Training on Managing and Analysing Monitoring and Evaluation Data for Development Programmes

 

FineResults Research Services invites you to training on:

Managing and Analysing Monitoring and Evaluation Data for Development Programmes

DATE:8th to 19th March 2021

COST: USD 1600 Or Ksh 120000

REGISTER TO ATTEND

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)

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: +254 759 285 295. You can also email us on: [email protected]

 

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: +254 759 285 295 or Email: [email protected]

 

PAYMENT

Payment should be transferred to FineResults Research Services bank  account before commencement of training. Send proof of payment through the email: [email protected]

 

CANCELLATION POLICY

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

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