Personal Network Analysis
Please bring your laptops for this hands on workshop.
Social network analysis (SNA) is the study of patterns of human relations.
Social network analysis (SNA) is the study of patterns of human relations.
This online workshop covers the basics of grounded theory. Participants will learn techniques such as theoretical sampling, line-by-line coding, axial coding, memo-writing, theoretical saturation, member checks, and presentation of models. The course takes a hands on approach, and uses both lectures and activities where participants work with real data. While emphasis is on building conceptual and methodological expertise, participants will also learn how to use text analysis software.
This one-day workshop covers the basics of content analysis. Participants will learn techniques such as codebook construction, unitization, inter-rater reliability assessment, team management, and basic computerized coding. This workshop is appropriate as an introduction for scholars interested in developing specialized analytic skills in content analysis. Participants will complete the course with the basic skills to complete a content analysis.
Limited to 20 participants.
Please bring your laptops for this one-day workshop covering the basics of qualitative data analysis. Participants will learn building block techniques, such as theme identification and codebook development, which can be used across many analytic traditions. The course takes a hands-on approach, and uses both lectures and activities where participants analyze real data. While the emphasis is on building conceptual and methodological expertise, participants will also learn how to use text analysis software.
Spring 2024
February 23 - Semi-structured Interviewing - Presented by Dr. Gery W. Ryan, Kaiser Permanente - In person workshop - DETAILS
February 16 - Sampling Essentials for Qualitative Research - Presented by Dr. Gregory Guest, University of North Carolina, Chapel Hill, Online Zoom workshop - DETAILS -
March 22 - GeoAI: Training a geospatial machine learning model start to finish - Presented by Dr. Eric Shook, University of Minnesota - In person workshop -Full, waitlist only - DETAILS
Dr. Michael Kuby, Professor, SGSUP, Senior Sustainability Scientist, GIOS
Dr. Scott Kelley, Instructor, School of Geographical Sciences and Urban Planning (SGSUP)
Dr. Soe W. Myint, Associate Professor, School of Geographical Sciences and Urban Planning (SGSUP)
Faculty members and students from any school/unit at ASU (at any of the four campuses) are welcome to use the ISSR lab for social science research.
Focus Group Room:
Fall 202
Amber Wutich is an Associate Professor in ASU’s School of Human Evolution and Social Change.