Introduction to SPSS (standalone online learning course)
Team Researcher Academy
This online course is delivered by the Researcher Academy
The Researcher Academy courses are very popular and the majority are run in both semesters to give you the opportunity to attend at a time of the year that suits you. Semester 1 courses will be available for booking from the second week of October and Semester 2 courses from the second week of February.
Target audience: Early stage postgraduate research students (especially off-campus) and early career researchers.
This course is designed for researchers who would like to learn the basic skills necessary to analyse data using the statistical analysis software package SPSS.
Introduction to SPSS is an online course designed to teach you the basics of IBM® SPSS® Statistics. It consists of a series of tutorials covering subjects including coding variables, performing data transformations and generating descriptive statistics and graphs. Later tutorials explain how to perform specific statistical tests.
The course does not cover the analysis of individual's experimental data or discussion of their experimental design.
This course aims to introduce researchers to the use of SPSS in quantitative data analysis
By the end of this course you will have:
- Become familiar with the layout and functions of SPSS - Learnt how to perform basic tasks such as entering data and coding variables as well as generating graphs and descriptive statistics - Practised these tasks using a test dataset - Learnt how to perform some statistical tests
This is a standalone (self-study) online course. This course is delivered entirely online via Moodle and is self-study. You may access the course as often as you like until the end of the academic year. If you would like to gain Researcher Academy training point/s for this course you must complete the short assessment tasks associated with it. Completion of the assessment is optional for students based at our UK and Malaysia Campus'. Students based at our Ningbo China Campus are not required to complete the assessment.
Researchers across all 3 campuses can self-enrol on this course in Moodle by following this link:
Our webinars/ online courses are very popular, especially in the current period and we are experiencing large volumes of people on our waiting lists.
Please do let us know if you would like to cancel your place on this course so we can offer your place to another delegate.
Please note, attendances for webinars/ online courses will still be recorded and corresponding training points, when shown as available, will be awarded.
To study this course you must have access to the internet. You should have attended an introductory course on quantitative research methods, such as 'Introduction to quantitative research', or have equivalent experience.