Multilevel Analysis of Social Network Data
|Dates:||11 October 2016|
|What is it:||Workshop|
|Organiser:||Cathie Marsh Institute for Social Research|
|Speaker:||Dr Mark Tranmer|
This course is aimed at researchers who are interested in the potential for Multilevel Analysis with Social Network Data. The focus will mainly be about cross-sectional data, and there will be both lecture-based and hands-on components to the course.
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.
For more information and to book:
Travel and Contact Information
Humanities Bridgeford Street