Nursing Research: Survey Design and Analysis Using Mixed Methods
- William Axinn, University of Michigan
- Dirgha Ghimire, University of Michigan
In this course participants will review multiple methods of data collection and study approaches for combining multiple methods within a single research project. The course focuses on the integration of survey methods with multiple alternative methods to achieve a single data collection approach using the strengths of some methods to compensate for the weaknesses of other methods. The methods of focus will be unstructured or in-depth interviews, semi-structured interviews, focus groups, participant observation, archival research, and survey interviews. Emphasis will be placed on the specific contribution of each different method, as well as the use of combined methods to advance specific research questions in unique ways. This course is designed for those with a specific causal research question in mind. Throughout the course, participants will be asked to design multi-method approaches to a research question of their choice. By the end of this course, participants will have an overview of multi-method research that will enable them to design, understand, and evaluate multi-method approaches within a single project.
This interactive course uses a combination of lecture, in-class exercises, group exercises, and individual participation. Individual consultation will be provided to assist participants with the assignments leading to a grant proposal.
Course Materials: Axinn, William D. and Lisa D. Pearce, 2006, Mixed Method Data Collection Strategies, New York: Cambridge University Press.
Participants are encouraged to bring to the workshop a proposal under development or one under review or revision that includes mixed methods. At a minimum, a statement of the specific aims and research questions or hypotheses will be helpful for discussion and assignments.
Fee: Members = $1500; Non-members = $3000
Location: ICPSR -- Ann Arbor, MI
Date(s): July 27 - July 31
Time: 9:00 AM - 5:00 PM