For all the successful programs one should have a good knowledge of monitoring, evaluation, accountability, and learning (MEAL) which is the part of everyday program management and sometimes can be critical too. It would be difficult to track progress, make adjustments, discover unplanned effects of programs, or judge the impact without MEAL, that have been made on the lives of those whom we are working. the overall MEAL system helps individuals and teams to be accountable to stakeholders through information sharing and developing complaints or feedback mechanism which can help to guide program implementation. The MEAL training introduces participants to its concepts and practices. It will stimulate ideas on how to design and implement monitoring and evaluation processes that strengthen accountability and learning, and so promote project, program and strategy effectiveness.
M&E and the project /program cycle
Importance of M&E
Purposes and uses of M&E
Identifying gaps in M&E
Barriers to effective M&E
Introduction to MEAL
MEAL Components
Purposes and functions of MEAL
MEAL approach
How MEAL changes M&E
Challenges to MEAL
Frameworks and approaches informing MEAL
The language used in MEAL
The MEAL cycle
Exploring key elements of a MEAL plan
Defining indicators
Designing, implementation, and management of a MEAL framework
Planning and budgeting of MEAL
Planning and Budgeting relationship.
Tools for planned monitoring and evaluation activities
How do I get started? - Practical's and application
Identifying project/program goals.
Identifying project/program indicators and targets.
Selecting data collection methods and data sources for prioritized indicators in your MEAL plan
Decide upon your data analysis, quality assurance/validation, and management strategy
Activities based MEAL budgeting
Components of the Budget
Exercise: MEAL Plan and corresponding budget
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
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
The survey design and process
Methods of survey sampling and determining the sample size
Data collection technique and tools
Designing survey questionnaires
Pretesting research tools for validity and reliability
Conducting the survey
After the survey
Exercise: Planning for a survey
Introduction to mobile phone data collection
Advantages and challenges of Mobile Applications
Components of Open Data Kit (MK)
Install ODK Collect into mobile devices
Designing and creating Forms
ODK Aggregate Server
Exercise: Mobile Based Data Collection using ODK
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
Descriptive Statistics
Frequency Tables
Tables for categorical data
Graphs and charts
Exercise: Data Management, Graphing, and Tabulations
Hypothesis testing
Comparing Means.
Regression and Correlation analysis
Interpreting the data
Introduction to analyzing qualitative data and qualitative data analysis software
Exercise in Data Analysis and interpretation
Use of MEAL data in Reporting
Communication activities to partners and stakeholders
Lessons learned
Decisions making
Recap
Develop an understanding of the basic principles underlying MEAL
Design and implement MEAL strategies, systems, and frameworks
Develop and support the use of MEAL tools and practices in program development
Supporting the development of MEAL 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 MEAL
Provide participants effective rules of thumb and a framework to approach methodological issues in MEAL
Collect data, ensure data quality management and analyses the data
Understand project reporting by using MEAL
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