XClose

Short courses

Home
Menu

SPSS: an Introduction (Evening Course)

  • 5pm to 8:15pm
  • 2 evenings

Overview

This evening 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.

This course runs over two consecutive evenings, from 5pm to 8:15pm.

A one-day version of this course is also available.

Due to the coronavirus outbreak, this course will be run online through a live video feed.

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

Course content

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.

Learning outcomes

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

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)

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

Cancellations

Read the cancellation policy for this course on the ICH website. Please send all cancellation requests to ich.statscou@ucl.ac.uk

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.)

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.

Dr Dean Langan - Course Lead

Dr Dean Langan - Course Lead

Dean is a Senior Teaching Fellow in CASC. He has a Bachelor’s degree in Mathematics from University of Liverpool, a Master's degree in Medical Statistics from University of Leicester, and a PhD from University of York for his research in statistical methods for random-effects meta-analysis. He's worked as a statistician on a number of clinical trials related to stroke and myeloma at the Clinical Trials Research Unit in Leeds. His specialist areas include statistical methods for meta-analysis, R programming, clinical trial methodology and research design.

Learner reviews

"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."

Course information last modified: 10 Sep 2020, 16:48