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1-This week’s lecture states, “A qualitative study has no hypotheses, and the research question is usually very broad. Questions will evolve as the study progresses. Therefore, the researcher looks for data to form impressions; this type of research is not measurable” (Grand Canyon University, 2012.). To some people such as myself, not having a definite “plan” and or question as to what will be studied can be stressful. Qualitative data comes as you go and begin your research. Qualitative data is not so much numbers, but interviews and pictures. This can leave the researcher with a lot of data to sort through and may now know how to begin organizing. One way is to highlight certain information with a different color highlighter so you know certain data is a different color or even using different color paper. Even separating data into different piles. Different things will work for different people. According to an article in Johns Hopkins Bloomberg School of Public Health: 

5 Easy Steps to Good Data Management

  • Choose      and follow a clear file naming system
  • Develop      a data tracking system
  • Establish      and document transcription/translation procedures
  • Establish      quality control procedures
  • Establish      a Realistic Timeline

Reference:

Grand Canyon University. 2012.   Research Ethics and Research Process Components:  Problem, Question and Literature Review. Retrieved from  https://lc-ugrad3.gcu.edu/learningPlatform/user/users.html?operation=loggedIn#/learningPlatform/loudBooks/loudbooks.html?viewPage=current&operation=innerPage&currentTopicname=Research%20Ethics%20and%20Evaluating%20Qualitative%20Research&topicMaterialId=c62190ed-c404-444c-bc29-954269d5bbe5&contentId=f614cda6-1cf4-4875-b0b9-82cdd77d5c34&

John Hopkins University. 2018. Managing your Qualitative Data: 5 easy steps. Retrieved from http://ocw.jhsph.edu/courses/qualitativedataanalysis/PDFs/Session2.pdf