International Development in Monitoring and Evaluation for Development Results

This training course in Monitoring and evaluation (M&E) is about collecting, storing, analyzing and finally transforming data into strategic information so it can be used to make informed decisions for program management and improvement, policy formulation, and advocacy.

Who should attend?

• Project Managers
• Statisticians & Researchers
• Planners & Monitors and Evaluators
• NGOS & Government Ministries
• Financial & Academic Institutions

LEARNING OBJECTIVES

• To learn how to develop a Monitoring & Evaluation system
• To set objectives for data collection with credibility and precision
• To gain hands on experience in real case studies approach
• To be able to use data analysis software package (STATA)
• To learn how to use GIS & GPS to collected and collaborate data
• To understand how Multi National organizations manage projects
• To gain international exposure in Monitoring & Evaluation by interacting with participants from diverse nationalities during group work

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

Monitoring & Evaluation Basics

• Introduction to M&E
• Important components of M&E
• How to Relate Monitoring and evaluation to your project cycle
• How to identify the challenges facing Monitoring and evaluation professionals

Introduction to data analysis and interpretation

• Data analysis key concepts
• Types of variables

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

• 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

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

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

Developments towards result based M&E

• Managing for development results (MFDR)
• MFDR core principles

Situation analyses/Needs assessment

• Formative research and analysis
• Tools to conduct needs assessment
• Practical/illustrative examples

Baseline assessment

• What is baseline data and how to collect?
• Needs assessment versus baseline study
• Importance of baseline study
• Examples of baseline study

Designing the M&E system

• Results chain and impact pathways
• M&E frame works
• Theory of change
• Impact path ways

Step by step approaches to M&E

• Principles of M&E system
• Design &set up
• System management
• M&E system design practical

M&E frameworks

• M&E frameworks for development
• Developing and implementing M&E frameworks
• Linking M&E frameworks to indicators
• Using data

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

• Developing indicators
• Types of indictors and characteristics
• Process versus result/impact indicators
• Process indicators
• Result indicators
• Output indicators
• Outcome indicators
• Impact indicators
• Challenges and considerations when selecting indicators

Performance monitoring

• Definition and process
• Tools used

Evaluation techniques

• Design
• Data collection and analysis
• Communication of results
• Illustrative examples

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

Evaluation techniques

• Introduction to Economic evaluation
• Main methods of economic evaluation
• Case study: cost effectiveness

Communicating M&E results

• Developing communication system
• Presentation of findings/results

Use of &M&E results

• Different uses of results
• Audiences

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