Qualitative data can be used for various purposes including evaluating individualized outcomes, capturing program processes, exploring a new area of interest (e.g., to identify the unknown variables one might want to measure in greater depth/breadth), identifying unanticipated consequences, and side effects, supporting participatory evaluations, assessing quality, and humanizing evaluations by portraying the people and stories behind the numbers.
This class will cover the basics of qualitative evaluation, including design, case selection (purposeful sampling), data collection techniques, and beginning analysis. Ways of increasing the rigor and credibility of qualitative evaluations will be examined. Mixed methods approaches will be included. Alternative qualitative strategies and new, innovative directions will complete the course. The strengths and weaknesses of various qualitative methods will be identified. Exercises will provide experience in applying qualitative methods and analysis in evaluations.
Recommended Text:
Patton, M. (2015). Qualitative research and evaluation methods (4th ed.). Sage.
Recommended Audience:
This course is best suited for entry-level evaluators looking to develop their knowledge of qualitative evaluation methods. Mid-level professionals seeking a refresher on the basics of qualitative evaluation will also find this course helpful.