Managing and Analysing Monitoring and Evaluation Data for Development Programmes

Course date: 10/02/2020 to 21/02/2020 Duration: 10 Days Course fee: USD 1,600, KES 130,000

INTRODUCTION

This course 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 concepts. 

 

DURATION

10 Days

 

COURSE OBJECTIVES

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

  • Develop project results levels
  • Design a project using logical framework
  • Develop indicators and targets for each result level
  • Track performance indicators over the life of the project
  • Evaluation a project against the set results
  • Develop and implement M&E systems
  • Develop a comprehensive monitoring and evaluation plan
  • Use data analysis software (Stata/SPSS/R)
  • Collect data using mobile data collection tools
  • Carryout impact evaluation
  • Use GIS to analyze and share project data

 

COURSE OUTLINE

Module 1

Introduction to Results Based Project Management

  • Fundamentals of Results Based Management
  • Why is RBM important?
  • Results based management vs traditional projects management
  • RBM Lifecycle (seven phases)
  • Areas of focus of RBM

 

Fundamentals of Monitoring and Evaluation

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

 

Project Analysis

  • Situation Analysis
  • Needs Assessment
  • Strategy Analysis

 

Module 2

Design of Results in Monitoring and Evaluation

  • 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

 

Module 3

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)

 

Base 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

 

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

 

Module 4

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

 

Module 5

Gender Perspective in M&E

  • Importance of gender in M&E
  • Integrating gender into program logic
  • Setting gender sensitive indicators
  • Collecting gender disaggregated data
  • Analyzing M&E data from a gender perspective
  • Appraisal of projects from a gender perspective

 

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

 

Module 6

ICT in Monitoring and Evaluation

  • Mobile based data collection using ODK
  • Data visualization - info graphics and dashboards
  • Use of ICT tools for Real-time monitoring and evaluation

 

Module 7

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 using NVivo

 

Module 8

Quantitative Data Analysis – (Using SPSS/Stata)

  • Introduction to statistical concepts
  • Creating variables and data entry
  • Data reconstruction
  • Variables manipulation
  • Descriptive statistics
  • Understanding data weighting
  • Inferential statistics: hypothesis testing, T-test, ANOVA, regression analysis

 

Module 9

Impact Assessment

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

 

Module 10

GIS in M&E

  • Introduction to GIS in M&E
  • GIS analysis and mapping techniques
  • Data preparation for geospatial analysis
  • Geospatial analysis using GIS software (QGIS)

 

 

 

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TRAINING CUSTOMIZATION

This training can also be customized for your institution upon request. You can also have it delivered your preferred location.

For further inquiries, please contact us through Mobile: +254 732 776 700 or Email: training@fineresultsresearch.org  

 

REQUIREMENTS

Participants should be reasonably proficient in English.  During the trainings, participants should come with their own laptops.

 

TRAINING FEE

The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

 

ACCOMMODATION

Accommodation is arranged upon request. For reservations contact us through Mobile: +254732776700

or Email: training@fineresultsresearch.org  

 

PAYMENT

Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org  

 

CANCELLATION POLICY

  • All requests for cancellations must be received in writing.
  • Changes will become effective on the date of written confirmation being received.

 

Course Date: 10/02/2020 to 21/02/2020 Duration: 10 Days Course fee: USD 1,600 , KES 130,000
Call us on +254 732 776 700/ +254 759 285 295
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