Preparation Course for Certified Monitoring and Evaluation Specialist (CMES)

Course Info

Length: 1 Week

Type: Online

Available Dates

Fees

  • Nov-11-2024

    1,550

  • Dec-09-2024

    1,550

  • Jan-20-2025

    1,550

  • Feb-17-2025

    1,550

  • Mar-17-2025

    1,550

  • Apr-21-2025

    1,550

  • May-19-2025

    1,550

  • June-16-2025

    1,550

  • July-21-2025

    1,550

  • Aug-18-2025

    1,550

  • Sep-15-2025

    1,550

  • Oct-20-2025

    1,550

  • Nov-17-2025

    1,550

  • Dec-22-2025

    1,550

Course Details

Course Outline

5 days course

Introduction to monitoring and Evaluation

 

  • Meaning of Project and Project Management
  • Key characteristics of a project
  • Position of monitoring and evaluation in project management phases
  • Types of monitoring
  • Types of evaluation and evaluation criteria
  • Objectives of monitoring and evaluation
  • Difference between M&E | components of M&E system
  • Who should be involved in M&E activites

Designing logical framework in M&E


  • Introduction to results chain and results chain in details
  • Background and description of logical framework
  • SMART indicators
  • Means of verification and risks and assumptions
  • Designing logical framework with samples

Monitoring and Evaluation methods and tools


  • Introduction to M&E methods
  • Direct Observation | Survey or interviews | Focus Group discussion | Pile-ranking exercise | Data Triangulation
  • M&E tools and what influences the tools choice?
  • Data Types | Designing questionnaire | Tips on questionnaire designing | Practical focus group discussion guide designing
  • Practical key informant interview guide formulation | Sample observation checklist | Sample sign in sheet

Sampling in Monitoring and Evaluation


  • Introduction to sampling
  • Representative random sampling
  • Purposive sampling
  • Research ethics and informed consent in M&E
  • Research misconduct in M&E
  • Causes of poor data quality | Monitoring data quality during collection process

Data Analysis and Presentation


  • Introduction to data analysis  
  • Quantitative data analysis
  • Using mean, Frequency, Percentage, Range and standard deviation
  • Bar Charts | Stacked bar chart | Pie Chart | Line graph | Scatter Plo
  • Qualitative data analysis

Course Video