Course Description
The purpose of this interactive five-day course is two-fold. The first purpose is to provide a step-by-step guide for conceptualising, planning, and implementing mixed methods research studies.
This interactive session, for graduate students and emergent researchers, will provide frameworks and heuristics for selecting and applying research techniques and validating, interpreting, and reporting results of mixed methods research studies.
Course Outcomes:
After completion of the course, the participants will be able to:
- Define mixed methods research
- Describe the 13 major steps in the mixed research process, which comprises of (i. determine the goal of the study ii. conceptualise the research objective(s) iii. determine the research/mixing rationale(s) iv. determine the research/mixing purpose(s) v. determine the research question(s) vi. select the sampling design vii. select the mixed methods research design viii. collect the data ix. analyse the data x. validate/legitimate the data and data interpretations xi. interpret the data xii. write the final report xiii. reformulate the research question(s))
- Define and explain quantitative data analysis
- Choose knowledgeably from a variety of quantitative data analysis techniques
- Define and explain qualitative data analysis
- Choose knowledgeably from a variety of qualitative data analysis techniques
- Describe the definition and purpose of the mixed data analyses
- Explain the difference between mixed data analyses and quantitative data analyses
- Compare/contrast the role of quantitative and qualitative research in mixed data analyses
- Explain how mixed data analyses can enhance representation
- Explain how mixed data analyses can enhance legitimation/validity
- Explain several mixed data-analytic designs
- Describe the 13 criteria that are used to make decisions during the mixed data analysis process
- Link research questions to mixed data analysis techniques
- Choose knowledgeably from a variety of mixed data analysis techniques
- Understand the role of computer-assisted data analysis software programs when conducting mixed data analyses
- Understand the standards and guidelines for conducting and publishing mixed methods research
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, researchers, and academics, particularly those undertaking interdisciplinary or applied research, who wish to develop a foundational understanding of mixed methods research and the integration of qualitative and quantitative approaches within a single study.
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
Laptop, stable internet connection and notepads. Course material will be provided electronically.
Delegate Requirements
Participants should be planning to or already conducting research that combines qualitative and quantitative research approaches to address complex research questions.
Workshop Format
The workshop will involve active participation through discussions and practical exercises designed to strengthen participants’ understanding of how qualitative and quantitative approaches can be integrated within a single study.
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.