Monitoring and Evaluation for Development Projects and Programmes

Introduction

This 2 weeks training is design to impact job oriented skills for monitoring and evaluation that are highly demanded in the development industry. After following this course you will be capable of designing and managing Monitoring and Evaluation Systems which meet the standards of donor agencies.It is aimed at providing an overview of monitoring and evaluation methods for development results with practical applications of tools and methods. This course will provide participants with M&E tools, techniques and resources needed for planning, organizing, and/or managing programs and projects. Through exercises and group work, participants will learn the links between results-based measurement, monitoring and program evaluation. Time will be allocated for practical exercises and informal question and answer sessions around common M&E problem areas. Participants will also be provided with additional Resources for further study and research in the M&E field.

Duration

5 Days

Course Objective

Learn how to select data collection strategies and get acquainted with key issues about measures such as credibility, reliability, validity and precision

Benefit from a hands-on-approach based on real life cases enabling you to immediately apply the knowledge shared throughout course

Work in groups together with professionals from around the world, in a multicultural and diverse environment

Gain insights on how multilateral agencies manage their operations

Get access to all the resources necessary to start your own training program on Monitoring & Evaluation

Build a Monitoring & Evaluation system throughout the course for a real project

Use data analysis software package (Stata).

Use Geographic Information Systems (GIS) and GPS to gather data, collaborate and share information.

Communicate findings to stimulate learning and reflection.

Who Should Attend?

This course targets Project Management Officials from NGO’s, National Statistics Offices, Education Researchers, Government ministries, National Institutes and Planning Ministries, Central banks, and University Researchers among others.

Topics to Be Covered

M&E fundamentals

Introduction to M&E?

Key components of M&E

Relating Monitoring and evaluation to your project cycle

Identifying the challenges facing Monitoring and evaluation professionals

Steps to implementing M&E in a project/programme

Type of evaluations

Methods and tools for M&E

Challenges in M&E

Trends towards result based M&E

Managing for Development Results (MfDR)

MfDR core principles

MfDR and Result based management (RBM)

Defining RBM

Emergence of RBM and its development

Seven phases of RBM

Performance measurement, performance indicators and performance monitoring

Logical framework and results framework

Introduction to result based M&E

What is RBM?

Results based M&E outline

Result based M&E cycle

Performance measurement, performance indicators and performance monitoring

Essential actions to build result based M&E

The power of measuring results

Situation analyses/Needs assessment

Formative research

Situation analysis

Needs assessment

Tools to conduct a needs assessment

Illustrative examples of situation analysis and mappings

Baseline assessment

What is baseline data and how is it collected?

Needs assessment versus baseline study

Questions to ask about a baseline plan

What kind of baseline data is necessary, useful and practical to collect?

Examples of baseline surveys

Designing the M&E system

The result chain

Impact path ways

Logical framework vs Theory of change

Developing a theory of change

Components of a theory of change

M&E frameworks

The importance of M&E frameworks

Considerations when developing an M&E framework

Steps in developing and M&E framework

Results frameworks

Logical frameworks

M&E plans

What does an M&E plan include?

Important considerations for an M&E plan

When should M&E be undertaken?

When monitoring activities should be carried out?

When should evaluations be conducted?

Can M&E plans be amended?

Designing indicators and evidence

Defining indicators

Characteristics of good indicators

Challenges and considerations when selecting indicators

Knowing how many indicators are enough

Process versus result/impact indicators

Process indicators

Result indicators

Output indicators

Outcome indicators

Impact indicators

Developing internationally comparable indicators

Performance monitoring

Definition and process

Tools used

Evaluation techniques

Evaluation questions

Steps to developing evaluation questions

Illustrative examples

Designing evaluations for stakeholder benefit and use

Choice and use of qualitative and quantitative collection instruments

Participatory data analysis

Communicating findings meaningfully for comprehensive stakeholder learning

Gender M&E

Introduction to M&E in Gender and development

Prioritizing gender in M&E plans

Exploring gender in M&E plans

Selecting indicators to measure gender related outputs and outcomes

Gender considerations for data collection, interpretation and use

Communicating M&E results

Developing a communications strategy based on evaluation findings.

Communicating findings to bring about change.

Presenting M&E results using different media

Use of M&E results

Different uses of M&E results

To whom to give feedback

When to give feedback

How to give feed back

Embedding learning for personal and organizational benefit

Becoming change agents for M&E.

Becoming an M&E champion

Assessing programme impact

Introduction to Impact Assessment

Programme Design Implications

Impact Assessment in Programme Design

Economic evaluations

Introduction to Economic evaluation

Main methods of economic evaluation

Case study: cost effectiveness

Data collection, management and data quality

Data collection methods: How to undertake data collection (quantitative and qualitative)

Increasing questionnaires response rates

Data collection versus data analysis

Data quality and data management

Data quality dimensions

Functional areas of data management systems

ICT tools for data collection, monitoring and evaluation in development programmes

ICT innovations: Mobile data collection

Using Mobile phones for data collection

Application

How can we use ICTs for qualitative M&E

Introduction to data analysis and interpretation

Introduction

Data analysis key concepts

Types of variables

Basic analysis

Summarizing data

Numerical summaries for discrete variables

Tables for dichotomous variables

Tables for categorical variables

Tables for ordinal variables

Graphs and charts for dichotomous and categorical variables

Graphs and charts for ordinal variables

Tabulations for summary statistics for continuous variables

Graphs and charts for continuous variables

Introduction to qualitative data analysis

Planning for qualitative data analysis

Reviewing the data

Organizing your data

Coding the data

Introduction to using a qualitative data analysis software (NVivo)

Quantitative data analysis using STATA/SPSS/EXCEL/R/PHYTHON

Planning for quantitative data analysis

Comparison of Data analysis packages

Basics for statistical analysis

Testing for normality of data

Choosing the correct statistical test

Tests Hypothesis testing

Confidence intervals

Hypothesis testing versus confidence intervals

Interpreting the data

GIS techniques for M&E of development programmes

What is GIS?

Geographic approaches to development

GIS advantages for M&E

Using GIS software and data

Data sources for development issues

GIS analysis and mapping techniques

Economic techniques

Introduction to Economic evaluation

Main methods of economic evaluation

Case study: cost effectiveness