Description:  Many analyses in the social sciences are applied to data regarding characteristics of people, but not to data describing interactions among people.  But interactions play an important role in affecting behavior and beliefs that cannot be explained purely in terms of individual attributes or community context.  To address these issues, in this workshop I will introduce participants to the basic concepts, theories, and models of social network analysis.  Participants will then have opportunities to explore how to define and apply these models in their own settings. The focus is on theoretical model development which can inform that design of studies, measures, and analysis.  I will also introduce participants to basic software for estimating the models and representing network data, and I will introduce participants to a range of social network resources. Participants should have roughly one year of applied statistics so that they are extremely comfortable with the general linear model (regression and ANOVA), and analysis of 2×2 tables.

Instructor: Kenneth Frank, Michigan State University

Cost: $375

Requirements: Please bring your own laptop computer to participate in this workshop.

Click Here for the Complete Workshop Flyer

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