Monitoring Evaluation For Public And Donor Funded Programmes

Purpose

This program provides participants with project management, monitoring, and evaluation skills while introducing fundamental concepts and procedures in the management, monitoring, and assessment of international development projects. The training combines the development of data gathering and analytical skills with planning and management principles.

 

Course Objectives

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

  • Recognize the ideas behind monitoring and evaluation
  • Designing M&E frameworks and systems
  • Monitoring and evaluation planning and execution
  • Identify pertinent metrics and information required for evaluation.
  • Establishing reasonable expectations for results based on suitable analysis
  • Utilizing the right indicators to track progress toward results and the usage of resources

 

DURATION: 10 Days.

Target Audience

Project management professionals, government employees, department heads, and program managers, as well as decision-makers and program implementers, development practitioners and activists, NGO and CSO members, university researchers, and others, are among the target audiences for this course.

Course Content

TOPIC 1: Monitoring and Evaluation Basic Concepts

A description of M&E

M&E and the cycle of a project or program

The value of M&E

Uses and objectives of M&E

Identifying M&E gaps

Obstacles to efficient M&E

Overview of problem analysis

 

TOPIC 2:Results-based M&E

What is Result Based M&E?

Why is management reliant on results?

Outline and cycle for results-based M&E

How to apply management by evaluation and results

Tools for Result-Based M&E

The framework for performance indicators and performance measurement

How to finish a performance measurement framework in steps

 

TOPIC 3: Readiness Assessment and M&E Outcomes Determination

Readiness Evaluation

Assessment of M&E readiness and its importance

M&E preparedness assessment factors

Implementing Readiness Assessment

Evaluation of Results

The Relevance of Results

Issues to Take into Account When Selecting Results for Monitoring and Evaluation Key Performance Indicators for Tracking Results

Choosing Effective Performance Indicators

Utilizing Proxy Indicators

The Benefits and Drawbacks of Predesigned Indicators

Building Indicators

Configuring indicators

 

TOPIC 4: Baseline Assessment

What is baseline evaluation?

The significance of baseline analysis

establishing baselines and metrics

the gathering of baseline indicator data

Using baseline information for indicators

Typical baseline studies

 

TOPIC 5: M&E Frameworks and Systems

Guidelines for M&E systems

Defining the M&E system’s objectives and reach

Configuration of the M&E system

Designing the M&E system practically

M&E frameworks explained

Constructing and putting into use M&E frameworks

Relating indicators to M&E frameworks

 

TOPIC 6: Performance M&E for Results

Needs of Every Results-Based Monitoring System Types and Levels of Monitoring Links between Implementation Monitoring and Results Monitoring

Evaluation procedures

Disintegration of gender in M&E planning

Distributing M&E results

Utilizing Monitoring and Evaluation Results

Evaluation of program impact

 

TOPIC 7:Statistics Concepts, Research Methodology, Data Collection and Management

Data with both qualitative and quantitative meaning

Various types of variables (numerical, discrete, dummy,

Choosing research strategies

Sample size and sampling methods

Creating research instruments and data collection methods

Entering both continuous and categorical data

Specifying and identifying variables

Variables for verification and sorting

Variable transformation, recording, and computation

 

TOPIC 8: Data tabulation and graphical display

Statistics, Descriptive

Periodic tables

Categorical data tables

Charts and graphs

TOPIC 9: Data interpretation and analysis for M&E

Testing hypotheses

Contrasting Means

Analysis of Regression and Correlation

Analyzing the data

Introduction to qualitative data analysis and software for qualitative data analysis (NVIvo)

 

TOPIC 10: Mapping and Mobile-Based Data Collection

Introduction to collecting data from mobile phones

Benefits and Issues with Mobile Applications

Open Data Kit’s component parts (ODK)

Platforms and formats for ODK

Installing and downloading ODK Collect utilizing APK files or mobile devices

Creating and designing forms

Data is transformed using the ODK Aggregate Server and GPS coordinates are used to map and visualize graphs.