“Analysis of data reduces them to a more manageable form that permits ethnographers to tell a story about the people or group that is the focus of their research” (LeCompte & Schensul, 1999, p. 2). In fact, this definition can be applied across the wide spectrum of qualitative, quantitative, and mixed methods research since data analysis provides the answers and insights to the research questions posed by the researcher.
The information below offers a brief overview of data analysis, then, the names and short descriptions of a few of the many data analysis tools used by qualitative and quantitative researchers. Discuss the various analysis options with your dissertation chair or doctoral graduates who have used a particular data analysis tool.
LeCompte, M. D., & Schensul, J. J. (1999). Analyzing & interpreting ethnographic data. AltaMira Press.
Question Pro. (2021). Data analysis in research: Why, data, types of data, data analysis in qualitative and quantitative research.
My thanks to Paula Moskowitz, Head, Library Instruction & Diverse Populations, for her expert assistance in making URLs live links for easy access.
A basic overview of the categories within which qualitative research fall is below. These six categories were developed by Jacob (1987) and they show the categories of research widely used in education.
Jacob, E. (1987). Qualitative Research Traditions: A Review. Review of Educational Research, 57(1), 1-50.
Marshall, C., & Rossman, G. B. (1989). Designing qualitative research. Newbury Park, California: Sage publications Not owned by Manhattanville .
Main Methods of Data Collection:
Note: There are many methods of data collection and each has strengths and weaknesses. For example, in-depth interviews are useful for uncovering participants perspectives, but they are time consuming:
Adapted from Gumberg Library. Duquesne University. (2022, August 2). Qualitative research methods library guide. https://guides.library.duq.edu/c.php?g=836228&p=5971938