Data Analysis Methods
Data Analysis Methods
Order Instructions:
Using the doctoral study that you selected in Week 1 and send to you, evaluate the data analysis methods used. Incorporate appropriate references to the course readings about data analysis methods. For all the questions below, remember to explain how you came to your conclusions. Support your answers with explanation or evidence drawn from the dissertation and from
course readings.
• Were the data analysis methods used appropriately for the qualitative tradition or research design (e.g., case study, ethnography, grounded theory, etc.)? Why or why not?
• Were all aspects of the data analysis methods described or justified sufficiently? If not, what could have the author said and why? If sufficient, explain why you think so.
• Do you think the data needed to answer the research question(s) could have been analyzed as effectively using other data analysis methods? If so, what other methods would you recommend and why? If not, why not? This includes the data analysis methods as well as how they were conducted or implemented.
• Add any additional comments for evaluation not addressed above.
Use citations and references to support your opinions and statements.
I will resend the article via email to be use in completing this paper.
Course readings
• Readings
Course Texts
Qualitative Inquiry & Research Design: Choosing Among Five Approaches
• Chapter 8, “Data Analysis and Representation”
This chapter describes the data analysis strategies used in qualitative research and then provides information on how to represent that data.
Case Study Research: Design and Methods
• Chapter 5, “Analyzing Case Study Evidence: How to Start Your Analysis, Your Analytic Choices, and How They Work”
Knowing how to analyze a case study can help you while doing your research. This chapter illustrates several ways to do this.
American Psychological Association, (2010). Publication manual of the American Psychological Association (6th ed.). Washington, DC: Author. (Note: You should have received this reference text for a previous course. The APA Publication Manual will be used as a resource throughout this program.)
Article
• Ryan, G. W., & Bernard, H. R. (2003). Techniques to identify themes.Field Methods, 15(1), 85–109.
Retrieved from Sage Journals database.
This article provides information on coding data from qualitative interviews.
Additional Resources
Bernard, H. R. (2010). Analyzing qualitative data: Systematic approaches, Los Angeles, CA: Sage Publications.
• Chapter 5 “Introduction to Data Analysis”
• Chapter 6 “Conceputal Models”
• Birks, M. J., Chapman, Y., & Francis, K. (2007). Breaching the wall: Interviewing people from other cultures. Journal of Transcultural Nursing, 18(2), 150–156.
Retrieved from SAGE Premier 2010 database.
This article provides insights and techniques to improve interviewing techniques as well as provides some context for improving ethnographic culture analyses.
• Brent, E., & Slusarz, P. (2003). “Feeling the Beat”: Intelligent coding advice from metaknowledge in qualitative research. Social Science Computer Review, 21(3), 281–303.
Retrieved from SAGE Premier 2010 database.
This article examines the coding processes and the uses of computer programs to potentially help in the coding and analysis process. .
• Csordas, T. J., Dole, C., Tran, A., Strickland, M., & Storck, M. G. (2010). Ways of asking, ways of telling: A methodological comparison of ethnographic and researchdiagnostic interviews. Culture, Medicine, and Psychiatry, 34(1), 29–55.
Retrieved from ProQuest Central database.
This article provides insights and tools so you can better understand the practice of interviewing in qualitative research.
• Janesick, V. J. (2003). “Stretching” exercises for qualitative researchers (2nd ed.). Thousand Oaks, CA: Sage.
This book provides you with in-depth techniques to help improve qualitative research skills. It is highly recommended for DBA students planning qualitative research, and you may want to think about purchasing this during the first iteration of DBA 9000.
• LeVasseur, J. J. (2003). The problem of bracketing in phenomenology. Qualitative Health Research, 13(3), 408–420.
Retrieved from SAGE Premier 2010 database.
This article provides insights on how you can improve phenomenological research, particularly with respect to the concept of bracketing.
• Merriam, S. B., & Associates. (2002). Qualitative research in practice: Examples for discussion and analysis. San Francisco, CA: Jossey-Bass.
This book supplies you with in-depth techniques to help improve qualitative research skills.
• Rubin, H. J., & Rubin, I. S. (2005). Qualitative interviewing: The art of hearing data (2nd ed.). Thousand Oaks, CA: Sage.
This book provides you with in-depth techniques to help improve qualitative research skills. It is highly recommended for DBA students planning qualitative research, and you may want to think about purchasing this during the first iteration of DDBA 9000.
SAMPLE ANSWER
Data Analysis Methods
After carefully looking at the doctoral study, one ought to find that some methods of data analysis were used in an appropriate manner. However, to make sense of the term data analysis it first needs to be defined in the context we are in. Data analysis refers to the process of investigating, transforming, cleaning and modelling data collected from a research or study with the sole purpose of discovering information that would be significant to the cause of the study (Agresti et al., 2011). Such information would including finding a trend or pattern in the data that would point to a certain point of view.
From the doctoral study that was chosen, you realize that it was a qualitative phenomenological study. The main method of gathering data that was used is an interview. There were at least three types of interviews that were used to acquire data from some people involved with the study. However, this paper will focus on the data analysis methods used to get meaning from the collected data. After all, the sole purpose of the study would be betrayed if there was no way to ensure that the correct or appropriate data analysis methods were implemented to ensure the study was of a wide range of relevance.
The data analysis methods used were certainly appropriate for the specific study. Since the method of gathering data that was used was interviewed, it was deemed necessary and prudent that the interviews were analyzed means of coding or classifying the text from the interview. Coding text from the interview solely involved the use of phrases and words by the study participant to describe or explain their experience with ethical decision making. The data from the codes would then be counted, and particular attention was drawn to the most recurring words or phrases from the interviews. This method of analyzing data is very effective as it would determine or identify with ease the most influential aspects as mentioned in the context of the doctoral study (Tesch, 2013).
The aspects of data analysis were justified efficiently. It is unavoidable to notice the comprehendible way with which the author explained the use of the methods of data analysis. Furthermore, the author added information concerning the significance of the selected data analysis methods chosen for the specific doctoral study. All these pointed out the importance and effectiveness of the data analysis methods chosen thus justifying the use of them.
It is paramount to keep an open mind when discussing matters concerning research or, in this case, doctoral studies. Moreover, it is prudent to use such research or studies as learning points. Therefore, it would be unwise to say that the data needed to answer the research question was tied down to an analysis by the chosen data analysis methods alone. Hence, there are other data analysis methods that would have been as effective as the methods of data analysis that were chosen for the doctoral study. An example data analysis methods that could have been chosen for the process of analyzing data would be grounded theory. The grounded theory method would have utilized a systematic approach to enquiry. This method would involve the process of looking for relationships within the data being analyzed.
References
Agresti, A., & Kateri, M. (2011). Categorical data analysis (pp. 206-208). Springer Berlin Heidelberg.
Bazeley, P. (2013). Qualitative data analysis: Practical strategies. Sage.
Grbich, C. (2012). Qualitative data analysis: An introduction. Sage.
Tesch, R. (2013). Qualitative Types: Analysis Typ. Routledge.
Thyme, K. E., Wiberg, B., Lundman, B., & Graneheim, U. H. (2013). Qualitative content analysis in art psychotherapy research: Concepts, procedures, and measures to reveal the latent meaning in pictures and the words attached to the pictures. The Arts in Psychotherapy, 40(1), 101-107.
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