week 10 qualitative methods and interviews Flashcards

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1
Q

methodological purposiveness

A

the method is selected with consideration of the research question and purpose

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2
Q

methodological congruence

A

the fit between the research question and the method,

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3
Q

research approaches

A

a) phenomenology
b) ethnography
c) grounded theory

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4
Q

phenomenology

A

considers the meaning of things in a subjective manner ie how the individual understands something.
eg “What does it feel like to lose a child?” focuses on experiences

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5
Q

grounded theory

A

a process over time. eg “How do people come to terms with being diagnosed with a chronic illness?focuses on how things change

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6
Q

ethnography

A

the organization or process that and individual undergoes. eg “How do people hide their eating disorder?” ethnography=study of people in their own environment.focuses on behaviours.

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7
Q

methods

A

a) interviews;focus groups, structured interviews, unstructured interviews.
b) observation
c) document analysis.

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8
Q

why use qualitative methods?

A

for the following reasons;

  1. area with little knowledge
  2. learn how participants understand something
  3. discover new theory based on empirical results
  4. to understand a phenomenon
  5. to inform re how to undertake future quantitative studies
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9
Q

focus group

A

homogenous group undergoes interview together.usually 6-12 participants. more efficient than individual interview but some participants may not contribute due to inhibition/others have covered that ground/don’t want to stand out etc etc Less depth and detail than an individual interview.

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10
Q

structured interview

A

each participant gets same questions in same order. no follow up questions.

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11
Q

unstructured interview

A

more conversational. no rigid question framework.clarification can be sought.

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12
Q

observational methods

A

a) participant observation (researcher participates in the activities of the group being studied.
b) structured observation
c) observational episodes

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13
Q

preliminary data analysis

A

a) initial questioning of data to determine emerging issues/themes
b) analyze data during and post collection to summarise themes
c) at end, all data critiqued to determine if shows broad enough relation/relevance to the research topic.

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14
Q

thematic analysis

A

engage and re-engage with data. question it, discuss it, discover themes, coding to manage large data sets.

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