Data Collection and Management Techniques for a Qualitative Research Plan

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Data Collection and Management Techniques for a Qualitative Research Plan
Over the past few weeks, you have been introduced to two common data collection techniques used by qualitative researchers: observation and interviewing. For this assignment, you will be asked to consider data collection techniques for your qualitative research plan and think about how you will manage the data that you would collect.
To prepare for Application:

  • Consider the kinds of data that would be most useful and relevant for your qualitative this research plan.
  • Consider whether observation would be an appropriate way to collect data for your qualitative study. Why or why not? If yes, what would you need to consider (legal or ethical issues, bias, context, etc.)?
  • Consider whether interviewing is an appropriate way to collect data for your qualitative study. Why or why not? If yes, what would you need to consider (legal or ethical issues, bias, context, etc.)? What questions would you ask? How do you know these are good and appropriate questions for your research? What kind of interviewing protocol would you need to develop?
  • For the data collection techniques you would use, think about what data management techniques you would employ. How would you organize your data? How could a software package such as NVivo assist you with managing your data?

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    • Remember, you are not expected to collect data for the qualitative research plan, only to plan out what could be done.

The assignment:

  • Craft a 4-page paper in which you do the following:

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    • Recommend data collection and data management techniques appropriate for your qualitative research plan.

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      • Remember, you are not expected to collect data for the qualitative research plan, only to plan out what could be done.
    • Explain how NVivo could be used to assist with data organization and management.

Resources

  • Course Text: Qualitative Inquiry and Research Design: Choosing Among Five Approaches

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    • Chapter 8, “Data Analysis and Representation”
      In this chapter, Creswell tackles the issue of data analysis by summarizing some of the major approaches to analysis and describing specific analytic procedures that can be used for each of the five approaches. He concludes the chapter by discussing ways that researchers can use qualitative research software (such as NVivo) to facilitate the data analysis process.
  • Course Text: Patton, M. Q. (2015).Qualitative research and evaluation methods (4th ed.). Thousand Oaks, CA: Sage Publications, Inc.

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    • Chapter 8, “Qualitative Analysis and Interpretation”
      Patton addresses the challenging process of analyzing the data that has been gathered during a qualitative research study. Specific points of discussion include techniques for organizing data, detecting patterns and determining data significance, and interpreting and reporting findings.
  • Gibbs, G. R., & Taylor, C. (2005). How and What to Code. Retrieved from http://onlineqda.hud.ac.uk/Intro_QDA/how_what_to_code.php
    This website is a useful resource that contains additional information about coding. You are encouraged to view the media pieces in the sections on Approaches to Starting Coding and Constant Comparison and to complete Exercise A, which will allow you to practice coding text. If you have time, you also have the option of completing Exercise B.
  • Software

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    • NVivo
      This week, consider how a software package can assist a researcher in managing the collected data that needs to be coded and analyzed.

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