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Statistics - Multilevel Modelling
Royal Statistical Society

24 & 25 February 2026 - Certificate of attendance included!

Summary

Price
£762 - £1,002 inc VAT
Study method
Online + live classes
Duration
2 days · Full-time
Qualification
No formal qualification
Certificates
  • Certificate of attendance - Free
Additional info
  • Tutor is available to students

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Dates

Start date
End date
24/02/2026
25/02/2026

Overview

This two-day course is designed to give participants an introduction to the theory and application of multilevel regression models for clustered or hierarchical data using the MLwiN statistical software package. It will be held on the 24 & 25 February 2026.

Certificates

Certificate of attendance

Digital certificate - Included

Description

This two-day course is designed to give participants an introduction to the theory and application of multilevel regression models for clustered or hierarchical data using the MLwiN statistical software package. We focus on two-level linear and logistic regression models for cross-sectional (individuals nested within groups) and longitudinal (repeated measures nested within individuals) data. The course consists of a 2:1 mix of lectures and “hands on” practical sessions using MLwiN. Each new modelling development is illustrated with real applications to social, behavioural and medical science data sets.

Learning Outcomes

  • An appreciation of the implications of ignoring clustered cross-sectional and longitudinal data structures in statistical modelling

  • An understanding of a range of multilevel regression models for analysing clustered and longitudinal data

  • Practice at estimating two-level linear and logistic regression models in MLwiN, and at interpreting and plotting the results

Topics Covered

  • Overwiew to multilevel modelling

  • Variance-component models

  • Random-intercepts models

  • ?Within - and between - cluster effects of the covariates

  • ?Three-level models

  • Random slope models

  • Growth-curve multilevel models for repeated measures longitudinal data

  • Multilevel logistic regression for binary response data

  • Resources continuing your multilevel modelling learning after the course

Who is this course for?

Applied quantitative researchers with an interest in the analysis of clustered cross-sectional and longitudinal data.

Requirements

The course will not assume a high level of statistical knowledge, but participants will be expected to have a good understanding and experience of applying and interpreting conventional linear and logistic regression models.

Delegates will need to download the latest version of MLwiN onto their laptop and use this for the course.

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Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

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