Design rigorous quantitative studies, from protocol to critical appraisal.
Quantitative research is the backbone of evidence generation across virtually every field of professional and academic inquiry, including health and epidemiology, economics, education and the social sciences. It provides the structured, systematic basis on which decisions are made, interventions are evaluated, and knowledge is advanced.
Dates to be announced
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This course provides a rigorous grounding in quantitative research methodology from inception to completion, covering the design of studies, the operationalisation of research questions, the collection and management of data, and the analysis and reporting of findings. Participants will also develop the critical appraisal skills needed to engage meaningfully with published research and apply evidence appropriately in their own professional and academic contexts.
The course draws on examples and exercises from multiple disciplines, making it equally relevant to researchers from diverse fields. No prior statistical training is required, though participants should have a general familiarity with research in their field.
After completing this course, participants will leave with a clear understanding of what makes quantitative research valid and defensible, as well as the practical skills to identify and address methodological threats that undermine research credibility. Participants will be able to independently design and conduct rigorous quantitative studies, making sound methodological decisions at every stage, from research question formulation and study design through to sampling, data collection, analysis and reporting. They will also develop practical skills in using artificial intelligence tools to support key stages of the research process.
“I have always wanted to become an excellent migration policy analyst, and I knew understanding data was the missing piece. This course helped me connect data analysis with policy and governance. I can now independently explore findings, identify patterns and contribute more meaningfully to evidence-based migration policy discussions.”
“Having worked in data management for about 10 years, I discovered that there were things I had been doing without fully understanding why. This course gave me a clearer understanding of inferential statistics. I also learned valuable teaching techniques, particularly the importance of engaging students and respecting their time.”
“Before this course, I knew what data was but didn’t understand data analysis or how relevant it was to my work. I now see how it can help me organise information, interpret findings, track the impact of my interventions, improve my programmes and make better decisions in mental health and adolescent counselling.”
“I particularly appreciate the teaching method and the respect shown to every participant. I know I still have more to learn, but I now have the confidence and foundation to keep practising.”
Quantitative Research Methodology Course. Fields marked * are required.
Dates have not been set yet. Register your interest and we'll contact you as soon as a cohort is planned.
We'll contact you by email, phone or WhatsApp with the dates, delivery format and fee. Registering your interest doesn't commit you to anything.
Yes. Contact CESAR to discuss your objectives, preferred delivery format and training needs, and we'll tailor the course to your team.
Register your interest and hear first when the next cohort opens.
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