Graduate School Career Development Framework

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

Basic statistical ideas for researchers [webinar]

11 November 2022 10:00am–12:00pm
 
in Statistics and modelling
Learn ideas relating to research design, descriptive statistics and inferential statistics.

Statistics for comparisons using R (CDF) [webinar]

3 November 2022 9:00am–5:00pm
 
in Statistics and modelling
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 CLOSES NOON 1 NOVEMBER.

NEW! Analysing categorical outcomes and logistic regression with R [webinar]

1 November 2022 9:00am–12:30pm
 
in Statistics and modelling
The course will cover the principles of logistic regression and includes practical sessions getting hands-on experience of logistic regression in R. You will require prior expertise in R and a basic familiarity with statistical hypothesis testing and regression analysis to attend. REGISTRATION CLOSES NOON 28 OCTOBER

Exploring and predicting using linear regression in SPSS (QCIF) [webinar]

21 October 2022 9:00am–5:00pm
 
in Statistics and modelling
This hands-on SPSS workshop introduces principles and methods of regression models using SPSS, and how to interpret relationships between variables. It covers basic principles of regression methods through to interpreting the output of statistical analyses. Prior expertise with SPSS is required. Participants are also expected to have a basic familiarity with the concepts of descriptive statistics and elementary statistical hypothesis testing. REGISTRATION IS REQUIRED AND WILL OPEN ON 20 AUG AT NOON.

Longitudinal and mixed model analysis using R [webinar]

6 October 2022 9:00am–5:00pm
 
in Statistics and modelling
This interactive online workshop deals with longitudinal data and its analysis. Participants MUST know R and be familiar with the concepts of statistical hypothesis testing and regression analysis. REGISTRATION IS REQUIRED WILL OPEN ON 6 Augustat NOON.

Exploring and predicting using linear regression in R (QCIF) [webinar]

4 October 2022 9:00am–5:00pm
 
in Statistics and modelling
This highly interactive online workshop will provide attendees with a friendly, gentle introduction to the theory behind linear regressions in R. Prior experience with R and the RStudio interface is required, as well as familiarity with the concepts of descriptive statistics and elementary statistical hypothesis testing. REGISTRATION IS REQUIRED AND OPENS 4 AUG AT NOON.

Statistics for comparisons using SPSS (QCIF) [webinar]

12 September 2022 9:00am–5:00pm
 
in Statistics and modelling
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 12 JULY AT NOON.

Introduction to Regression modelling (ISSR) [webinar]

2 June 2022 9:00am–12:00pm
 
in Statistics and modelling
Learn about simple and multiple regression models. REGISTRATION IS REQUIRED AND WILL OPEN ON 2 APR AT 12PM.

Introduction to longitudinal data analysis (ISSR) [webinar]

27 April 2022 9:00am–12:00pm
 
in Statistics and modelling
Learn about longitudinal data analysis. REGISTRATION IS REQUIRED AND WILL OPEN ON 27 FEB AT 12PM.

Statistics for comparisons using R (QCIF) [webinar]

12 April 2022 9:00am–5:00pm
 
in Statistics and modelling
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 12 MARCH AT 12PM.

Longitudinal and mixed model analysis in R (QCIF) [webinar]

6 April 2022 9:00am–5:00pm
 
in Statistics and modelling
This interactive online workshop deals with longitudinal data and its analysis. Participants MUST know R and be familiar with the concepts of statistical hypothesis testing and regression analysis. REGISTRATION IS REQUIRED WILL OPEN ON 6 MARCH at NOON.

Statistics for comparisons using SPSS (QCIF) [webinar]

9 March 2022 9:00am–5:00pm
 
in Statistics and modelling
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.