MRQAP: Inference in analyses with network data
Facilitator/s:
David Dekker
Workshop Description:
This workshop provides an in-depth introduction to the Multiple Regression Quadratic Assignment Procedure (MRQAP), a powerful statistical method widely used in social network analysis. Participants will explore how MRQAP helps test hypotheses and make valid inferences when dealing with relational data that violate traditional independence assumptions. The session will combine theoretical insights with practical demonstrations, guiding attendees through the process of applying MRQAP to real-world social network datasets. Ideal for researchers and practitioners, this workshop aims to enhance participants’ ability to conduct robust and interpretable analyses in studies involving social capital, collaboration, and networked systems.
Objectives or Learning Outcomes:
This workshop aims to introduce participants to the principles of network data analysis and the use of MRQAP for drawing valid inferences from relational datasets.
By the end of the session, participants will:
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Understand the basic rationale and applications of MRQAP in social network research.
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Gain familiarity with how network structures influence statistical inference.
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Be better equipped to apply network-based analytical thinking in their own research or professional contexts.
Intended Audience:
This workshop is designed for researchers, academics, and practitioners interested in social network analysis, social capital, or data-driven approaches to understanding relationships and collaboration. It is suitable for participants with a basic understanding of quantitative research methods, though prior experience with network analysis is not required.
About the Facilitator/s:
Dr Dekker is a Reseach Fellow at Heriot-Watt University Dubai and an expert in social network theory, a science which merges mathematics and sociology. Originally from The Netherlands, he has a PhD from Erasmus University Rotterdam and, alongside his academic work, advises businesses on green investments.