Ch. 15 & 16 Qualitative and Trustworthiness Flashcards

1
Q

Challenges of data analysis in qualitative research

A
  • No universal rules
  • Amount of work involved
  • Requires creativity, sensitivity, strong inductive skills
  • Reduction of data for reporting
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2
Q

using constant comparison method

A

category scheme

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3
Q

correspondance to the categories

A

coding of data

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4
Q

converting large masses of data into smaller segments

A

reductionist

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5
Q

introduction or putting pieces into meaningful patterns

A

constructionist

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6
Q

descriptive qualitative studies

A

content analysis

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7
Q

search for broad categories or themes that arise from the data

A

general overview

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8
Q

Data analysis of ethnography starts when?

A

When researchers enters the field - looking for patterns.

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9
Q

4 levels of Spradley data analysis

A

domain, taxonomic, componential, theme

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10
Q

Spradley (1979) assumes what?

A

language is the primary means that relates cultural meaning

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11
Q

4 levels of Leiniger “ethno-nursing” data analysis

A

collect data, identify and categorize, repetitive patterns, major themes

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