Multilevel Modelling for Social Research
Key Facts
| Module Code |
POLI4198 |
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| Module Convenor |
Cees van der Eijk |
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| Teaching Pattern |
Intensive Block
Two full days of computer-room-based instruction which contain both lecture-like elements and hands-on practical training. |
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| Semester Taught |
Spring Semester (usually in March) |
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| Method of Assessment |
Written assignment |
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| Pre Requisites |
NURS4048 Fundamentals of Quantitative Analysis, or equivalent to be approved by the convenor |
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| Module Administrator |
Rosemary McCabe |
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This course provides an intermediate level induction in modern multi-level modelling for social science research. These procedures have become increasingly accessible over the past few decades because of the general increase in available computing power and relevant software.
The need for multi-level modelling exists in all the social sciences and is not restricted to a single discipline; it is particularly relevant in all situations where observations are clustered, or where they are structured in terms on context (historical, geographical, administrative etc..). Multi-level modelling is therefore essential when dealing with comparative data, panel data and clustered observations (as is often the case in educational studies). It is safe to say that awareness of when multi-level modelling is (or is not) required has also greatly increased, so that ignoring it (when needed) in one's own analyses will almost certainly result in rejection by examiners, reviewers and editors.
This course not only introduces these methods, it also critically evaluates them in relation to other analytical options, and the course provides, in addition to substantive and methodological instruction, practical training in conducting these kinds of analysis.
Please note, this is an interdisciplinary module that is open to students from across the social sciences. If you have any doubts about whether the course is suitable for your needs or level of study, please contact the module convenor before registering.