EH216-7-SU-CO:
Multilevel Models: Practical Applications
2023/24
Essex Summer School in Social Science Data Analysis
Colchester Campus
Summer
Postgraduate: Level 7
Current
Monday 22 April 2024
Friday 28 June 2024
30
03 February 2023
Requisites for this module
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(none)
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This course is an applied introduction to multilevel modelling that aims to give you deep understanding of the standard model. It does not presume any prior knowledge in multilevel modelling but does require you to be very familiar with multiple regression analysis.
No information available.
On completion of the course, participants will be able to recognise a multilevel structure, specify a multilevel model with complex variation at a number of levels, and fit and interpret a range of multilevel models. The course does not cover multilevel analysis of panel data, multivariate responses, or survival data, although the course does provide the essential groundwork for these extensions. This course is appropriate if you are analysing a survey with complex structure, are interested in the importance of contextual questions, or if you need to undertake a quantitative performance review of an organisation. A distinctive feature of the course is the focus on variance functions estimated simultaneously as several levels.
Course Prerequisites
This is not an introductory course to statistical modelling, as participants require familiarity with regression modelling and inferential statistics, especially regression intercepts and slopes, standard errors, t-ratios, residuals, and the concepts of variance and co-variance. Even so, the aim is not to cover mathematical derivations and statistical theory, but to provide a conceptual framework and ‘hands-on’ experience. It does not require prior knowledge of multilevel modelling. Students choosing to conduct practical exercises in R should have a moderate level of experience using R; no past experience of the software is required for those choosing to use MLwiN.
Remedial Reading:
Weisberg, S. 1980. Applied Linear Regression. Wiley. Chs. 1 and 2. Or equivalently, participants are strongly encouraged to undertake the Lemma course on regression modelling before coming to Essex; modules 1 to 3 of http://www.cmm.bristol.ac.uk/learning-training/course.shtml
Background Reading
Paterson, L., and Goldstein, H. 1992. ‘New statistical models for analyzing social structures: An introduction to multilevel models’, British Education Research Journal, 20:190-9.
Jones, K., and Duncan, C. 1998. ‘Modelling context and heterogeneity: Applying multilevel models’. http://www.oxfordscholarship.com/view/10.1093/0198292376.001.0001/acprof-9780198292371-chapter-6
Scarbrough and E. Tanenbaum (Eds.), Research Strategies in the Social Sciences. Oxford University Press.
Jones, K Multilevel models for geographical research; freely downloadable from https://www.researchgate.net/profile/Kelvyn_Jones
Module information will be made available at https://essexsummerschool.com/.
Please contact essexsummerschoolssda@essex.ac.uk and govpgquery@essex.ac.uk with any queries.
No information available.
This module does not appear to have a published bibliography for this year.
Assessment items, weightings and deadlines
| Coursework / exam |
Description |
Deadline |
Coursework weighting |
| Coursework |
Assessment one |
|
50% |
| Coursework |
Assessment two |
|
50% |
Exam format definitions
- Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
- In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
- In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
- In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary,
for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.
Your department will provide further guidance before your exams.
Overall assessment
Reassessment
Module supervisor and teaching staff
No
No
No
Available via Moodle
No lecture recording information available for this module.
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