Course: Qualitative Data Analysis
Today we take an in-depth look at two inter-related research approaches: narrative analysis and case study analysis.
Asking research participants to tell stories is an often-used technique for in-depth interviewing (IDI). It can help participants relax by giving them an opportunity to provide information at a pace that is comfortable to them. Stories can also provide rich opportunities for the interviewer to probe on topics that would be otherwise difficult to ask about directly. Analyzing data that comes in story form can be complex, however. Today we explore narrative analysis and discuss an example of its use.
Somewhat related to narrative research is case study research, which is commonly used in the fields of phsychiatry, psychology, medicine, and law.
Today we discuss the process of grounded theory analysis and discuss some examples.
Today we learn about developing a coding scheme to assist you in indexing your data topically. We also discuss the uses of computer software in data analysis. We discuss the pros and cons of using computer software and help you develop realistic expectations about what the software can help you achieve in your analysis.
What constitutes an effective presentation of introduction / methods / results / discussion in qualitative research? We will explore effective written presentation by discussing examples from the published literature.
In today's lecture we discuss structured interviewing techniques used in cultural domain analysis. These techniques include freelisting and pile sorting. We also discuss how to calculate cultural saliency and how to use multidimensional scaling to examine the clusters obtained during pile sorting.