Network Analysis

June 6-10, 2022
Replay Access: 1 year from end of workshop
Instructor: Doug Steinley

Student: $795
Professional: $995

Category: Livestream, Workshops

Network Analysis is a five-day workshop taught by Doug Steinley that focuses on the application and interpretation of techniques for modeling connections between observations (e.g., actors) within a network. Examples include social networks among peers, connectivity networks in fMRI data, symptom networks in diagnostic data, and management networks within the workplace. In this workshop we first introduce the basic concepts of network analysis, such as centrality measures, and the descriptive, structural analysis of network data. After covering these foundations, we discuss special considerations for two burgeoning areas of application: brain network analysis for examining connectivity and psychometric network models for examining the structure of item responses (e.g., symptom networks). Last, we explore how we can use exponential random graph models (ERGMs) to obtain inferential tests of specific hypotheses about network characteristics in both cross-sectional and longitudinal data. Throughout, we demonstrate visualization techniques for leveraging the true power of network data — understanding how observations are interrelated with each other.


Doug Steinley, Ph.D.

Doug Steinley is a Professor in the Department of Psychology at the University of Missouri. His research and teaching focus on multivariate statistical methodology, with a primary interest in cluster analysis (both traditional procedures and more modern mixture modeling techniques) and social network analysis. Read More

Workshop Details


In an effort to continually improve our instruction we obtain student evaluations with each course offering. Here is a sample of reviews from our prior Network Analysis workshops:

Presenter knowledge - Fantastic!!! Style of presentation - Fantastic!!!

Extremely informative, useful, well-designed and well-structured. The speaker was fantastic. I would highly recommend this or other Curran-Bauer workshops.

A big strength is the notes. These materials help me feel positive that I will be able to integrate these methods into my research.

It's a very good introduction and detailed description of network analysis.

Doug was great! Very engaging and clear lectures.

Highly recommend. I'd been teaching myself through publications and the internet but this course really filled in my theoretical knowledge gaps. I feel much more confident in network analysis now!

Doug is an excellent teacher! I feel like I'm walking away with practical knowledge.

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