Multilevel Analysis of Social Network Data
The course will explain how multilevel analysis can be useful for the analysis of social network data, given certain research questions relating to it.
The course begins by briefly reviewing multilevel models for the classic “pupils-in-schools” multilevel analysis example, before explaining how the model framework for that example can then be adapted and developed for social network analysis.
The course focus is on two situations for the multilevel analysis of cross-sectional social network data, with theoretical and practical examples in both cases:
Multilevel Models for non- or minimal overlapping ego-nets.
Multilevel Models for social network dependencies.
10th October 2017
Dr Mark Tranmer
The University of Edinburgh
ISG Training and Meeting Suite
3 Lady Lawson Street
All fees include event materials, lunch, morning and afternoon tea. They do not include travel and accommodation costs.
Full refund for cancellation one month before the course, NO refunds can be made after this date.