Comparative Case Analysis in Evaluation Training Course

Comparative Case Analysis in Evaluation Training Course

Introduction

In today’s data-driven decision-making landscape, Comparative Case Analysis (CCA) has emerged as a powerful methodology for evaluating programs, policies, and organizational performance. Comparative Case Analysis in Evaluation Training Course equips professionals with advanced skills to systematically compare multiple case studies, identify patterns, uncover causal mechanisms, and generate actionable insights. By combining qualitative and quantitative evaluation techniques, participants will learn to enhance program effectiveness, impact assessment, and evidence-based decision-making.

This course emphasizes practical application, enabling learners to design, implement, and interpret comparative case studies across diverse sectors. Participants will gain expertise in cross-case synthesis, pattern matching, process tracing, and triangulation to strengthen evaluation credibility. With a focus on real-world examples, case studies, and interactive exercises, this training fosters critical thinking and equips evaluators, researchers, and managers with tools to optimize organizational learning and policy impact.

Course Duration

5 days

Course Objectives

By the end of this course, participants will be able to:

1. Master Comparative Case Analysis methodologies for robust evaluation.
2. Apply cross-case synthesis techniques to identify patterns and trends.
3. Utilize process tracing for understanding causal mechanisms.
4. Integrate qualitative and quantitative data in evaluations.
5. Conduct pattern matching for credible analytical insights.
6. Develop evidence-based recommendations for program improvement.
7. Enhance decision-making through case comparison.
8. Build skills in triangulation for validation and reliability.
9. Design structured case study protocols for consistent evaluation.
10. Interpret and visualize evaluation findings effectively.
11. Apply theory-driven evaluation approaches in comparative contexts.
12. Leverage software tools and data management techniques for CCA.
13. Strengthen impact assessment and reporting skills using comparative analysis.

Target Audience

• Monitoring & Evaluation Officers
• Program and Project Managers
• Policy Analysts
• Research Consultants
• Data Analysts & Data Scientists
• Organizational Development Practitioners
• Academic Researchers in Social Sciences & Public Policy
• NGO and Development Sector Professionals

Course Modules

Module 1: Introduction to Comparative Case Analysis

• Overview of CCA in evaluation and research
• Importance of case-based evaluation in policy and programs
• Key concepts: case selection, context, and variables
• Introduction to qualitative and quantitative approaches
• Case Study: Comparative evaluation of health interventions in Kenya

Module 2: Case Selection and Sampling

• Criteria for selecting cases for comparison
• Sampling strategies in CCA
• Managing representativeness and bias
• Ethical considerations in case research
• Case Study: Selection of education programs across multiple counties

Module 3: Data Collection Techniques

• Designing structured case study protocols
• Qualitative interviews, focus groups, and document review
• Integrating quantitative data for robust analysis
• Ensuring data reliability and validity
• Case Study: Data collection for NGO program evaluation

Module 4: Pattern Matching and Cross-Case Analysis

• Techniques for identifying patterns across cases
• Analytical frameworks for cross-case synthesis
• Visualizing and coding data for comparison
• Detecting causal mechanisms and correlations
• Case Study: Cross-case analysis of community water projects

Module 5: Process Tracing in Evaluation

• Introduction to process tracing methods
• Mapping causal pathways and mechanisms
• Evaluating sequences of events and outcomes
• Combining process tracing with other analytical tools
• Case Study: Tracing impact of microfinance initiatives

Module 6: Triangulation and Validation

• Combining multiple data sources for credibility
• Validating findings through triangulation
• Addressing inconsistencies and anomalies in data
• Reporting validated insights
• Case Study: Triangulation in urban development program evaluation

Module 7: Reporting and Visualizing Findings

• Designing clear, actionable evaluation reports
• Visual storytelling for complex case comparisons
• Using dashboards and infographics for insights
• Communicating findings to stakeholders effectively
• Case Study: Visualizing outcomes of health and education programs

Module 8: Advanced Applications and Theory-Driven Evaluation

• Linking comparative analysis to policy theory
• Using CCA to inform organizational learning
• Predictive and strategic applications of case comparisons
• Future trends in evaluation and comparative methodologies
• Case Study: Theory-driven evaluation of agricultural innovations

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

• Interactive lectures and presentations.
• Group discussions and brainstorming sessions.
• Hands-on exercises using real-world datasets.
• Role-playing and scenario-based simulations.
• Analysis of case studies to bridge theory and practice.
• Peer-to-peer learning and networking.
• Expert-led Q&A sessions.
• Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104 

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

 We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.