This is a QCIF course and places are highly limited as Graduate School is paying the fee. If you are unable to attend, please de-register (or email if you are unable to do so). An unexplained absence could result in all your future QCIF registrations becoming Waitlisted.

Recommended Participants

Researchers wanting to understand how to choose the right statistical test for the context/condition and how to conduct the analysis by themselves using SPSS. The workshop is relevant for all disciplines, although examples and exercises will be based around clinical datasets. Prior knowledge of SPSS is required (Introduction to SPSS workshop is highly recommended) as the basics of SPSS will not be covered.

Attendees must provide their own SPSS licence (most QCIF member universities have institution-wide licences available for staff and students).

Learning Objectives

  • Choose the right statistical test appropriate for the data and the research questions
  • Carry out inferential statistics in SPSS
  • Generate plots, figures and tables of hypothesis tests using the SPSS GUI
  • Interpret and report the results of a range of commonly-used statistical tests


  • An introduction to hypothesis testing terminology
  • Correlation analysis between two continuous variables
  • Statistical tests for both categorial and continuous variables
  • ANOVA – testing with more than two groups

Pre-workshop preparation

Attendees must have SPSS licence installed on their laptops. Check out the ITS self-service to download SPSS.

About Statistics and modelling

If your research study employs quantitative or mixed methodologies, you would need to understand the nuts and bolts of statistics and modelling. The Graduate School works with different providers to provide a range of sessions covering descriptive and inferential statistics as well as modelling with esteemed providers such as ISSR and Student Services.

Useful links