Executive Development Programme in Mastering Mixed Methods Research: A Comprehensive Guide

This course is designed for mid-to-senior level executives and researchers seeking to enhance their ability to integrate qualitative and quantitative research methods. Participants will gain a robust understanding of mixed methods research principles, learn to design effective mixed methods studies, and master the analysis and interpretation of data from diverse sources.

Upon completion, attendees will be equipped to lead or support complex research projects that require a blend of methodologies, ensuring more comprehensive and reliable insights for strategic decision-making.

1. 1. Introduction to Mixed Methods Research: Learners will understand the basic principles of mixed methods research, including its definition, advantages, and challenges. They will gain skills in formulating research questions that can be addressed using mixed methods approaches.
2. 2. Foundational Qualitative Research Methods: This module will cover essential qualitative research techniques such as interviews, focus groups, and ethnography. Learners will learn how to design and implement qualitative studies effectively.
3. 3. Foundational Quantitative Research Methods: Learners will be introduced to fundamental quantitative research methods, including surveys, experiments, and statistical analysis. They will gain hands-on experience with data collection and analysis tools.
4. 4. Integrating Qualitative and Quantitative Data: This module focuses on strategies for combining qualitative and quantitative data in a single study. Learners will develop skills in aligning methods, analyzing data, and interpreting mixed-methods results.
5. 5. Advanced Qualitative Data Analysis: Building on foundational skills, learners will explore advanced qualitative data analysis techniques, including thematic analysis, grounded theory, and narrative analysis. They will learn how to use software tools to manage and analyze qualitative data.
6. 6. Advanced Quantitative Data Analysis: This module covers more complex quantitative statistical methods, such as regression analysis, structural equation modeling, and mixed-effects models. Learners will learn how to apply these methods to real-world research questions.
7. 7. Mixed Methods Research Design: Learners will delve into the design of mixed methods research projects, including the selection of appropriate methods, sampling strategies, and data collection procedures. They will practice designing comprehensive mixed methods research proposals.
8. 8. Ethical Considerations in Mixed Methods Research: This module will discuss ethical issues specific to mixed methods research, including informed consent, confidentiality, and cultural sensitivity. Learners will learn how to navigate ethical challenges in their research.
9. 9. Reporting Mixed Methods Research: Learners will learn how to effectively report mixed methods research findings, including writing research papers, creating presentations, and disseminating research results. They will practice presenting their research in various formats.
10. 10. Applying Mixed Methods in Practice: In this final module, learners will apply their knowledge and skills to develop a mixed methods research project from start to finish. They will receive feedback on their projects and learn how to refine their research designs and methodologies.