qualitative sampling, data collection and analysis, and rigour Flashcards

1
Q

triangulation

A

the expansion of research strategies in a single study or multiple studies to:
- enhance diversity
- enrich understanding
- accomplish certain goals

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2
Q

data triangulation

A

a variety of data sources

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3
Q

investigator triangulation

A

use of different researchers with divergent backgrounds

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4
Q

theory triangulation

A

use of multiple perspectives during data interpretation

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5
Q

methodological triangulation

A

multi-methods used to study a single topic

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6
Q

interdisciplinary triangulation

A

use more than one discipline to study the topic

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7
Q

data reduction

A
  • ongoing process as data is collected
  • process of selecting, focusing, sampling, abstracting and transforming the data
  • organized into meaningful clusters
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8
Q

thematic analysis

A

process of recognizing and recovering the emergent themes

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9
Q

data display

A

an organized, compressed assembly of information that permits conclusion drawing and action
- graphs, flow charts, matrixes, model

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10
Q

conclusion drawing

A

the description of the relationship between the themes

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11
Q

verification

A

occurs as the data is collected

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12
Q

phenomenological analysis

A
  • immersion in the data
  • extract significant statements
  • determine relationship among themes
  • describe phenomena and themes
  • synthesize themes into a consistent description of phenomenon
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13
Q

ethnographic analysis

A
  • immersion in the data
  • identify patterns and themes
  • take cultural inventory
  • interpret findings
  • compare findings to the literature
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14
Q

grounded theory analysis

A
  • examine each line of data line by line
  • divide data into discrete parts
  • compare data for similarities/differences
  • compare data with other data collected, continuously - constant comparative method
  • cluster into categories
  • develop categories
  • determine relationships among categories
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15
Q

case study analysis

A
  • identify unit of analysis
  • code continuously as data is collected
  • find commonalities, themes
  • analyze field notes
  • review and identify patterns and connections
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16
Q

4 criteria’s for judging scientific rigour

A
  • credibility
  • audibility (dependability)
  • fittingness (transferability)
  • confirmability