Formal Methods for Qualitative Comparative Analysis (QCA)
This full day workshop is designed to provide an introduction to formal methods for qualitative comparative analysis (QCA; aka configurational comparative methods). QCA includes a range of analytical tools focused on evaluating complex causal relationships in case-based comparative datasets. These methods have been used in a wide range of social science fields and provide a bridge between qualitative and quantitative approaches to formal comparison. In this workshop, participants will learn how to collect and evaluate data for QCA as well as basic methods for both “crisp set” and “fuzzy set” analyses. The workshop will include lecture as well as hands-on exercises using multiple software packages. This session is appropriate for researchers with an interest in QCA methods but no previous experience and may also provide a refresher for researchers with some experience in QCA methods. Upon completion of this course, participants should be able to design and conduct basic QCA and will also have a working knowledge of new directions in QCA research. Lunch will be included in your registration.
Please bring your laptops for this hands on workshop.
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Instructor: Dr. Matt Peeples
Matt Peeples is an Associate Professor in ASU’s School of Human Evolution & Social Change and Research Director of the ASU Center for Archaeology & Society. He is an archaeologist working in the U.S. Southwest and Mexican Northwest using comparative social science theory and methods to explore the long-term trajectories of social change among the pre-Hispanic agricultural populations in the region. He teaches graduate quantitative methods courses in SHESC and is engaged in a number of collaborative projects focused on applying network analytical techniques and related methods to large comparative archaeological datasets.
Date: Friday, November 8, 2019 - Please bring your laptops
Time: 9:00am - 4:00pm - Lunch will be provided
Location: Coor Hall, Room 5536 - NE corner of 5th floor
Workshop Fee: 50.00 (includes lunch)
Register HERE