Food Security and Agriculture

Training Course on Project Monitoring and Evaluation with Data Management and Analysis

Course Overview

This Project Monitoring and Evaluation with Data Management and Analysis course offers an impactful exploration of the principles and practices necessary for effective project monitoring, evaluation, and data management. This course is designed for professionals and practitioners involved in project management and evaluation who want to enhance their skills in monitoring project progress, measuring outcomes, and analyzing data for informed decision-making.

Through practical examples and hands-on exercises, participants will learn how to design and implement a comprehensive project monitoring and evaluation framework. They will gain insights into data collection methods, tools, and techniques for effective data management and analysis. Participants will also learn how to translate data into meaningful insights to drive evidence-based decision-making and project improvement.

By the end of the training, participants will:

  • Have a comprehensive understanding of project monitoring and evaluation principles.
  • Master key M&E concepts, including indicators, targets, baselines, and milestones, along with familiarity with frameworks such as the logical framework approach and results-based management.
  • Gain practical skills in data management, including the design of effective data collection tools and the establishment of robust data management systems.
  • Demonstrate proficiency in analyzing both quantitative and qualitative project data using tools like Excel, SPSS, or R.
  • Implement techniques for data validation, cleaning, and quality assurance to ensure the accuracy and reliability of project data.
  • Effectively interpret and communicate evaluation findings to diverse stakeholders through reports, presentations, and data visualization.
  • Apply adaptive management principles for informed decision-making and improved project performance.
  • Utilize hands-on learning experiences, including practical exercises and real-world project data application, to confidently apply acquired knowledge in professional settings.

Duration: 10days

Course Outline

Module 1.
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

Module 3.
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 4.
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)

Module 5.
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

Module 6.
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

Module 7.
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
  • Participatory data collection methods
  • Introduction to data triangulation

Module 8.
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

Module 9.
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

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 10.
Impact Assessment

  • Introduction to impact evaluation
  • Attribution in impact evaluation
  • Estimation of counterfactual
  • Impact evaluation methods: Double difference, Propensity score matching
  • Causal inference methods (randomized control trials, quasi-experimental designs)

Note: This outline provides a general structure for a 10-day training program on Project Monitoring and Evaluation with Data Management and Analysis. The specific content, activities, and duration of each session may be adjusted based on the target audience, learning objectives, and available time.

Classroom Training Schedule

Start Date End Date Location Cost Apply
Jul 15, 2024 Jul 26, 2024 Nairobi $ 1800 Register
Aug 19, 2024 Aug 30, 2024 Nairobi $ 1800 Register
Sep 23, 2024 Oct 04, 2024 Nairobi $ 1800 Register
Oct 28, 2024 Nov 08, 2024 Nairobi $ 1800 Register
Dec 02, 2024 Dec 13, 2024 Nairobi $ 1800 Register

Virtual Training Schedule

Start Date End Date Location Cost Apply
Jul 29, 2024 Aug 09, 2024 Online $ 700 Register
Sep 02, 2024 Sep 13, 2024 Online $ 700 Register
Oct 07, 2024 Oct 18, 2024 Online $ 700 Register
Nov 11, 2024 Nov 22, 2024 Online $ 700 Register
Dec 16, 2024 Dec 27, 2024 Online $ 700 Register

Registration Process

Enrolling in our training programs is effortless! Upon submitting your details on the course registration link, a representative will get in touch with the relevant information.

Group Discounts

Boost your team's skills and maximize value with our attractive group discounts. Enroll 3 or more participants and enjoy significant discounts on any of our training programs.

Course Language

This Training course is offered in ENGLISH . Please indicate the language of choice during registration.

Training Approach

Our instructor-led trainings use well guided presentations, practical exercises, and group acivities. Participants are encouraged to bring any data relevant to their job responsibilities. Training manuals and additional reference materials are provided to the participants.

Certification

Upon completion of training, the participant will be issued with a certificate of Completion.

Post Training Support

Our commitment our clients success extends beyond the training program. We offer ongoing 3 months support through Q&A sessions, online forums, and access to our expert instructors.

Tailor-Made Course

We design customized training programs and inhouse workshops to meet specific training needs and organizational goals. Contact us to find out more: training@perk-gafrica.com