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Author Question: Which of the following is true of thick description in qualitative research? A) It should not ... (Read 125 times)

dbose

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Which of the following is true of thick description in qualitative research?
 
  A) It should not include verbatim quotes from participants.
  B) It should not include information that can be interpreted as controversial.
  C) It should be implicit in the description of the research context.
  D) It should avoid emotional impact.

Question 2

The proper rationale for searching for and including disconfirming evidence is which of the following?
 
  A) To eliminate confounding cases from data analysis
  B) To refine a hypothesis or theory
  C) To confirm saturation of the data
  D) To formulate a conclusion based on existing data



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GCabra

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Answer to Question 1

C
Feedback:
Thick description refers to a rich, thorough, and vivid description of the research context, the people who participated in the study, and the experiences and processes observed during the inquiry. Thick description includes the free use of verbatim quotes from study participants and contributes to the authenticity of a qualitative study. According to Sandelowski, thick description should be implicit in the description of the research context and the term itself should not be written in the research report. In high-quality qualitative studies, descriptions typically need to go beyond a faithful rendering of information. Powerful description is evocative and has the capacity for emotional impact. Qualitative researchers should, however, avoid misrepresenting their findings by sharing only the most dramatic or sensational stories.

Answer to Question 2

B
Feedback:
Searching for disconfirming evidence is a verification procedure that challenges an explanation or category that has emerged early in data analysis. It occurs concurrently with data collection and analysis. Negative case analysis is a procedure to continuously refine a hypothesis or theory until it accounts for all cases. Saturation of data occurs when data collection yields redundant information. Triangulation is the process of using multiple referents to draw conclusions about what constitutes the truth. Eliminating confounding cases would be the opposite of including disconfirming evidence.





 

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