What are similarities between main forms of data analysis


Problem

Tracy (2019), choosing keywords in qualitative research designs lets readers know what design was used. The following are some examples of word choice differences in various qualitative research designs:

• Phenomenology: Keywords often associated with this design include essence, experience, and meaning. Researchers using this design aim to describe the essence of a particular phenomenon, experience, or concept.

• Grounded theory: Keywords frequently associated with this design include coding, categories, and theory. This design aims to develop a theory grounded in the data collected by analyzing the codes and categories generated from the data.

• Ethnography: Keywords often associated with this design include culture, context, and participant observation. Researchers using this design aim to understand the cultural context of a particular group, community, or society by observing and interacting with participants.

• Narrative inquiry: Keywords often associated with this design include story, voice, and identity. This design aims to explore the lived experiences and personal narratives of individuals.

Choosing the right keywords is imperative as it helps researchers determine the appropriate design. It also helps readers understand the research design and the collected data type (Ploeg, J., 1999). Using keywords ensures that the research question is adequately addressed and the findings are relevant and valuable. In conclusion, keywords are essential in research, as they determine the research design and data collection method. The research question determines the keywords chosen and the research design used. Understanding the distinctions between qualitative and quantitative research and the appropriate keywords can ensure that the research question is adequately addressed (Creswell & Creswell, 2017).

I couldn't agree more with you about the importance of choosing the appropriate words for the research question. When I was going through the process of creating my research question for the research study I am working on, I noticed that one word could make or break the purpose of my study. I took some ideas into consideration from the weekly readings provided at the beginning of the program, wrote down 3-4 different research questions, and finally shared them with other classmates to find out what I could improve. In qualitative research, I would have to concentrate on explaining more the details of why the study is being conducted while providing some hypotheses about the problem. In quantitative research, I could provide more data pieces of information such as surveys, analysis, and proof of the problem we have as a society when it comes to the pay gap between female and male doctors. There must be a connection between the vocabulary, research question, problem statement, etc. Once they all connect is easier to choose between a qualitative and quantitative study. In conclusion, my dissertation topic aligns with my program of study in Doctor of Healthcare as it focuses on the deficit of the pay gap in the medical field, a gender problem. I guess my point is that from the beginning, every word needs to connect and bond (The University of Phoenix, 2021).

Task

• What are some of the similarities and differences between some of the main forms of qualitative data analysis?

References:

• Creswell, J. W., & Creswell, J. D. (2017). Research design (5th ed.). SAGE Publications.

• Tracy, S. J. (2019). Qualitative research methods: collecting evidence, crafting analysis, and communicating impact (2nd Ed). Hoboken, NJ: Wiley Blackwell.

• Ploeg, J Identifying the best research design to fit the question. Part 2: qualitative designs Evidence-Based Nursing 1999;2:36-37.

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