Which of the following would be most accurate in describing the ...

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Which of the following would be most accurate in describing the data analysis process in qualitative research?
 
  a. Data are carefully maintained as they are first collected.
  b. Data are checked for accuracy and then coded for computer analysis.
  c. Participants provide information that is transcribed for researcher use.
  d. The main emphasis in analysis is to extract themes and patterns in the data.

Question 2

A researcher who does not disclose that a portion of the data from the original study sample was not used in the final data analysis could be accused of:
 
  a. infidelity.
  b. lack of scientific objectivity.
  c. plagiarism.
  d. scientific misconduct.

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Answer to Question 1

ANS: D
The job in data analysis of qualitative data is to get a picture of the topic. Themes and patterns are extracted from the data collected, and sense is made of pieces by putting them into a whole.
The data are coded and analyzed in such a way that they are actually extended beyond the original format. The job in data analysis of qualitative data is to get a picture of the topic. Themes and patterns are extracted from the data collected, and sense is made of pieces by putting them into a whole.
Data are not analyzed by the computer in the same way as they are in quantitative research. The job in data analysis of qualitative data is to get a picture of the topic. Themes and patterns are extracted from the data collected, and sense is made of pieces by putting them into a whole.
Although this is true, it is not the data analysis phase of the study. The job in data analysis of qualitative data is to get a picture of the topic. Themes and patterns are extracted from the data collected, and sense is made of pieces by putting them into a whole.

Answer to Question 2

ANS: D
Examples of scientific misconduct include fabrication, falsification, or forging; manipulation of design or methods; selective retaining or manipulation of data; plagiarism; and irresponsible collaboration.
Lack of scientific objectivity is problematic and can lead to biased results.
Infidelity does not describe this situation. Infidelity implies not remaining true to the chosen method used.
Plagiarism is a specific type of misconduct in which the researcher represents someone else's work as his or her own.