards

1
Q

Why qualitative?

A

When you are not testing assumptions, but rather exploring a relatively new topic to see what you can find

Because assigning our own, researcher-driven codes and definitions a priori might get in the way of participants’ experience

When there is no way of ‘measuring’ an experience accurately without stripping it of meaning

When we are not trying to quantify, compare or ask ‘more. less, fewer’ questions

If we are interested in people’s complex experiences and stories

When we want to treat participants as having their own level of expertise, at least as valid as ours.

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2
Q

Thematic analysis

A

An umbrella term which could describe all the approaches below, as all are concerned with the analysis of themes. Systematised by Braun and Clarke (2006/2013) as a method specific to psychological enquiry

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3
Q

Grounded Theory

A

An inductive approach using qualitative data to derive a theory about some area of human activity (which would then potentially be susceptible to deductive hypothesis-testing)

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4
Q

Interpretative Phenomenological Analysis

A

IPA is concerned with trying to understand lived experience and with how participants themselves make sense of their experiences. Therefore it is centrally concerned with the meanings which those experiences hold for the participants.

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5
Q

Discourse analysis

A

Concentrates on the analysis of (usually) spoken conversation – eg communication between health staff and patients – as a means of understanding relationships and processes

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6
Q

Narrative analysis

A

Focuses on people’s description of stories – Phenomena best viewed as sequences of events, eg patients’ descriptions of the process of being diagnosed with and treated for an illness

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7
Q

Saturation

A

when the researcher finds that no new descriptive codes, categories or themes are emerging from the analysis of data

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8
Q

Reflexivity

A

The process of constantly examining oneself as a researcher, acknowledging how one’s assumptions, experience, beliefs and biases affect the data gathering and analysis. The empirical researcher seeks to eliminate bias; the qualitative researcher seeks to understand and declare it.

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