SPSS serves as a valuable tool for understanding statistical significance by providing the means to analyse, interpret, and visualise data effectively, thereby aiding researchers and analysts in making informed decisions based on empirical evidence.

This SPSS training series provides an introductory journey into visualising statistics and findings from quantitative research. Designed to build upon your existing knowledge, these sessions serve as a stepping stone toward enhancing your research skills. By covering essential topics such as understanding associations, correlations, descriptive and inferential statistics, participants gain valuable insights into employing SPSS for their research analysis. Equipped with these foundational skills, attendees are better prepared to explore more advanced research methodologies and analyses. Additionally, the series fosters a supportive community tailored to meet the diverse needs and interests of its members, creating a collaborative environment conducive to growth and learning.

This session will be an ‘open’ but facilitated opportunity to bring along your own data (or randomly generated data that matches your own research design), so that you can begin to become familiar with and more confident using SPSS on your own terms. If you do not have your own data we will partner you up with students who do have data, so you can also get a flavour of collaborative working.

This session is the third of 3 sessions in the series of "A Beginner’s Guide to SPSS for Quantitative Research". (The other two sessions are on Friday 19th & 26th April, 10-12, booking is open)

Time: Friday 3rd May 2024, 10-12

Venue: In person on City South Campus -- Room SCT233, Seacole building.

Speaker: Dr. Philip Dee, Academic Development Department (ADD), Faculty of HELS

Dr. Philip Dee has worked at BCU for 20 years and in that time has evolved his support role to include research and statistics. He has a PhD in Nuclear Physics and during his time at BCU has ‘translated’ his research knowledge in order to offer support in the faculty of HELS to research-active staff and students and is currently an active supervisor up to PhD level. To consolidate his research skills, Philip has recently completed a degree with the Open University in ‘Mathematics and Statistics’ and is a member of the Royal Statistics Society (RSS). He maintains a YouTube channel which supports many aspects of academic support, numeracy and statistics.