Multilevel Modelling

Description:

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.

Objectives

• Introduce the general idea of multilevel modelling
• Consider some issues of multilevel modelling from a substantive and theoretical perspective.
• Show how multilevel modelling can applied to social data using specialist software MLwiN

Cost:

£195 (£140 for those from educational, government and charitable institutions).

Website and registration:

https://www.cmist.manchester.ac.uk/study/short/intermediate/multilevel-modelling/

Region:

North West

Keywords:

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
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)

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