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Multi-level Modeling

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Room 904

Adam Smith Building

University of Glasgow

Glasgow

G12 8RT

United Kingdom

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Multi-level Modeling
Mark Tranmer, Professor of Quantitative Social Science, University of Glasgow.
Email: mark.tranmer@glasgow.ac.uk
August 21st-23rd 2017, The University of Glasgow.

Morning Sessions in Room 904

Afternoon Sessions in Islay lab, Level 4, University Library


Course Description:
We will begin by examining the basics of a two-level model. From there we will proceed
to the analysis of other hierarchical structures with several levels and then onto complex
non-hierarchical population structures, including cross-classified and multiple
membership models. We look at examples for the use of multilevel models with
longitudinal data and social network data.

Throughout the course, we will look at examples based on substantive research
questions, and will include hands-on computing sessions to practice the application of the
various approaches. The main software used is R – and also MLwiN with R, through the
packages MLwiN, as will be explained. We will look other R packages that enable more
complex multilevel models to be fitted, including R2WinBUGS and R2OpenBUGS – which
work with WinBUGS and OpenBUGS respectively, and also the MCMCglmm package.
Prerequisites: Students should be familiar with basic statistical methods including OLS
regression analysis. Familiarity with the basics of logistic regression would also be an
advantage, though I will briefly review this, prior to giving details of the multilevel logistic
regression model.

Suggested Texts:
Snijders T and Bosker B (2012) Multilevel Analysis: An Introduction to Basic and
Advanced Multilevel Modelling. Sage Publications.
Further Reading:
Chapter 6 of Crossley N, Bellotti E, Edwards G, Everett MG, Koskinen J, Tranmer M
(2015) Social Network Analysis for Ego-Nets. Sage Publications.

ICPSR Summer Program 2017

Course Topics:
1. Introduction to Multilevel Models.
2. Random Intercept Models.
3. Random Slope Models.
4. Logistic Multilevel Models
5. Other non-linear multilevel models.
6. Cross-Classified Models.
7. Multiple Membership Models.
8. Multilevel Models for Longitudinal Data
9. Use of Multilevel Models with Social Network Data (outline)
10. Alternative Software.

Instructor - Biographical Sketch

Mark Tranmer is Professor of Quantitative Social Science in the School of Social &
Political Sciences University of Glasgow. His methodological research focus began in
multilevel modelling to assess geographical and organisational variations in individual
responses of interest. Recently, he has been interested in developing multilevel
approaches to estimate social network variations in individual level responses. He has
further extended these approaches to assess changes over time in these variations.
These methodological developments highlight his general interest in understanding social
population structure from a geographical, organisational, network, and temporal
perspective. Substantive applications of these methods include assessing individual and
area variations in the take-up of post-compulsory education, inequalities in health and
well-being, variations in crime by local area, variations in civic and political engagement
in the UK and Europe, changes in occupational tie structures in the UK over time, network
variations in hospital waiting times and patient safety, and area, school, and network
variations in drinking, smoking and drug use in six European countries.

He has published in a range of substantive and methodological journals. He was recently
guest co-editor of a special edition of “Social Networks” on Multilevel Social Networks. He
has honorary senior and professorial positions at the Universities of Stirling, Wollongong
(Australia) and USI (Switzerland). He has also taught a range of statistical methods
courses at various levels in the UK and internationally to academic and non-academic
audiences, He leads the Glasgow Quantitative Methods Group (GQMG), which promotes
the interdisciplinary use of quantitative methods in research & teaching.
https://twitter.com/G_Q_M_G

Example publication (involving more advanced multilevel models): Tranmer M., Steel, D.
and Browne, WJ (2014) Multiple-membership Multiple-Classification Models for Social
Network and Group Dependencies. Journal of the Royal Statistical Society: Series A
(Statistics in Society), vol. 177,no. 2, pages 439-455.

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Date and Time

Location

Room 904

Adam Smith Building

University of Glasgow

Glasgow

G12 8RT

United Kingdom

View Map

Refund Policy

No Refunds

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