Project Monitoring & Evaluation With Data Analysis

Date

Venue

Fees

Registrations

18th- 29th Jan 2021

Nairobi

$1800

15th- 26th Feb 2021

Nairobi

$1800

15th- 26th Mar 2021

Nairobi

$1800

19th- 30th April 2021

Nairobi

$1800

17th- 28th May 2021

Nairobi

$1800

14th- 25th June 2021

Nairobi

$1800

19th-30th July 2021

Nairobi

$1800

16th-27th Aug 2021

Nairobi

$1800

13th-24th Sept 2021

Nairobi

$1800

18th-29th Oct 2021

Nairobi

$1800

15th-26th Nov 2021

Nairobi

$1800

6th-17th Dec 2021

Nairobi

$1800

This training is a project monitoring and evaluation course that 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.

Who Can Attend

This course is made for researchers, project staff, development practitioners, managers, or decision-makers that are responsible for project, program or maybe perhaps organization level M&E. The program seeks to enhance the capabilities of experts that have to investigate, supervise, manage, plan, implement, monitor and evaluate development projects.

Duration

10 days

Objectives

  • 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

    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

    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

    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

    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

    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

    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

    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

    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

    Impact Assessment

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

    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)

    PLEASE NOTE

    • All the participants should be conversant with the English language.
    • All our courses involve a mix of one on one presentations, web based tutorials, group discussions, and practical exercises.
    • All courses can be tailor made and adjusted to meet the client’s needs.
    • We have a team of professional experts who work as professionals and trainers in their respective fields.
    • Each participant will get an Uphilos Consultancy certificate, upon completion of each course.
    • All our training sessions are held at Uphilos Center. For groups above five people we can train at any location in Kenya, above ten people any location within East Africa, and above twenty people at any location as per the client’s specifications.
    • Participants will be responsible for their travel, dinner, airport transfers, and other personal expenses.
    • Accommodation will be arranged upon request at a discounted price.
    • All payments should be made two weeks prior to the training for better logistics. Proof of payment should be sent to [email protected]
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