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

Statistics for comparisons using R (QCIF) [webinar]

6 July 2021 9:00am5:00pm
This practical hands-on workshop will help participants to choose and use the appropriate statistical test for their data by introducing key concepts of inferential statistics in R. Prior knowledge of R is required. REGISTRATION IS REQUIRED AND OPENS 6 JUNE AT 12PM.

Statistics for comparisons using SPSS (QCIF) [webinar]

23 July 2021 10:00am5:00pm
This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in SPSS. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. Prior knowledge of SPSS is required. REGISTRATIONS IS REQUIRED AND WILL OPEN ON 23 JUNE AT NOON.

Basic statistical ideas for researchers [webinar]

10 June 2021 10:00am12:00pm
Learn ideas relating to research design, descriptive statistics and inferential statistics.

Introduction to longitudinal data analysis (ISSR) [webinar]

11 May 2021 9:00am12:00pm
Learn about longitudinal data analysis. REGISTRATION IS REQUIRED AND WILL OPEN ON 11 MARCH AT 12PM.

Introduction to Regression modelling (ISSR) [webinar]

22 April 2021 9:00am12:00pm
Learn about simple and multiple regression models. REGISTRATION IS REQUIRED AND WILL OPEN ON 22 FEB AT 12PM.

[NEW!] Statistics for comparisons using SPSS (QCIF) [webinar]

9 April 2021 9:00am5:00pm
Participants will learn how to compute, report, and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. Knowledge of SPSS is required. REGISTRATION IS REQUIRED AND WILL OPEN ON 9 MARCH AT NOON.

Introduction to multilevel modelling (ISSR) - Long Pocket

4 December 2019 9:00am5:00pm
Learn about multilevel modelling.