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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 is delivered by UCL's Centre for Applied Statistics Courses (CASC), part of the UCL Great Ormond Street Institute of Child Health (ICH).
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.
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.
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
You can request a certificate of attendance for this course once you've completed it. Please send your request to email@example.com
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)
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.)
Dr Catalina Rivera Suarez
Catalina has been an Associate Lecturer (Teaching) at CASC since January 2021. She has a PhD in Psychology and an MSc in Applied Statistics from Indiana University. She’s passionate about teaching courses in research methods, statistics, and statistical software. Catalina’s research focuses on studying how caregivers support the development of children's attentional control and language. She implements multilevel modeling techniques to investigate the moment-to-moment dynamics of shared joint visual engagement, as well as the quality of the language input, influencing infant learning and sustained attention at multiple timescales.
Dr Eirini Koutoumanou
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 has been co-directing CASC with its founder, Emeritus Professor Angie Wade and has been the sole Director of CASC since January 2022. Eirini was promoted to Associate Professor (Teaching) with effect from October 2022.
"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."
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Course information last modified: 30 Nov 2022, 16:01