Training course on programe/project monitoring, evaluation, accountability and learning

Monitoring and Evaluation are crucial in supporting programme and project implementation, contributing to organizational learning, upholding accountability, providing opportunities for stakeholder feedback to be captured and promoting evidence-based decision making. We have therefore organized this course with the aim of equipping participants with knowledge and skills for designing and implementing effective monitoring and evaluation systems that promote accountability and learning within their humanitarian and development programmes/projects

The training will enable participants to;
• Develop an understanding of the basic principles underlying PMEAL
• Design and implement PMEAL strategies, systems, and frameworks
• Develop and support the use of PMEAL tools and practices in program development
• Supporting the development of PMEAL work pieces such as program baselines, mid-term reviews and end lines
• Equip participants with an understanding of the major tools and best practices involved in PMEAL
• Provide participants effective rules of thumb and a framework to approach methodological issues in PMEAL
• Collect data, ensure data quality management and analyses the data
• Understand project reporting by using PMEAL
10 days
This is a general training is targeting variety of programme staff, management team members and thematic staff, Project Management Officials, government officials, programme managers; policy makers and programme implementers; development practitioners and activists and NGO and CSO members,
Module 1: Introduction Monitoring & Evaluation
• M&E and the project/programme cycle
• Importance of M&E
• Purposes and uses of M&E
• Identifying gaps in M&E
• Barriers to effective M&E
Program/Project Monitoring, Evaluation, Accountability and Learning (PMEAL) overview
• Introduction to PMEAL
• PMEAL Components
• Purposes and functions of PMEAL
• PMEAL approach
• How PMEAL changes M&E
• Challenges to PMEAL
Module 2: Frameworks and PMEAL Cycle
• Frameworks and approaches informing PMEAL
• The language used in PMEAL
• The PMEAL cycle
• Exploring key elements of a PMEAL plan
• Defining indicators
• Designing, implementation and management of a PMEAL framework
Module 3: PMEAL Planning and Budgeting
PMEAL planning
• Planning and budgeting of PMEAL
• Planning and Budgeting relationship.
• Tools for planned monitoring and evaluation activities
• How do I get started?- Practical's and application
o Identifying project/programme goals.
o Identifying project/programme indicators and targets.
o Selecting data collection methods and data sources for prioritized indicators in your PMEAL plan
o Decide upon your data analysis, quality assurance/validation, and management strategy.
o Identify your strategy for reporting and disseminating data.
PMEAL Budgeting
• Activities based PMEAL budgeting
• Components of the Budget
• Exercise: PMEAL Plan and corresponding budget
Module 4: Accountability and Learning
• Meaning of accountability mean in practice
• Aspects of accountability.
• Importance of Accountability
• Information sharing
• Participation
• Handling Complaints
• Learning and its role
• Exercise: Incorporating Accountability and Learning in Projects
Module 5: Baseline and evaluation design and management
• The purpose and use of baselines and evaluations
• Purpose and use of needs assessments, situation analysis,
• Baselines, evaluations and real-time reviews
• Importance of baseline for monitoring and evaluation
• Steps in planning and undertaking baselines and evaluations
Module 6: Survey Planning and Implementation Types of surveys
• The survey design and process
• Methods of survey sampling and determining the Sample size
• Data collection techniques and tools
• Designing survey questionnaires
• Pretesting research tools for Validity and Reliability
• Conducting the survey
• After the survey
• Exercise: Planning for a survey
Module 7: PMEAL Data Collection: Mobile Based Data Collection (ODK)
• Introduction to mobile phone data collection
• Advantages and challenges of Mobile Applications
• Components of Open Data Kit (ODK)
• Install ODK Collect into mobile devices
• Designing and creating Forms
• ODK Aggregate Server
• Exercise: Mobile Based Data Collection using ODK
Module 8: Data Quality Management, Tabulation and graphical presentation of data (SPSS/Stata/R)
Data quality Management
• Types of variables (Numerical, discrete variables, dummy variables,
• Entering categorical and continuous data
• Defining and labeling variables
• Validation and Sorting variables
• Transforming, recording and computing variables
Tabulation and graphical presentation of data
• Descriptive Statistics
• Frequency Tables
• Tables for categorical data
• Graphs and charts
• Exercise: Data Management, Graphing, and Tabulations
Module 9: Data analysis and interpretation and use (SPSS/Stata/R)
• Hypothesis testing
• Comparing Means.
• Regression and Correlation analysis
• Interpreting the data
• Introduction to analyzing qualitative data and qualitative data analysis software
• Exercise: Data Analysis and interpretation
Module 10: Project reporting through PMEAL
• Use of PMEAL data in Reporting
• Communication activities to partners and stakeholders
• Lessons learned
• Decisions making
• Recap

Date: 03 February 2020 to 14 February 2020
Time: 08:00 - 17:00
Cost: Course fee: KSH 140,000, USD 2,000

Contact: Duncan Kariuki
Telephone number: +254723360025
Email address