PURPOSE
Monitoring and evaluation are essential to implementing programs and projects, fostering organizational learning, upholding responsibility, collecting stakeholder feedback, and fostering the use of evidence in decision-making. In order to provide participants with the information and skills necessary to build and implement efficient monitoring and evaluation systems that foster accountability and learning within their humanitarian and development programs/projects, we have designed this course.
COURSE OBJECTIVES
By the end of the course, Participants will be able to;
- Become familiar with the fundamental ideas of PMEAL.
- Create and put into action PMEAL frameworks and tactics.
- Develop and promote the application of PMEAL principles and tools in program development, including the production of PMEAL work pieces including program baselines, mid-term evaluations, and end lines.
- Give participants knowledge of the key instruments and recommended procedures used in PMEAL.
- Give participants a set of practical guidelines and a plan of attack for handling PMEAL methodological difficulties.
- Obtain information, make sure it is accurate, and analyze it.
- PMEAL will help you comprehend project reporting.
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DURATION: 10 Days
Target Audience
This general training is intended for a variety of program staff, management team members, and thematic staff. It is also intended for project management officials, government officials, program managers, policymakers, and program implementers, as well as members of NGO and CSOs and practitioners and activists in the field of development.
COURSE CONTENT
TOPIC 1: Introduction to Monitoring and Evaluation
M&E and the cycle of a project or program
Value of M&E
Uses and objectives of M&E
Identifying M&E gaps
Obstacles to efficient M&E
Overview of PMEAL (Program/Project Monitoring, Evaluation, Accountability and Learning)
Description of PMEAL components
PMEAL’s goals and objectives PMEAL’s strategy
How PMEAL alters M&E Difficulties with PMEAL
TOPIC 2: PMEAL Cycle and Frameworks
Using frameworks and methods to inform PMEAL
The dialect employed in PMEAL
PMEAL’s cycle
Examining the main components of a PMEAL plan
Specifying signs
PMEAL framework design, implementation, and management
TOPIC 3: PMEAL Planning and Budgeting
PMEAL preparation
PMEAL budget planning and link between planning and budgeting.
Tools for organized monitoring and evaluation tasks
Where do I begin?
– Applications and practicality
setting project/program objectives.
determining the goals and indicators for a project or program.
choosing the data sources and data collecting techniques for the prioritized indicators in your PMEAL plan
Choose your management approach, quality assurance/validation plan, and data analysis approach.
Determine your data reporting and dissemination plan.
The PMEAL Budget
PMEAL budgeting based on activities
Budget exercise components include the PMEAL Plan and the related budget.
TOPIC 4: Accountability and learning
What does accountability mean in real life?
Elements of responsibility.
Accountability is important.
Sharing of information
Complaints Handling Participation
Knowledge and its function
Integrating accountability and learning into projects as a practice
TOPIC 5: Design and administration of baseline and evaluation data
The goal of baseline measurements and how they are used
Needs assessments, situation analyses, baselines, evaluations, and real-time reviews: their uses and purposes
Baseline data are crucial for monitoring and evaluation.
Steps for organizing, carrying out, and evaluating baselines
TOPIC 6: Planning and Execution of Surveys
Survey types
The process and design of the survey
Survey sampling techniques and formulas for calculating sample sizes
Tools and data collection methods
Creating questionnaires for surveys
Assessing the validity and reliability of research tools in advance
Carrying out the survey
Exercise: organizing a survey
TOPIC 7: PMEAL Data Collection Using Mobile Devices (ODK)
Introduction to collecting data from mobile phones
Benefits and Issues with Mobile Applications
Open Data Kit’s component parts (ODK)
ODK Collect should be installed on mobile devices.
Creating and designing forms
Exercise for the ODK Aggregate Server
Utilizing ODK, mobile-based data collection
TOPIC 8: SPSS/Stata/R Data Quality Management, Tabulation, and Graphical Data Presentation
Management of data quality
Types of variables (numerical, discrete, dummy, entering continuous and categorical data
Specifying and identifying variables
Variables for verification and sorting
Variable transformation, recording, and computation
Data tabulation and graphical display
Statistics, Descriptive
Periodic Tables
Categorical data tables
Charts and graphs
Data management, graphing, and tabulations exercise
TOPIC 9: Using SPSS, Stata, and R for data analysis, interpretation, and usage
Testing hypotheses
Contrasting means
Analysis using regression and correlation
Analyzing the data
Introduction to qualitative data analysis and software for qualitative data analysis
Exercise: Analysis and interpretation of data
TOPIC 10: PMEAL project reporting
Reporting and communication to partners and stakeholders using PMEAL data
Lessons discovered
Making decisions
Recap
GENERA