Course Description
We will learn about quantitative approaches, how to choose an appropriate study design and an adequate sample size. We will learn of the related data analysis from basic statistics to regression and beyond to ensuring the appropriate analysis, presentation and write up of quantitative results. You will be provided with a series of tools and checklists. There will also be an opportunity to expand your knowledge and learn of novel quantitative approaches.
Course Outcomes:
At the end of the course, participants will be able to:
- Describe the philosophical underpinnings of quantitative research
- Defend their choice of study design and sample size
- Conduct a power analysis and decide how many samples/cases/participants are required within a study
- Write an appropriate data analysis plan including a statistical plan for their study design
- Using SPSS, analyse a data set using key descriptive and inferential statistics including Chi squared tests, t-tests, analysis of variance and regression
- Write a report on their study in line with the Consort or Strobe guidelines
- Summarise and critically analyse related studies
5-day course
Standard Rate R8450
Application Deadline: 3 June 2026
Payment Deadline: 10 June 2026
Late Joiner Rate R9200
Application Deadline: 15 June 2026
Payment Deadline: 21 June 2026
Target Audience
The course is designed for postgraduate students, particularly doctoral students and those intending to do a doctorate who wish to learn basic data analysis techniques and use SPSS to analyse their data.
Course Materials
All course materials will be uploaded onto the MS Teams online platform. Worksheets, exercises/tasks and class notes will be provided on this platform and/or distributed during the classes.
What to Bring
Your laptop, power cord, adaptors and extensions, up to date SPSS software and any data sets you intend to analyse.
Delegate Requirements
Participants should have an interest in, and a basic knowledge of quantitative research. This course will be most beneficial to those who have a specific research project planned in prevention or intervention within a real world, natural science, engineering, community, education, social or healthcare setting.
Workshop Format
The course will be interdisciplinary and will focus on both theory and practical SPSS analysis and workshops where students can perform their own data analysis with hands on input from the facilitator. The workshop will be interactive in nature. Participants will be expected to participate actively in the learning process. This requires that participants engage in learning activities during and outside working hours. It would be important to bring some of your study data if it is available.
The ADA reserves the right to cancel any course should the minimum required number of participants not be reached. In such cases, all fees already paid will be fully refunded, or where possible, delegates will be offered the option to transfer to an alternative course.
Cancellations and Refunds
The final date to withdraw from the ADA Winter School is 29 May 2026. Participants who withdraw on or before this date will be eligible for a 50% refund. After 29 May 2026, no refunds will be issued, unless a replacement participant can be found to take their place.
The ADA also reserves the right to cancel a course where necessary.