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|The Cathie Marsh Institute, University of Manchester|
The Cathie Marsh Institute
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This one-day course begins with a description of some examples where multilevel models are useful in statistical analysis and some examples of multilevel populations. We then cover the basic theory of multilevel models including random intercept and random slope specifications, the use of contextual variables in multilevel analysis and modelling repeated measures. This course is suitable for social scientists who want to learn about a quantitative technique that allows both individual and group level variations to be simultaneously taken into account when modelling social phenomena.
Intermediate (some prior knowledge)
£195 (£140 for those from educational, government and charitable institutions).
Website and registration
Mixing qualitative and quantitative approaches, Quality in Quantitative Research, Quantitative Data Handling and Data Analysis, Regression Methods, Linear regression, Logistic regression, Probit regression, Rasch modelling, Ordinal regression, Multilevel Modelling , Hierarchical models, Mixed models, Random effects, Quantitative Approaches (other)
Related publications and presentations
Mixing qualitative and quantitative approaches