International Training on Monitoring and Evaluation for Development Results; Nairobi and Mombasa, Kenya

This course is designed to develop monitoring and evaluation skills, which are in high demand in today’s job market, particularly in development industries. On successful completion, you will gain the ability to design and manage monitoring & evaluation systems that meet the standards of donor agencies.

Duration

10 Days

Learning Objectives

i.                    Build a Monitoring & Evaluation system

ii.                  Benefit from a proactive approach based on real life cases

iii.               Gain insights on how multilateral agencies manage their operations

iv.               Communicate findings to stimulate learning and reflection.

v.                  Get access to resources that you require in order to start your training program on Monitoring & Evaluation

vi.               Get acquainted with key issues about measures such as reliability, validity credibility, and precision

vii.             Use data analysis software package (Stata).

viii.           Learn how to select data collection strategies

ix.                Use GPS and Geographic Information Systems (GIS) to gather data and share information.

x.                  Work in groups together with professionals from around the world, in a multicultural and diverse environment

Who Should Attend?

This course targets Project Management Officials from NGO’s, Education Researchers, National Statistics Offices, Government ministries, Central banks, National Institutes and Planning Ministries, and University Researchers, among others.

 Course content

Module I: M&E fundamentals

a.      Identifying the challenges that face Monitoring and evaluation professionals

b.      Introduction to M&E?

c.       Key components of M&E

d.     Relating Monitoring and evaluation to the project cycle

Module II: Trends towards result based M&E

a.      Managing for development results (MFDR)

b.      MFDR core principles

c.       Results based management

Module III: Introduction to result based M&E

a.      Essential actions to build result-based M&E

b.      Performance measurement, performance indicators and performance monitoring

c.       Result based M&E cycle

d.     Results based M&E outline

e.      The power of measuring results

f.        What is RBM?

Module IV: Situation analyses/Needs assessment

a.      Formative research and analysis

b.      Practical/illustrative examples

c.       Tools to conduct needs assessment

Module V: Baseline assessment

a.      Examples of baseline study

b.      Importance of baseline study

c.       Needs assessment versus baseline study

d.     What is baseline data and how to collect?

Module VI: Designing the M&E system

a.      Impact path ways

b.      M&E frame works

c.       Results chain and impact pathways

d.     Theory of change

Module VII: Step by step approaches to M&E

a.      Design &set up

b.      M&E system design practical

c.       Principles of M&E system

d.     System management

Module VIII: M&E frameworks

a.      Developing and implementing M&E frameworks

b.      Linking M&E frameworks to indicators

c.       M&E frameworks for development

d.     Using data

Module IX: M&E plans

a.      Can M&E plans be amended?

b.      Important considerations for an M&E plan

c.       What does an M&E plan include?

d.     When monitoring activities should be carried out?

e.      When should evaluations be conducted?

f.        When should M&E be undertaken?

Module X: Designing indicators and evidence

a.      Challenges and considerations when selecting indicators

b.      Developing indicators

c.       Impact indicators

d.     Outcome indicators

e.      Output indicators

f.        Process indicators

g.      Process versus result/impact indicators

h.      Result indicators

i.        Types of indictors and characteristics

Module XI: Performance monitoring

a.      Definition and process

b.      Tools used

Module XII: Evaluation techniques

a.      Communication of results

b.      Data collection and analysis

c.       Design

d.     Illustrative examples

Module XIII: Gender M&E

a.      Exploring gender in M&E plans

b.      Gender considerations for data interpretation, collection, and use

c.       Introduction to M&E in Gender and development

d.     Prioritizing gender in M&E plans

e.      Selecting indicators to measure gender related outputs and outcomes

Module XIV: Evaluation techniques

a.      Case study: cost effectiveness

b.      Introduction to Economic evaluation

c.       Main methods of economic evaluation

Module XV: Communicating M&E results

a.      Presentation of findings/results

b.      Developing communication system

Module XVI: Use of &M&E results

a.      Audiences

b.      Different uses of results

Module XVII: Assessing program impact

a.      Impact Assessment in Program Design

b.      Introduction to Impact Assessment

c.       Program Design Implications

Module XVIII: Economic evaluations

a.      Case study: cost effectiveness

b.      Introduction to Economic evaluation

c.       Main methods of economic evaluation

Module XIX: Data collection, management and data quality

a.      Data collection methods: How to undertake quantitative and qualitative data collection

b.      Data collection versus data analysis

c.       Data quality and data management

d.     Data quality dimensions

e.      Functional areas of data management systems

f.        Increasing questionnaires response rates

Module XX: Introduction to data analysis and interpretation

a.      Basic analysis

b.      Data analysis key concepts

c.       Introduction

d.     Types of variables

Module XXI: Summarizing data

a.      Graphs and charts for continuous variables

b.      Graphs and charts for dichotomous and categorical variables

c.       Graphs and charts for ordinal variables

d.     Numerical summaries for discrete variables

e.      Tables for categorical variables

f.        Tables for dichotomous variables

g.      Tables for ordinal variables

h.      Tabulations for summary statistics for continuous variables

Module XXII: Introduction to qualitative data analysis

a.      Coding the data

b.      Introduction to using a qualitative data analysis software (NVivo)

c.       Organizing your data

d.     Planning for qualitative data analysis

e.      Reviewing the data

Module XXIIIQuantitative data analysis

a.      Basics for statistical analysis

b.      Choosing the correct statistical test

c.       Comparison of Data analysis packages

d.     Confidence intervals

e.      Hypothesis testing versus confidence intervals

f.        Interpreting the data

g.      Planning for quantitative data analysis

h.      Testing for normality of data

i.        Tests Hypothesis testing

Module XXIV: ICT tools for data collection, monitoring and evaluation in development programmes

a.      Application

b.      How can we use ICTs for qualitative M&E

c.       ICT innovations: Mobile data collection

d.     Using Mobile phones for data collection

Module XXV: GIS techniques for M&E of development programs

a.      Data sources for development issues

b.      Geographic approaches to development

c.       GIS advantages for M&E

d.     GIS analysis and mapping techniques

e.      Using GIS software and data

f.        What is GIS?

Methodology

The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

Key Notes

i. The participant must be conversant with English.

ii. Upon completion of training the participant will be issued with an Authorized Training Certificate

iii. Course duration is flexible and the contents can be modified to fit any number of days.

iv. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and a Certificate upon successful completion of Training.

v. One-year post-training support Consultation and Coaching provided after the course.

vi. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.