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Introduction to Multilevel and Mixed Effects Models using R Nottingham Trent University

Highlights
Tuition fee
360 GBP / full
360 GBP / full
Unknown
Tuition fee
360 GBP / full
360 GBP / full
Unknown
Duration
2 days
Duration
2 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Unknown
Start date
Unknown
Taught in
English
Taught in
English

About

This Introduction to Multilevel and Mixed Effects Models using R course at Nottingham Trent University offers a thorough, hands-on introduction to working with R and RStudio, which is the most widely used integrated development environment for R.

Overview

Whether you’re an early-career researcher, an academic looking to broaden your methods, or a professional data analyst interested in robust statistical tooling, this Introduction to Multilevel and Mixed Effects Models using R course at Nottingham Trent University equips you to move confidently toward more advanced analysis.

What you’ll study

Through real-world examples and coding exercises, you’ll develop the skills to fit, interpret, and evaluate multilevel models with confidence. By the end of the course, you’ll be equipped to handle complex, structured data and make informed statistical decisions in research and industry.

Programme Structure

Topics include:

  • Random Effects Models
  • Normal Random Effects Models
  • Linear Mixed Effects Models
  • Multilevel Models for Nested Data
  • Multilevel Models for Crossed Data
  • Group-Level Predictors
  • Explained Variance in Multilevel Models
  • Power Analysis and Sample Size Determination

Key information

Duration

  • Part-time
    • 2 days

Start dates & application deadlines

Language

English

Delivered

Online

Campus Location

  • Nottingham, United Kingdom

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

This course is aimed at:

  • Researchers and Analysts who have experience with regression models and want to extend their statistical toolkit.
  • Academics and PhD Students working with hierarchical data structures.
  • Data Scientists and Statisticians looking to refine their multilevel modelling techniques.
  • Professionals in government, healthcare, and social sciences who work with structured data.
Prerequisites:
  • Familiarity with R is assumed.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    360 GBP / full
    360 GBP / full
  • Domestic

    Citizens or residents
    360 GBP / full
    360 GBP / full

Funding

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Introduction to Multilevel and Mixed Effects Models using R
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Introduction to Multilevel and Mixed Effects Models using R
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Nottingham Trent University

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