PSY-RSS24 Introduction to Content Analysis0.5 semester credits
Content analysis is a method for analyzing data collected as texts or images. These types of analyses identify major themes and categories that appear in the data and determine common themes. In this introductory workshop, participants will learn the definition of categorical content analysis, and its place in the world of qualitative research. A review of qualitative research articles and their related data collection methods will inform methods of how categorical content can be used to create themes. Lieblich’s (Lieblich, Tuval-Mashiach & Zilber, 1998) four quadrant model of content analysis will be the conceptual frame for understanding the categorical approach. Students will share summaries of qualitative research articles, and practice coding narrative produced during the workshop. Finding patterns in human experience in context will enrich students’ understanding of qualitative research.
Delivery Method: In person
Grading Default: Credit/No Credit Only
Learning Objective(s):
1. Define epistemological assumptions of qualitative research, including human experience in context and rich description.
2. Discuss and review examples of Lieblich’s model of content analysis including categorical content analysis, categorical form, holistic content analysis and holistic form analysis. Use open coding on student produced narratives.
3. Present content analysis methods for reliability, coding, and constructing themes used in two current research articles chosen by students.
4. Create a content analysis research outline.
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