Experimental and Quasi-Experimental Designs Training Course

Course Overview

The Experimental and Quasi-Experimental Designs Training Course is a comprehensive professional development program designed to equip participants with advanced knowledge and practical competencies in designing, implementing, and utilizing rigorous evaluation methodologies for measuring the effectiveness and impact of development interventions. Governments, donor agencies, non-governmental organizations, humanitarian institutions, research organizations, healthcare systems, and private sector entities increasingly require high-quality evidence to demonstrate program results, improve accountability, optimize resource allocation, and support evidence-based policy and strategic decision-making. Experimental and quasi-experimental designs provide powerful methodologies for establishing causal relationships and determining whether observed outcomes can be attributed to specific interventions.

Experimental and quasi-experimental methods play a critical role in impact evaluation, results-based management, policy analysis, program performance assessment, and organizational learning. Experimental designs utilize random assignment to treatment and control groups to estimate intervention effects with a high degree of internal validity, while quasi-experimental approaches employ statistical and analytical techniques to estimate impacts where randomization is not feasible. These methodologies enable organizations to measure outcomes accurately, understand causal mechanisms, identify effective interventions, and generate reliable evidence for scaling successful programs and improving development strategies.

This training adopts a highly practical and interactive learning approach that combines expert-led presentations, practical exercises, real-world case studies, simulations, software demonstrations, group assignments, and hands-on applications of evaluation methodologies. Participants will acquire practical experience in formulating evaluation questions, selecting appropriate research designs, designing treatment and comparison groups, conducting baseline and endline studies, applying analytical techniques, estimating treatment effects, interpreting findings, and communicating evaluation evidence effectively to stakeholders and decision-makers.

Upon successful completion of this course, participants will possess the competencies required to design and implement rigorous impact evaluations using experimental and quasi-experimental approaches, generate credible evidence, strengthen monitoring and evaluation systems, and promote evidence-based decision-making and adaptive management. The course strengthens institutional capacities in research design, impact assessment, accountability, learning, and strategic planning while enabling organizations to maximize development outcomes through robust evidence generation and utilization.

Course Objectives

1.     Understand the concepts and principles of experimental and quasi-experimental designs.

2.     Differentiate experimental designs from quasi-experimental approaches.

3.     Formulate evaluation questions and hypotheses for impact assessments.

4.     Design rigorous evaluation frameworks and methodologies.

5.     Apply randomization and comparison group techniques.

6.     Develop baseline and endline evaluation systems.

7.     Apply statistical techniques for causal inference and impact estimation.

8.     Interpret evaluation findings and communicate evidence effectively.

9.     Utilize evaluation evidence for policy and program improvement.

10.  Strengthen organizational monitoring, evaluation, accountability, and learning systems.

Organizational Benefits

1.     Improved evidence-based decision-making capabilities.

2.     Enhanced accountability and transparency mechanisms.

3.     Strengthened impact measurement and performance evaluation systems.

4.     Better allocation of resources and strategic investments.

5.     Enhanced program design and implementation effectiveness.

6.     Improved donor reporting and compliance requirements.

7.     Increased credibility of research and evaluation findings.

8.     Strengthened organizational learning and adaptive management.

9.     Improved policy development and intervention planning.

10.  Enhanced institutional capacity in impact evaluation and evidence generation.

Target Participants

This course is designed for Monitoring and Evaluation Officers, Project Managers, Program Managers, Researchers, Data Analysts, Statisticians, Development Practitioners, Government Officials, NGO Professionals, Donor Agency Staff, Policy Analysts, Academicians, Humanitarian Program Managers, Information Management Officers, Planning Officers, Results-Based Management Specialists, Consultants, Research Coordinators, and professionals responsible for evaluation, impact assessment, evidence generation, and strategic decision-making.

Course Outline

Module 1: Introduction to Experimental and Quasi-Experimental Designs

·       Concepts and principles of evaluation research

·       Importance of impact evaluation in development programs

·       Overview of experimental and quasi-experimental approaches

·       Applications in development interventions

·       Advantages and limitations of evaluation designs

·       Evaluation standards and principles

Case Study: Assessing the effectiveness of a national nutrition intervention program.

Module 2: Theory of Change and Evaluation Framework Development

·       Developing theories of change

·       Building logical and conceptual frameworks

·       Developing evaluation questions and hypotheses

·       Defining outcomes and impact indicators

·       Identifying assumptions and risks

·       Designing integrated evaluation frameworks

Case Study: Developing a theory of change for an agricultural productivity project.

Module 3: Foundations of Experimental Designs

·       Principles of randomized experiments

·       Internal and external validity concepts

·       Random assignment procedures

·       Treatment and control group design

·       Experimental implementation strategies

·       Managing threats to validity

Case Study: Designing an experimental evaluation for a school feeding program.

Module 4: Randomized Control Trial Methodologies

·       Principles of randomized controlled trials

·       Cluster and individual randomization techniques

·       Sample selection and allocation procedures

·       Monitoring implementation fidelity

·       Ethical considerations in randomized evaluations

·       Interpretation of experimental findings

Case Study: Evaluating healthcare interventions using randomized experiments.

Module 5: Introduction to Quasi-Experimental Designs

·       Concepts and principles of quasi-experimental approaches

·       Differences between experimental and quasi-experimental methods

·       Selection bias and confounding factors

·       Counterfactual analysis and causal inference

·       Designing comparison groups

·       Applications in development evaluation

Case Study: Evaluating community development interventions where randomization is not feasible.

Module 6: Difference-in-Differences Methodology

·       Principles of difference-in-differences analysis

·       Data requirements and assumptions

·       Designing treatment and comparison groups

·       Estimating intervention effects

·       Interpretation of analytical outputs

·       Applications in development projects

Case Study: Assessing the impact of vocational training programs on employment outcomes.

Module 7: Propensity Score Matching Techniques

·       Concepts and principles of matching methods

·       Selection of matching variables

·       Propensity score estimation procedures

·       Matching algorithms and techniques

·       Assessing balance and comparability

·       Interpretation of matching results

Case Study: Evaluating microfinance interventions using propensity score matching.

Module 8: Regression Discontinuity and Instrumental Variable Designs

·       Principles of regression discontinuity designs

·       Identification strategies and assumptions

·       Instrumental variable methodologies

·       Estimating causal effects

·       Model diagnostics and validation procedures

·       Applications in policy evaluation

Case Study: Evaluating scholarship programs using regression discontinuity approaches.

Module 9: Data Collection and Management for Impact Evaluation

·       Baseline and endline survey methodologies

·       Quantitative and qualitative data collection techniques

·       Mobile and digital data collection systems

·       Data quality assurance procedures

·       Data management and validation techniques

·       Data security and confidentiality measures

Case Study: Designing data collection systems for evaluating maternal health programs.

Module 10: Statistical Analysis and Impact Estimation

·       Descriptive and inferential statistical techniques

·       Estimation of treatment effects

·       Multivariate analysis approaches

·       Statistical significance and confidence intervals

·       Sensitivity analysis techniques

·       Interpretation of analytical findings

Case Study: Estimating the impact of social protection programs on household welfare.

Module 11: Reporting and Utilization of Evaluation Findings

·       Development of evaluation reports

·       Data visualization and presentation techniques

·       Communicating findings to stakeholders

·       Preparing policy briefs and recommendations

·       Evidence-based decision-making processes

·       Knowledge management and organizational learning

Case Study: Presenting evaluation findings from a national educational reform initiative.

Module 12: Advanced Evaluation Applications and Capstone Project

·       Mixed methods evaluation approaches

·       Real-time and developmental evaluation techniques

·       Emerging technologies in impact evaluation

·       Artificial intelligence and predictive analytics applications

·       Designing integrated impact evaluation systems

·       Development of organizational action plans

Case Study: Designing and implementing a comprehensive experimental and quasi-experimental evaluation framework for assessing the effectiveness and long-term sustainability of multi-sector development interventions.

General Information

1.     Customized Training: All our courses can be tailored to meet the specific needs of participants.

2.     Language Proficiency: Participants should have a good command of the English language.

3.     Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, and collaborative group work. Our facilitators are seasoned experts with over a decade of experience.

4.     Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).

5.     Training Locations: Training sessions are conducted at Foscore Development Center (FDC-K) centers. We also offer options for in-house and online training, customized to the client's schedule.

6.     Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.

7.     Onsite Training Inclusions: The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a Certificate of Successful Completion. Participants are responsible for their travel expenses, airport transfers, visa applications, dinners, health/accident insurance, and personal expenses.

8.     Additional Services: Accommodation, pickup services, freight booking, and visa processing arrangements are available upon request at discounted rates.

9.     Equipment: Tablets and laptops can be provided to participants at an additional cost.

10.  Post-Training Support: We offer one year of free consultation and coaching after the course.

11.  Group Discounts: Register as a group of more than two and enjoy a discount ranging from 10% to 50%.

12.  Payment Terms: Payment should be made before the commencement of the training or as mutually agreed upon, to the Foscore Development Center account. This ensures better preparation for your training.

13.  Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call us at +254712260031.

14.  Website: Visit our website at www.fdc-k.org for more information.