Advanced Mixed Methods Research and Evaluation Design Course

Course Introduction

Mixed methods research has become one of the most powerful approaches for generating comprehensive evidence in development programs, public policy, social sciences, humanitarian interventions, health systems, education, governance, and organizational performance assessment. By integrating quantitative and qualitative research methodologies, mixed methods approaches enable evaluators and researchers to gain deeper insights into complex issues, validate findings through multiple sources of evidence, and produce more robust conclusions for decision-making. This course equips participants with advanced skills for designing, implementing, and managing mixed methods research and evaluation studies.

Organizations increasingly require evaluation evidence that goes beyond numerical indicators to explain why outcomes occur, how interventions influence change, and what contextual factors affect implementation success. Mixed methods research bridges this gap by combining statistical analysis with qualitative inquiry, creating richer and more meaningful evidence. Participants will learn how to integrate diverse forms of data and generate comprehensive findings that support policy development, program improvement, and organizational learning.

The course provides practical guidance on selecting appropriate mixed methods designs, developing integrated research frameworks, and combining quantitative and qualitative data collection techniques. Participants will explore sequential, concurrent, transformative, and embedded mixed methods designs while learning how to align methodological choices with evaluation objectives, stakeholder expectations, and organizational information needs. Emphasis is placed on ensuring methodological rigor, validity, and reliability throughout the research process.

Effective evaluation design requires careful planning, strong theoretical foundations, and systematic integration of evidence from multiple sources. Participants will learn how to formulate research questions, develop conceptual frameworks, select sampling strategies, and design data collection tools that support mixed methods investigations. The course examines best practices for integrating qualitative and quantitative findings throughout the evaluation cycle to improve credibility and utility.

Emerging technologies and digital research tools have transformed mixed methods evaluation practice by enabling faster data collection, advanced analytical capabilities, and improved stakeholder engagement. Participants will explore modern research technologies, digital data collection platforms, visualization tools, and software applications that enhance mixed methods studies. Practical examples from development, humanitarian, public sector, and private sector contexts will demonstrate how integrated approaches improve evaluation quality and effectiveness.

By the end of the course, participants will possess the knowledge and practical skills required to design, implement, manage, and communicate advanced mixed methods research and evaluation studies. They will be capable of integrating diverse evidence sources, conducting rigorous analyses, and generating actionable insights that support evidence-based decision-making, accountability, and organizational learning across various sectors and disciplines.

Duration

10 Days

Who Should Attend

• Monitoring and Evaluation Specialists
• Researchers and Research Managers
• Development Program Managers
• Evaluation Consultants
• Public Policy Analysts
• Government Planning Officers
• Donor Agency Staff
• Academic Researchers
• NGO and Civil Society Professionals
• Social Scientists
• Impact Assessment Specialists
• Results-Based Management Professionals

Course Objectives

• To develop participants' capacity to design and implement advanced mixed methods research and evaluation studies that generate comprehensive and actionable evidence.
• To strengthen understanding of philosophical foundations and methodological principles underlying mixed methods research and evaluation approaches.
• To equip participants with practical skills for integrating quantitative and qualitative methodologies throughout the research and evaluation lifecycle.
• To enhance competencies in selecting appropriate mixed methods designs that align with research objectives and evaluation questions effectively.
• To build capacity for developing integrated data collection instruments and sampling strategies for complex evaluation studies.
• To strengthen participants' ability to conduct rigorous quantitative and qualitative analyses and effectively integrate findings from both approaches.
• To improve understanding of validity, reliability, trustworthiness, and quality assurance mechanisms within mixed methods research frameworks.
• To develop skills for utilizing digital technologies and research software that support advanced mixed methods data management and analysis.
• To enhance participants' capacity to interpret complex findings and generate evidence-based recommendations for policy and program improvement.
• To strengthen abilities in communicating mixed methods findings to diverse stakeholders through effective reporting and visualization techniques.
• To equip participants with tools for managing ethical considerations and ensuring research integrity in mixed methods investigations.
• To prepare professionals to lead high-quality evaluations that support learning, accountability, adaptive management, and organizational decision-making.

Course Outline

Module 1: Foundations of Mixed Methods Research

• Understanding philosophical paradigms that underpin mixed methods research and evaluation approaches.
• Exploring the evolution and significance of mixed methods in contemporary evaluation practice.
• Comparing quantitative, qualitative, and integrated research methodologies across sectors.
• Examining practical applications of mixed methods research in development and policy environments.

Module 2: Mixed Methods Research Designs

• Understanding sequential explanatory and sequential exploratory mixed methods designs.
• Applying concurrent triangulation approaches for comprehensive evidence generation activities.
• Exploring embedded and transformative mixed methods frameworks for complex evaluations.
• Selecting appropriate mixed methods designs based on evaluation objectives and contexts.

Module 3: Research Questions and Conceptual Frameworks

• Developing integrated research questions suitable for mixed methods investigations.
• Constructing conceptual and analytical frameworks that support evidence integration.
• Aligning evaluation objectives with methodological choices and research priorities.
• Translating theories of change into mixed methods evaluation designs effectively.

Module 4: Sampling Strategies in Mixed Methods Studies

• Designing quantitative sampling frameworks for statistically valid evaluation findings.
• Applying purposive and theoretical sampling techniques for qualitative inquiry.
• Integrating quantitative and qualitative sampling approaches within research designs.
• Managing sampling challenges in complex mixed methods evaluation environments.

Module 5: Quantitative Data Collection Methods

• Designing surveys and structured questionnaires for evaluation and research purposes.
• Developing indicators and measurement tools that support reliable quantitative analysis.
• Applying digital technologies for large-scale quantitative data collection activities.
• Ensuring data quality and consistency throughout quantitative research processes.

Module 6: Qualitative Data Collection Techniques

• Conducting interviews, focus groups, and participatory inquiry processes effectively.
• Designing qualitative instruments that generate rich and meaningful evaluation evidence.
• Applying observation methods and case study approaches within evaluations.
• Managing qualitative fieldwork while maintaining ethical and methodological standards.

Module 7: Data Management and Quality Assurance

• Developing integrated systems for managing quantitative and qualitative datasets.
• Applying quality assurance procedures throughout mixed methods research projects.
• Ensuring consistency, reliability, and completeness of collected research information.
• Establishing documentation standards that support transparency and reproducibility.

Module 8: Quantitative Data Analysis Techniques

• Applying descriptive and inferential statistical methods within evaluation studies.
• Conducting regression analysis and hypothesis testing for performance assessment.
• Utilizing statistical software tools to analyze complex quantitative datasets effectively.
• Interpreting quantitative findings for evidence-based decision-making and reporting.

Module 9: Qualitative Data Analysis Methods

• Conducting thematic analysis and coding procedures for qualitative research evidence.
• Applying content analysis techniques to identify patterns and emerging insights.
• Utilizing qualitative software platforms to support systematic analytical processes.
• Interpreting qualitative findings within broader evaluation and learning frameworks.

Module 10: Data Integration and Triangulation

• Combining quantitative and qualitative evidence to strengthen evaluation conclusions.
• Applying triangulation methods that improve validity and credibility of findings.
• Managing integration challenges across diverse datasets and analytical approaches.
• Developing coherent narratives from multiple sources of research evidence.

Module 11: Validity, Reliability, and Trustworthiness

• Assessing validity and reliability considerations within quantitative evaluation studies.
• Strengthening credibility, transferability, and dependability in qualitative research.
• Applying mixed methods quality standards to ensure robust evaluation outcomes.
• Managing threats to methodological rigor throughout research implementation.

Module 12: Evaluation Design for Complex Programs

• Designing evaluations for multifaceted development and social change interventions.
• Applying mixed methods approaches to assess complex program implementation dynamics.
• Measuring outcomes, impacts, and contextual influences using integrated methodologies.
• Developing adaptive evaluation frameworks suitable for evolving program environments.

Module 13: Digital Tools and Emerging Technologies

• Utilizing digital platforms to support mixed methods data collection and management.
• Applying advanced software solutions for integrated quantitative and qualitative analysis.
• Leveraging artificial intelligence tools to enhance research efficiency and insights.
• Exploring innovative technologies transforming modern evaluation practice globally.

Module 14: Ethics in Mixed Methods Research

• Addressing ethical considerations across quantitative and qualitative research activities.
• Protecting participant rights, privacy, and confidentiality throughout evaluations.
• Managing informed consent processes in diverse research and evaluation contexts.
• Promoting integrity, transparency, and accountability in mixed methods investigations.

Module 15: Reporting and Knowledge Communication

• Developing integrated evaluation reports that effectively present mixed methods findings.
• Creating visualizations that communicate complex evidence to diverse stakeholders.
• Translating research findings into actionable recommendations and policy guidance.
• Enhancing stakeholder engagement through effective communication strategies and products.

Module 16: Emerging Trends and Advanced Applications

• Exploring innovative mixed methods approaches in contemporary evaluation practice.
• Understanding systems thinking and complexity-aware evaluation methodologies.
• Applying mixed methods research within adaptive management and learning systems.
• Assessing future directions and emerging opportunities in integrated evaluation design.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.