M&E Training

Introduction to the course

In order to measure success and report on results, development workers and public sector managers create monitoring and evaluation systems. such systems make it possible to learn from experience and improve and improve programme and project performance. Monitoring and evaluation is therefore an essential function for all organizations, programmes and projects, and consequently international and public sector organizations have for several years been investing in the creation of such structures.  

To meet the need for specialist knowledge in this field, the PTM Consulting Services is offering an online certification progromme that provides all the technical skills and tools required to ensure effective monitoring of projects and programmes, and to manage the various evaluations that are part of the programming cycle.

About this course

This is a comprehensive M&E course that covers the principles and practices for results-based monitoring and evaluation for the entire project life cycle. This course equips participants with skills in setting up and implementing results-based monitoring and evaluation systems including M&E data management, analysis and reporting. The participants will benefit from the latest M&E thinking and practices including the results and participatory approaches. This course is designed to enable the participants become experts in monitoring and evaluating their development projects. The course covers all the key elements of a robust M&E system coupled with a practical project to illustrate the M&E.

 

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

  1. Determine the relevant stakeholders involved in monitoring and evaluation of projects
  2. Clarify key project results levels
  3. Design a project using logical framework
  4. Develop indicators and targets for each result level
  5. Track performance indicators over the life of the project
  6. Evaluation a project against the set results
  7. Develop and implement an M&E system
  8. Develop a comprehensive monitoring and evaluation plan

Course Agenda

Research Guideline

  • Basic Research Methodology 
  • Statistics 
  • Tools of data collection 
  • Data analysis 

Statistics Software

  • Advanced Excel 
  • SPSS 
  • Stata 
  • R
  • Python

Introduction to M&E

  • What is M&E
  • Difference between M&E
  • Logical framework
  • Spheres of control 

Introduction to results based project Management

  • Fundamentals of Results based management 
  • Why is RBM important?
  • Results based management VS Tradition projects Management 
  • RBM lifecycle (seven phases)
  • Areas of focus of RBM

Fundamentals of M&E

  • Definition of Monitoring and Evaluation
  • Why Monitoring and Evaluation is important
  • Key principles and concepts in M&E
  • M&E in project life cycle
  • Participatory M&E

Project Analysis

  • Situation Analysis
  • Needs Assessment
  • Strategy analysis.

Design of results in M&E

  • Results chain approaches: Impact, outcomes, outputs and activities
  • Results framework
  • M&E causal pathway
  • Principles of planning, monitoring and evaluating for results

M&E Indicators

  • Indicators definition
  • Indicator metrics
  • Linking indicators to results
  • Indicator matrix
  • Tracking of indicators

Logical Framework Approach

  • LFA – Analysis and Planning phase
  • Design of logframe
  • Risk rating in logframe
  • Horizontal and vertical logic in logframe
  • Using logframe to create schedules: Activity and Budget schedules
  • Using logframe as a project management tool

Theory of Change

  • Overview of theory of change
  • Developing theory of change
  • Theory of Change vs Log Frame
  • Case study: Theory of change

M&E Systems

  • What is an M&E System
  • Elements of M&E System
  • Steps for developing Results based M&E System

M&E Planning

  • Importance of an M&E Plan
  • Documenting M&E System in the M&E Plan
  • Components of an M&E Plan-Monitoring, Evaluation, Data management, Reporting
  • Using M&E Plan to implement M&E in a Project
  • M&E plan vs Performance Management Plan (PMP)

Baseline Survey in Results based M&E

  • Importance of baseline studies
  • Process of conducting baseline studies
  • Baseline study vs evaluation

Project Performance Evaluation

  • Process and progress evaluations
  • Evaluation research design
  • Evaluation questions
  • Evaluation report Dissemination

Impact Evaluation

  • Why impact evaluation is important
  • Project attribution
  • Counterfactual in IE
  • Analysis techniques in IE;DID, PSM

M&E Data Management

  • Different sources of M&E data
  • Qualitative data collection methods
  • Quantitative data collection methods
  • Participatory methods of data collection
  • Data Quality Assessment

M & E Results Use and Dissemination

  • Stakeholder’s information needs
  • Use of M&E results to improve and strengthen projects
  • Use of M&E Lessons learnt and Best Practices
  • Organization knowledge champions
  • M&E reporting format
  • M&E results communication strategies

Data Collection Tools and Techniques

  • Sources of M&E data –primary and secondary
  • Sampling during data collection
  • Qualitative data collection methods
  • Quantitative data collection methods
  • Participatory data collection methods
  • Introduction to data triangulation.

Data Quality

  • What is data quality?
  • Why data quality?
  • Data quality standards
  • Data flow and data quality
  • Data Quality Assessments
  • M&E system design for data quality.

Qualitative Data Analysis

  • Principles of qualitative data analysis
  • Data preparation for qualitative analysis
  • Linking and integrating multiple data sets in different forms
  • Thematic analysis for qualitative data
  • Content analysis for qualitative data
  • Manipulation and analysis of data

Quantitative Data Analysis – (Using statistic software)

  • Introduction to statistical concepts
  • Creating variables and data entry
  • Data reconstruction
  • Variable’s manipulation
  • Descriptive statistics
  • Understanding data weighting
  • Inferential statistics

Impact Assessment

  • Introduction to impact evaluation
  • Attribution in impact evaluation
  • Estimation of counterfactual
  • Impact evaluation methods: Double difference, Propensity score matching

Certification

Upon successful completion of this course, participants will be issued with a certificate. 

Tailor-Made course

We can also do this as tailor-made course to meet organization-wide needs. Contact us to our email and mobile number , available on contact page