Managing, Analysing and Interpreting M&E Data for Development Programmes Course

Managing, Analysing and Interpreting M&E Data for Development Programmes Course 

Course Preview

Statistics are a mainstay in the toolkit of program and policy evaluators. If evaluators are going to make sensible use of consultant's reports, communicate effectively with funders, and understand others' evaluation reports, then they often need at least a conceptual understanding of relatively complex, recently developed statistical techniques.

The purposes of this course are: to link common evaluation questions with appropriate statistical procedures; to offer a strong conceptual grounding in several important statistical procedures; and to describe how to interpret the results from the statistics in ways that are principled and will be persuasive to intended audiences and to equip those working in governments, funding agencies, and research and non-government organizations to understand, critique and make effective use of evidence from quantitative evaluation studies.

 

Course Objectives

By the end of the training the participants will be able to:

  • Understand both random and non-random sampling methods and their use in the M&E Context
  • Establish or reconstruct a baseline and assess your project’s/program’s impact.
  • Use current data collection technologies such as Social Media analytics and Mobile Data Gathering.
  • Understand and Use data analysis software package (STATA).
  • Understand a theory of causal inference that covers both random assignment and observational studies, including quasi-experimental and non-experimental studies
  • Identify the assumptions needed to infer causality in evaluations
  • Describe, compare and contrast six, promising alternatives to random assignment studies for inferring causality, including the requirements for implementing these designs, the strengths and weaknesses of each, and examples from evaluations where these designs have been applied.
  • Understand the various Statistical method for monitoring and impact evaluation
  • Use Geographic Information Systems (GIS) and GPS to gather data, collaborate and share information.
  • Communicate findings to stimulate learning and reflection.

Course Content

          Module 1

    • Key Concepts and Principles
    • Defining key terms in M&E
    • Introduction to results-based monitoring
    • Results Chain: inputs, processes, outputs, outcomes and impacts for development projects, programs or strategies
    • Role of partners and stakeholders
    • Result based indicators
    • Relating Monitoring and evaluation to your project cycle
    • Identifying the challenges facing Monitoring and evaluation professionals
    • Evaluation Research Designs
    • Observational data, quasi-experiments and correlation studies
    • Social experiments, natural experiments and randomized control trials
    • Qualitative evaluation designs
    • Evaluation survey design

    Module 2

    • Evaluation problem
    • Attribution
    • selection and placement biases
    • Quantitative Methods and Analysis for Impact Evaluation
    • Revision of Basic econometrics
    • Difference-in-Difference estimation
    • Regression discontinuity
    • Propensity score matching
    • Fixed effects (within unit variance)
    • Instrument Variable Technique
    • Interrupted time series*
    • Communication and dissemination of evaluation evidence
    • Communication and reporting for M&E
    • Contemporarily methods of disseminating

    Module 3

    Evaluation problem

    • Attribution
    • selection and placement biases

    Quantitative Methods and Analysis for Impact Evaluation

    • Revision of Basic econometrics
    • Difference-in-Difference estimation
    • Regression discontinuity
    • Propensity score matching
    • Fixed effects (within unit variance)
    • Instrument Variable Technique
    • Interrupted time series*

    Communication and dissemination of evaluation evidence

    • Communication and reporting for M&E
    • Contemporarily methods of disseminating

    Module 4

    • GIS & GPS Techniques in M&E (To be covered if time permits)
    • Introduction to Geographic Information System (GIS)
    • Introduction to GIS Software (Quantum GIS)
    • Mobile GPS Field Work
    • Mapping M&E Indicators with Quantum GIS
    • Participatory Mapping and collective intelligence (Google Maps, Google Earth)

 

METHODOLOGY

The instructor-led pieces of training are delivered using a combined learning approach and comprise of presentations, practical sessions, and online tutorials. Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

ACCREDITATION

Upon successful completion of this training, participants will be issued with Profound Research Services (PRC) certificate certified by the National Industrial Training Authority (NITA).

TRAINING VENUE

The training will be held at PRC Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch.

All participants will additionally cater for travel expenses, visa application(where applicable), insurance among other personal expenses.

ACCOMMODATION AND AIRPORT PICKUP

Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.

Email:This email address is being protected from spambots. You need JavaScript enabled to view it..  

Mob: +254 774040112

TAILOR-MADE

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our PRC Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 774040112 or mail This email address is being protected from spambots. You need JavaScript enabled to view it.

PAYMENT

Payment should be transferred to PRC account through bank on or before C.O.B.  31st January 2022.

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it. 

 

Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

 

 

Event Properties

Event Date 02-07-2022 9:00 am
Event End Date 02-18-2022 1:00 pm
Cut off date 01-31-2022
Individual Price KSH 140,000.00
Location Nairobi-Kenya
We are no longer accepting registration for this event
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