Advanced regression analysis using SPSS

Facilitator: This workshop will be presented by Prof Gary Sharp, an academic in the Department of Statistics at Nelson Mandela University. Prof Sharp has many years of lecturing experience and has presented similar workshops over the years internally and externally.

 

Target Group: Masters and Doctoral Candidates

 

Background: This course will suit candidates who have collected quantitative data for their research project and need guidance on how to analyse the data in a regression framework.

 

Workshop Outcomes:

  • Expand on the basic regression model’s candidates are usually exposed to at an introductory level.
  • The emphasis of the workshop will be on running an analysis, learning to interpret the outputs, testing assumptions of the models, all using the university licensed software, SPSS.

Requirements: Candidates who attend this workshop should be familiar with at least one standard statistical software package, i.e. SPSS, SAS, R or STATISTICA. In addition, it is strongly advised that candidates are familiar with simple linear regression and have been exposed to interpretations of correlation coefficients and confidence intervals.

 

If you would like to attend this workshop, please complete the following form and submit, after which you will receive an email indicating receipt of the form.

Kindly note that submitting a registration form is not confirmation that you have been included as a participant for this workshop.

The status of your registration will be communicated via email after registration has closed.

 

 

 

 

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I commit to full attendance of this workshop on the specified date and if unable to attend, I will notify Jadine Januarie at The Office of Research Development.

 

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This workshop is funded by the Department of Higher Education and Training (DHET) through the University Capacity Development Grant (UCDG)

 

Workshop Information

Date:

  • 21-22 July 2025

Time:

  • 08h30-16h00

Venue:

  • To be confirmed (in-person only, no online attendance)

Registration:

  • Registration for this workshop is open.


Please note: The maximum capacity of this workshop is 20 participants.

 

Enquiries: