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
- StartingApply anytime.
Language
Delivered
Campus Location
- Nottingham, United Kingdom
Disciplines
Statistics View 21 other Short Courses in Statistics in United KingdomWhat students do after studying
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.
- Familiarity with R is assumed.
Tuition Fees
-
International Applies to you
Applies to youNon-residents360 GBP / full≈ 360 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents360 GBP / full≈ 360 GBP / full