This Course is designed 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. The 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.
Introduction to M&E?
Key components of M&E
Relating Monitoring and evaluation to your project cycle
Identifying the challenges facing monitoring and evaluation
Steps to implementing M&E in a project /program
Type of evaluations
Methods and tools for M&E
Challenges in M&E
Managing for Development Results (MFDR)
MIDR 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
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
Formative research
Situation analysis
Needs assessment
Tools to conduct a needs assessment
Illustrative examples of situation analysis and mapping
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
The result chain
Impact path ways
Logical framework vs Theory of change
Developing a theory of change
Components of a theory of change
The importance of M&E frameworks
Considerations when developing an M&E framework
Steps in developing and M&E framework
Results frameworks
Logical frameworks
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?
Defining indicators
Characteristics of good indicators
Challenges and considerations when selecting indicator
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
Definition and process
Tools used
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
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
Developing a communications strategy based on evaluation findings.
Communicating findings to bring about change.
Presenting M&E results using different media
Different uses of M&E results
To whom to give feedback
When to give feedback
How to give feedback?
Embedding learning for personal and organizational benefit
Becoming change agents for M&E.
Becoming an M&E champion
Introduction to Impact Assessment
Programmer Design Implications
Impact Assessment in Programmer Design
Introduction to Economic evaluation
Main methods of economic evaluation
Case study: cost effectiveness
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 innovations: Mobile data collection
Using Mobile phones for data collection
Application
How can we use ICTs for qualitative M&E?
Introduction
Data analysis key concepts
Types of variables
Basic analysis
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
Planning for qualitative data analysis
Reviewing the data
Organizing your data
Coding the data
Introduction on use of a qualitative data analysis software (NVIVO)
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
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
Introduction to Economic evaluation
Main methods of economic evaluation
Case study: cost effectiveness
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.
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