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ANOVA: General Linear Models (GLMs) with SPSS

  • 9:30am to 1pm
  • 2 days

Overview

This online short course on analysis of variance (ANOVA) takes a hands-on approach to learning.

You'll learn how to choose, run, interpret and report a variety of ANOVA models available in SPSS within the general linear model (GLM) function.

SPSS software will be used for demonstration and practice throughout.

This course takes place online, over two mornings (9:30am to 1pm). 

This course is delivered by UCL's Centre for Applied Statistics Courses (CASC), part of the UCL Great Ormond Street Institute of Child Health (ICH).

Course content

ANOVA is a branch of statistical analysis used for comparing numerical data between groups and categories, with the flexibility to increase model size and complexity and control for other numeric variables.

You'll be introduced to the underlying principles of ANOVA and the extensions and applications of this type of statistical analysis are discussed.

The structure, application and interpretation of the following models will be covered:

  • one-way ANOVA
  • factorial ANOVA
  • univariate ANOVA
  • multivariate ANOVA
  • repeated measures ANOVA

The conceptual basis of this course is applicable to other statistical packages, but practical elements of the course are conducted using SPSS. Example datasets are provided for you to perform analyses on.

Computers and software

You'll need to have SPSS installed and licensed on your computer. Where possible, we recommend using a recent version of SPSS (e.g. version 25) for maximum compatibility with the notes provided during the course.

Learning outcomes

By the end of this course you should be able to:

  • understand what ANOVA is and the basics of how it works
  • know the data checks and parametric assumptions for ANOVA
  • know/understand the steps to carrying out an ANOVA in SPSS
  • select the appropriate test for different study designs
  • read and interpret SPSS output for ANOVA

You should also have some understanding of similarities between ANOVA and regression.

Eligibility

Basic knowledge of introductory statistics and of SPSS software are desirable.

Cost and concessions

The fees are as follows:

  • External delegates (non UCL) - £200
  • UCL staff, students, alumni - £100*
  • ICH/GOSH staff and students - free    

* valid UCL email address and/or UCL alumni number required upon registration

Certificates

You can request a certificate of attendance for this course once you've completed it. Please send your request to ich.statscou@ucl.ac.uk

Include the following in your email:

  • the name of the completed course for which you'd like a certificate
  • how you'd like your name presented on the certificate (if the name/format differs from the details you gave during registration)

Cancellations

Read the cancellation policy for this course on the ICH website. Please send all cancellation requests to the course administrator

Find out about other statistics courses

CASC's stats courses are for anyone requiring an understanding of research methodology and statistical analyses. The courses will allow non-statisticians to interpret published research and/or undertake their own research studies.

Find out more about CASC's full range of statistics courses, and the continuing statistics training scheme (book six one-day courses and get a seventh free.)

Course team

Dr Eirini Koutoumanou - Course Lead

Dr Eirini Koutoumanou - Course Lead

Eirini has a BSc in Statistics from Athens University of Economics and Business and an MSc in Statistics from Lancaster University (funded by the Engineering and Physical Sciences Research Council). She joined UCL GOS Institute of Child Health in 2008 to develop a range of short courses for anyone interested in learning new statistical skills. Soon after, CASC was born. In 2014, she was promoted to Senior Teaching Fellow. In 2019, she successfully passed her PhD viva on the topic of Copula models and their application within paediatric data. Since early 2020 she’s been co-directing CASC with its founder, Professor Angie Wade.

Learner reviews

"I found the course and the learning materials very useful. The learning materials were very detailed giving me the opportunity to refer back to them anytime."

"It's a very useful course on ANOVA."

Course information last modified: 9 Jul 2021, 08:19