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Nurs 3205 Chapter 16 Analysis of Qualitative Data questions with correct answers

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  • NURS 3205

Nurs 3205 Chapter 16 Analysis of Qualitative Data questions with correct answers

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  • November 6, 2024
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  • NURS 3205
  • NURS 3205
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Nurs 3205 Chapter 16 Analysis of Qualitative Data
questions with correct answers
Qualitative Analysis Challenges Correct Answer-- no universal rules; no
one set way to do an analysis correctly.
- volymninous amount of narrative data= lots of intensive work
- need for strong inductive powers and creativity
- condensing rich data to fit into concise reports


Qualitative Data Management and Organization Correct Answer--
transcribing the data
- developing a coding scheme
- coding qualitative data


- organzing the data
--manual methods of organization- (conceptual files)
--computerized methods of organization using CAQDAS


A general analytic overview Correct Answer-- identify themes or broad
categories
- search for patterns among themes, variations in the data
- develop charting devices, timelines
- in some cases, use metaphors to evoke a visual analogy
- validate themes, patterns- make sure that quotes and constructs support
the theme.

, - weave thematic pieces into an integrated whole.


What does a theme represent in qualitative research?


A. The actual written report
B. The operational definition of the study's conceptual framework
C. The labeling of similar ideas shared by the study participants
D. The relationship between the hypotheses and the research question
Correct Answer-C. The labeling of similar ideas shared by the study
participants


A theme represents the labeling of similar ideas shared by the study
participants. A theme is an abstract entity that brings meaning and
identity to a current experience and its variant manifestations. As such, a
theme captures and unifies the nature or basis of the experience into a
meaningful whole.


Qualitative Content Analysis Correct Answer-1. Analyze the content of
narrative data to identify prominent themes and patterns among the
themes
2. break down data into smaller unit- more manageable
3. code and name units according to content
4. group coded material based on shared content.

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