ANOVA/GLMs with SPSS
This course will introduce delegates to the basic principles of ANOVA, and how to choose, run, interpret, and report a variety of ANOVA models. The course takes a hands-on approach to learning, with SPSS software used for demonstration and practice throughout.
NOTE: This course will be delivered in hybrid mode, i.e. the in-person lecture will be transmitted live on zoom. The face-to-face part of the hybrid courses will go ahead conditional on at least 5 participants registering for this mode of delivery. Few classes may be delivered exclusively online, so please check under the Future dates tab for clarification. The online part of the class will be supported by its own dedicated teaching staff (along with the lead lecturer), therefore participants can expect the same level of group and individual support as the face-to-face class. You will be able to choose your preferred mode of attendance (face-to-face or online) during registration.
Details
Analysis of Variance (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. The underlying principles of ANOVA are introduced and the extensions and applications of this type of statistical analysis are discussed.
This is a practical course that takes a hands-on look at the types of ANOVA models available in SPSS within the General Linear Model (GLM) function. 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 and example datasets are provided for all delegates to perform analyses on. Basic knowledge of SPSS and introductory statistics (e.g., p-values, confidence intervals) is desirable.
Everyone wishing to attend should ensure SPSS is installed and licensed on their 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.
Fees
Course fees
| External Delegates (Non UCL) | £200.00 |
| UCL Staff and Students | £100.00 * |
| UCL Alumni | £100.00 |
| Staff and Doctoral Students from ICH/GOSH | FREE † |
* Valid UCL email address and/or UCL alumni number required upon registration. Please note, this category does not include hospital staff unless you hold an official contract with the university.
† Limited free spaces available. If there are no free places remaining, Staff and Doctoral Students from ICH/GOSH can still register at the UCL rate.
Cancellations
Please note that no refunds will be given for cancellations made within five working days of the course start date or for non-attendance. For delegates attending courses on funded places, a £50 fee will be charged for late cancellation, non-attendance or partial-attendance.
Future Dates
| Date | Time | Apply |
| TBC 2025 | 9.30am - 17.00pm | Subscribe to our Mailing List |
^We recommend logging in 10 minutes prior to the scheduled start time to access materials and ensure the course can start promptly at 9.30am.
Feedback
"[The teacher] is an excellent instructor. She is knowledgeable, receptive and approachable. The notes are excellent for future reference”
"I really enjoyed this course.”
"The lecturer is brilliant. She makes easier to understand something really complicated to me”
“Great course! Really useful and the folder and notes were excellent.”
“Excellent presentation by the course leader”
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Bespoke courses
If you are part of a team/organisation that would like statistics training, we can arrange extra dates for our existing courses or prepare something more bespoke.
Come to 6 day-courses, get a 7th free!
Once you have attended 6 short-courses, you're ready to claim your 7th day-course for free (please email us to make this arrangement). Our longer introduction course counts as three towards this total.
Contact
Please see our FAQ page before making an enquiry.
Email:
Recommended for general queries/payments:
ich.statscou@ucl.ac.uk
Phone:
For general queries/payments:
+44 (0) 20 7905 2768
To contact a teaching fellow about the contents of a course:
+44 (0) 7730405980
Address:
Centre for Applied Statistics Courses (CASC)
UCL Great Ormond Street Institute of Child Health
30 Guilford Street
London, WC1N 1EH
Other useful links
- GOS ICH Statistical Support Service
- On-demand UCL Extend self-paced courses
- Royal Statistical Society
- Instats
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Further information
Ticketing
Open
Cost
£200.00
Open to
All
Availability
Yes