Introduction

In today’s data-driven world, effective evaluation of programs, projects, and interventions is crucial for organizational success. Summative Evaluation Techniques Training Course equips participants with advanced skills to assess the impact, effectiveness, and outcomes of initiatives using quantitative and qualitative methods, ensuring evidence-based decision-making. This course emphasizes data integrity, performance metrics, impact assessment, and actionable insights, preparing professionals to deliver high-quality evaluations aligned with organizational goals and international standards.

Participants will explore practical approaches to program evaluation, learning measurement, evidence synthesis, and reporting frameworks, supported by real-world case studies. With hands-on exercises, interactive discussions, and modern evaluation tools, learners gain the ability to apply robust summative evaluation techniques in diverse sectors, including health, education, social development, and corporate programs, enhancing accountability, strategic planning, and stakeholder confidence.

Programme Curriculum

Summative Evaluation Techniques Training Course

Introduction

Course Duration

10 days

Course Objectives

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

Apply summative evaluation frameworks for program and project assessment.
Design impact evaluation strategies using quantitative and qualitative data.
Implement evidence-based methodologies to measure program outcomes.
Analyze program effectiveness and efficiency using key performance indicators.
Develop comprehensive evaluation reports for diverse stakeholders.
Integrate data visualization tools to communicate results effectively.
Conduct outcome and impact analysis with real-world case studies.
Ensure data integrity and reliability in evaluation processes.
Apply ethical and legal considerations in program evaluation.
Utilize modern evaluation software for advanced summative analysis.
Synthesize findings for policy recommendations and strategic decision-making.
Critically assess program outcomes using evidence-based best practices.
Enhance stakeholder engagement through transparent evaluation reporting.

Target Audience

Program managers and coordinators
Monitoring & Evaluation (M&E) specialists
Policy analysts and decision-makers
Data analysts and statisticians
NGO and development sector professionals
Corporate performance evaluators
Academic researchers and faculty
Government agency staff responsible for program assessment

Course Modules

Module 1: Introduction to Summative Evaluation

Definition and purpose of summative evaluation
Differences between formative and summative evaluation
Key concepts and terminology
Case study: Evaluating national health programs
Identifying evaluation objectives

Module 2: Evaluation Planning and Design

Steps in designing summative evaluations
Selecting evaluation questions and indicators
Choosing quantitative and qualitative methods
Case study: Education program assessment
Drafting evaluation plans

Module 3: Data Collection Methods

Surveys, interviews, focus groups, and observation techniques
Sampling strategies and representativeness
Using digital tools for data collection
Case study: NGO social intervention evaluation
Designing a data collection strategy

Module 4: Quantitative Analysis Techniques

Statistical methods for impact measurement
Descriptive and inferential statistics
Data cleaning and validation
Case study: Health outcomes program analysis
Using Excel/SPSS for evaluation data

Module 5: Qualitative Analysis Techniques

Thematic analysis and coding methods
Triangulation for reliability
Case study: Evaluating community development projects
Conducting focus group analysis
NVivo introduction

Module 6: Mixed-Methods Approaches

Integrating quantitative and qualitative data
Advantages of mixed-method evaluations
Case study: Multi-sector program evaluation
Designing a mixed-method evaluation
Best practices for data synthesis

Module 7: Measuring Outcomes and Impact

Defining short-term and long-term outcomes
Establishing cause-effect relationships
Case study: NGO education impact assessment
Developing outcome indicators
Techniques for measuring program success

Module 8: Evaluation Reporting Techniques

Structuring comprehensive evaluation reports
Visualizing data for stakeholders
Case study: Government program evaluation report
Creating charts and dashboards
Tips for clear and actionable recommendations

Module 9: Data Visualization and Communication

Tools for effective data presentation
Infographics and dashboards
Case study: Corporate program evaluation presentation
Building Power BI/Excel dashboards
Communicating findings to non-technical audiences

Module 10: Ethical and Legal Considerations

Confidentiality and informed consent
Legal frameworks in evaluation
Case study: Health research compliance
Identifying ethical issues
Strategies for ethical decision-making

Module 11: Ensuring Data Quality

Data validation and reliability checks
Error reduction techniques
Case study: Large-scale survey quality control
Cleaning and verifying datasets
Maintaining integrity in evaluation processes

Module 12: Stakeholder Engagement in Summative Evaluation

Identifying and managing stakeholders
Effective communication strategies
Case study: Donor-funded project evaluation
Stakeholder mapping
Reporting feedback loops

Module 13: Using Evaluation Software Tools

SPSS, STATA, NVivo, Power BI
Automating data analysis processes
Case study: NGO program monitoring
Hands-on tool exercises
Tips for efficient tool usage

Module 14: Policy and Decision-Making Applications

Translating evaluation findings into policies
Strategic decision-making using data
Case study: Government social protection programs
Policy brief development
Aligning evaluation results with organizational strategy

Module 15: Advanced Summative Evaluation Techniques

Real-world complex program evaluations
Scenario-based learning and simulations
Case study: Multi-country development program
Designing an advanced evaluation framework
Best practices and lessons learned

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@fineskilltrainingcenter.org or call +254769199797

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 Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Outcome assessment Impact measurement Data analysis Program effectiveness

Programme Fee

Duration: 10 Days

Method: Online or Physical

Online Price: $2,000

Physical Price: $3,000

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $2,000