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SPSS (produced by IBM) is a statistical package designed to present and analyse quantitative data. Due to COVID-19, all classroom workshops are suspended until further notice but you can still find plenty of SPSS resources from the drop-downs below
For staff and postgraduate students who have little or no experience of SPSS.
Covers: conceptual overview, hands-on experience of creating a data file from your data, setting up variables, generating new variables, producing tables and charts (descriptive statistics).
For staff and postgraduate students who are new to SPSS.
For staff and postgraduate students who have experience of basic SPSS features.
We will look at powerful descriptive statistics features in SPSS to create tables and charts customised to your requirements to explore your research data and also to convey your message to your audience. We will look at how you can analyse data in different ways to reveal patterns that can help answer your research questions, including correlation and tests of nominal variable association.
We cover concepts that are essential to understand when doing any statistical analysis required for your research report or dissertation. By the end of the session you should have an understanding of these concepts and why they are so key to the statistical analysis of your research project. Using hands-on sample case studies, we will answer such questions as: What is the null hypothesis? What is statistical significance? What are confidence intervals? What is a Normal Distribution and why is it so important to know about it? Why do statistical tests require that certain assumptions be met, and what are they? Should I use a parametric or non-parametric test? How can I apply these and other key concepts in my own research and demonstrate to my examiners or assessors that I understand how to do appropriate statistical analysis?
For staff and postgraduate students who have experience of basic SPSS features
We will look at how to set up your SPSS data file to hold your survey data in the light of survey design guidelines, including question types, preference (or Likert) scales, multiple response questions, scale and reliability testing, chi-square tests for nominal data.
SPSS Workshops are scheduled 4-8 weeks in advance. If none of the workshop dates suits you, click
here to go on a mailing list to receive updates on upcoming workshops.
Students and staff are encouraged to attend workshops, but if you are unable to find a workshop date that suits you, you can follow self-paced course notes which guide you in the use of SPSS in a step-by-step manner. These self-paced course notes and accompanying files are available to download from within Moodle. Click here to access SPSS course notes in Moodle (you will need to log in). Alternatively, log into Moodle and search for a course 'SPSS'. There will be only one course returned. You need to click the Self-Enrol button to get access to the course material. You can then download a zipped copy of SPSS Parts 1,2,3,4 self-paced course documents together with their accompanying sample data files and other files. Step-by-step instructions are in the PDF file located in the parent folder of Part 1, Part 2, Part 3 and Part 4. You can follow the course in your own time and at your own pace.
Videos on SPSS selected by Alex Friend.
This video selection covers a variety of topics on SPSS and is not meant to be exhaustive. The videos are selected for their ability to explain the topic in question and where sound and visual quality are generally good.