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This course will introduce you to the uses and functions of the statistical software SPSS. It covers data entry and editing, and the basics of analyses and graphs.
It's suitable for those with little or no experience of SPSS, or those who want a refresher. A basic knowledge of statistics will be helpful.
You can take this course either online or face to face. You can also take this course over two evenings.
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).
This is a practical course that will introduce you to SPSS and its uses for statistical analysis through hands-on experience.
You'll look at the following topics:
- Getting started with SPSS files
- Data entry: manually and from excel
- Editing and organising datasets
- SPSS options and functions
- Descriptive statistics
- Graphical displays
- Parametric significance tests
- Nonparametric significance tests
You'll be expected to have a basic understanding of common statistical tests and concepts as these won't be taught during this workshop.
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:
- read-in, enter, organise, and save data in a suitable way
- calculate/recode variables and prepare data for analysis
- conduct descriptive and basic inferential statistics
- be familiar with SPSS presentation of statistical output
- create and edit graphical displays of data
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)
Cost and concessions
The fees are as follows:
- External delegates (non UCL) - £200
- UCL staff, students, alumni (including ICH/GOSH) - £100*
* valid UCL email address and/or UCL alumni number required upon registration
Read the cancellation policy for this course on the ICH website. Please send all cancellation requests to to firstname.lastname@example.org
Find out about other CASC 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 Chibueze Ogbonnaya
Since joining the teaching team at CASC in February 2019, Chibueze has contributed to the teaching and development of short courses. He currently leads and co-leads short courses on MATLAB, missing data, regression analysis and survival analysis. Chibueze has a BSc in Statistics from the University of Nigeria, where he briefly worked as a teaching assistant after graduation. He then moved to the University of Nottingham for his MSc and PhD in Statistics. His research interests include functional data analysis, applied machine learning and distribution theory.
"Very useful and concise intro to SPSS, with excellent notes provided - thanks very much!"
"The course was excellent, very practical and useful. Thank you!"
"Excellent course - covered a lot in a short time and the hand-outs will be very good for later use."
"The course itself was well presented and covered all the basic functionality of SPSS very well. Thanks!"
"I found the course very useful and pitched at the right level and pace for me."
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Course information last modified: 3 Jan 2023, 13:23