IN PERSON – 5-day Statistics Short Course
Morning sessions will consist primarily of lectures and class discussions. Afternoon sessions will be dedicated to lab demonstrations and activities designed to help participants become users of social network methods and software. Participants are not required but encouraged to bring their own complete network data. The Friday afternoon session will be reserved for consulting on individual projects.
Survey a variety of approaches to collecting and analyzing network data at single and multiple points in time using R software. Topics include basic statistics and visualization, network regression/QAP, exponential random graph models (ERGMs), and stochastic actor-oriented models (RSiena). The workshop will consist of a mixture of classroom teaching and hands-on computer work. As such, this is a great introduction to R for anyone! Network data will be provided for the lab activities and participants will conduct some type of analysis every day. This is an applied seminar that will take you from novice to proficient in 5 days!
- Coming Soon…
This summer institute is designed primarily for researchers who are interested in conducting social network research, particularly those who are embarking upon it for the first time.
Instructor: Leslie Echols, Ph.D.
Leslie is an Assistant Professor in the Department of Psychology at Missouri State University. She holds a Ph.D. in education with a specialization in human development and psychology from University of California, Los Angeles. She also hold a M.S. in education from City University of New York. She is a former elementary education teacher and currently studies peer relations in the school context. Specifically,… much of her research investigates the role of school ethnic composition and scheduling practices on friendship and victimization among classmates and other peers.
Instructor: Michael D. Siciliano, Ph.D.
Michael is an Associate Professor in the Department of Public Administration at the University of Illinois at Chicago (UIC). He holds a Ph.D. in public policy and public administration from the University of Pittsburgh and a master’s in public policy analysis from Carnegie Mellon University. Michael’s work investigates the factors influencing network formation as well as the effect of social structure on individual and collective behavior, decision-making, and performance. … Michael has taught network analysis training seminars and workshops for the Public Management Research Association, the Midwest Association for Public Opinion Research (MAPOR), the Science of Team Science Conference, the Center for Disaster Management at the University of Pittsburgh, and the Center for Clinical and Translational Science at UIC.
APA Continuing Education Credits:
This course offers 23 hours of Continuing Education Credits. Stats Camp Foundation is approved by the American Psychological Association to sponsor continuing education for psychologists. Stats Camp Foundation maintains responsibility for this program and its content.
Materials, downloads, recorded course video viewable for up to one year.