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;
- Gain knowledge of the fundamental ideas behind PMEAL.
- Create and implement PMEAL frameworks, strategies, and systems.
- Develop PMEAL work products such program baselines, mid-term reviews, and end lines, and promote their use in program development.
- provide participants with knowledge of the key instruments and best practices used in PMEAL
- Give participants a framework to think about methodological challenges in PMEAL and practical rules of thumb.
- Data collection, management, and analysis are all necessary.
- Using PMEAL, comprehend project reporting
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
The 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
ÂUsing 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
ÂPMEAL 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 6: Planning and Execution of Surveys many survey types
ÂThe 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 survey
Exercise: Organizing a survey
TOPIC 7: PMEAL Data Collection Using Mobile Devices (ODK)
ÂIntroduction 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
Variable transformation, recording, and computation
TOPIC 8: SPSS/Stata/R Data Quality Management, Tabulation, and Graphical Data Presentation
ÂManagement 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
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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