This course runs from October 30 - 31, from 10:00am - 5:00pm (EST) daily.
Data analysis involves creativity, sensitivity and rigor. In its most basic form qualitative data analysis involves some sort of labeling, coding and clustering in order to make sense of data collected from evaluation fieldwork, interviews, and/or document analysis. This intermediate level workshop builds on basic coding and categorizing familiar to most evaluators, and extends the array of strategies available to support rigorous interpretations. This workshop presents an array of approaches to support the analysis of qualitative data with an emphasis on procedures for the analysis of interview data. Strategies such as enumerative and interpretive content analysis, thematic analysis, narrative analysis, and the framework method of analysis are presented and illustrated with reference to examples from evaluation and from a range of disciplines, including sociology, education, political science and psychology.