Page 19 - Doctoral Academy Level 1 Programme-2023

TOPIC 16

Introduction to mixed methods data analysis and presentation

Purpose: The purpose of this presentation is to provide postgraduate students and early career
researchers with an introduction to mixed methods data analysis and presentation. By the end of the

presentation, participants should have a clear understanding of the benefits of using mixed methods
research, how to integrate quantitative and qualitative data, and how to effectively analyze and present
mixed methods data.

Learning Outcomes: By the end of this presentation, participants should be able to:

1. Describe the different types of mixed methods research designs, including sequential
explanatory, sequential exploratory, and concurrent triangulation.
2. Demonstrate an understanding of the process of integrating quantitative and qualitative data in

mixed methods research, including data transformation and merging.
3. Explain the different methods for analyzing mixed methods data, including matrix analysis,

joint displays, and qualitative comparative analysis.
4. Demonstrate an understanding of the different methods for presenting mixed methods data,
including tables, graphs, and charts, as well as narratives and qualitative descriptions.

5. Demonstrate an understanding of the importance of clear and concise data presentation, and the
role of visual aids in effectively communicating research findings.
6. Discuss the ethical considerations in mixed methods research, including protecting participant

privacy and confidentiality.
7. Apply appropriate mixed methods data analysis and presentation methods to their research, and
critically reflect on the implications of these methods for research design and interpretation.

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