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Basic Inferential Statistics using SPSS In-Person

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.

The key features of this workshop includes carrying out and interpreting common inferential statistical tests. We will look at using the t-test and some non-parametric tests such as the Chi-Square, the Mann-Whitney and the Wilcoxon tests.

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

Time: Friday 26th April 2024, 10-12

Venue: In person on City South Campus -- Room SCT012, Seacole building ground floor.

 

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.

Date:
Fri Apr 26th 2024
Time:
10:00 - 12:00
Time Zone:
UK, Ireland, Lisbon Time (change)
Location:
Seacole / Calthorpe (see details for room number)
Campus:
City South Campus
Categories:
  Research  

Registration is required. There are 16 seats available.

Event Organizer

Guojin Liu