Mountains

Monitoring, Evaluation, Accountability and Learning

What Will I Learn?

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.

Fee In Different Currencies
RWF 70,000 Or USD 0 Or EURO 0
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Indicative Content

    • Introduction On Monitoring & Evaluation

      • 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

    • Monitoring, Evaluation, Accountability, and Learning (MEAL) Overview

      • Introduction to MEAL

      • MEAL Components

      • Purposes and functions of MEAL

      • MEAL approach

      • How MEAL changes M&E

      • Challenges to MEAL

    • Frameworks and MEAL Cycle

      • 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

    • MEAL Planning and Budgeting MEAL planning

      • 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

    • MEAL Budgeting

      • Activities based MEAL budgeting

      • Components of the Budget

      • Exercise: MEAL Plan and corresponding budget

    • 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

    • 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

    • Survey Planning and Implementation Types of surveys

      • 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

    • MEAL Data Collection: Mobile Based Data Collection (ODK)

      • 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

    • 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

    • 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 in Data Analysis and interpretation

    • Project reporting through MEAL

      • Use of MEAL data in Reporting

      • Communication activities to partners and stakeholders

      • Lessons learned

      • Decisions making

      • Recap

70,000
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Objectives

  • 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

70,000
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Course Features

  • Lectures 0
  • Duration 90 Days
  • Certificate Yes
  • Enroll Now

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