Courses / Modules / STAT6102 Advanced Statistical Modelling III: Multilevel Modelling

Advanced Statistical Modelling III: Multilevel Modelling

When you'll study it: Semester 2
CATS points: 10
ECTS points: 5
Level: Level 7
Module lead: Angela Luna Hernandez
Academic year: 2025-26

Module overview

This module introduces students to multilevel methods for analysing hierarchical structures in the context of cross-sectional and longitudinal data. It also provides students with an understanding of some key methods of hierarchical data analysis, how to apply these methods and how to interpret the results using suitable statistical software.

Linked modules

Pre-requisite: STAT6095

Learning and Teaching

Study time
Type	Hours
Teaching	27
Independent Study	73
Total study time	100

Resources & Reading list

Internet Resources

Centre for Multilevel Modelling at the University of Bristol (look at learning and training in particular).

Textbooks

Hox, J. (2010). Multilevel analysis. Techniques and applications. New York: Routledge.

Diggle, P. J., Heagerty, P., Liang, K.Y. and Zeger, S.L. (2013). The Analysis of Longitudinal Data. Oxford: Clarendon Press.

Raudenbush, S.W. and Bryk, A.S. (2002). Hierarchical Linear Models: Applications and Data Analysis Methods. Thousand Oaks: Sage Publications.

Snijders, T.A.B. and Bosker, R.J. (1999). Multilevel Analysis. London: Sage.

Singer, J.D., Willett, J. B. (2003). Applied Longitudinal Data Analysis: Modelling Change and Event Occurrence. New York: OUP.

Goldstein, H. (2011). Multilevel Statistical Models. Chichester: John Wiley & Sons.

Assessment

Summative

This is how we’ll formally assess what you have learned in this module.

Breakdown
Method	Percentage contribution
Coursework assignment(s)	100%

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

Breakdown
Method	Percentage contribution
Coursework assignment(s)	100%

Repeat Information

Repeat type: Internal & External