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ANOVA: General Linear Models (GLMs) with SPSS

  • 5 hours
  • 1 day
  • 02 July 2019

Overview

This one-day 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).

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

Use of SPSS

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.

The course will take place in a cluster room, with access to a computer and version 22 of SPSS throughout the day.

You're welcome to bring your own laptop if preferred, but please ensure your software is licenced before attending. Where possible, we recommend that you use a recent version of SPSS (e.g. 19-22) 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

Prices include printed course materials, refreshments (and lunch for non-ICH  participants).

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

You can cancel your booking up to five working days before the start of the course for a full refund, but please give as much notice as possible. Places cancelled or changed after this point won't be eligible for a refund. 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.)

Sign up for short course announcements: Subscribe to the UCL Life Learning newsletter to receive news and updates on courses in your chosen area. (For updates on a specific course, contact the administrator - see 'Contact information'.)

Course team

Eirini Koutoumanou - Course Lead

Eirini joined GOS ICH in 2008 as the first CASC Teaching Fellow and was promoted to Senior Teaching Fellow in 2014. She has a Bachelor’s degree in Statistics from the Athens University of Economics and Business and a Master's degree in Statistics from Lancaster University, and she's currently studying for a PhD at ICH. Eirini started teaching at ICH straight after her student days, putting into practice and further developing her passion for statistics teaching. She's played an instrumental role in the formation of CASC and hopes to see it develop further.


Student review

“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: 18 Sep 2018, 12:10

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