Multilevel Modelling

Date:

10/12/2018

Organised by:

The University of Manchester

Presenter:

Dr Patricio Troncoso

Level:

Intermediate (some prior knowledge)

Contact:

CMI Short Courses
cmi-shortcourses@manchester.ac.uk
0161 2751980

Map:

View in Google Maps  (M13 9PL)

Venue:

University of Manchester

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 be applied to social data using specialist software MLwiN.

Cost:

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

Website and registration:

Region:

North West

Keywords:

Analysis of existing survey data, Digital Social Research, Analysis of social media, Data Management , Data Quality and Data Management (other), Multilevel Modelling , Hierarchical models, Mixed models, Random effects, MLwiN

Related publications and presentations:

Analysis of existing survey data
Digital Social Research
Analysis of social media
Data Management
Data Quality and Data Management (other)
Multilevel Modelling
Hierarchical models
Mixed models
Random effects
MLwiN

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