Training course on programe/project monitoring, evaluation, accountability and learning

COURSE OBJECTIVES
The training will enable participants to;
• Develop an understanding of the basic principles underlying PMEAL
• Design and implement PMEAL strategies, systems, and frameworks
• Develop and support the use of PMEAL tools and practices in program development
• Supporting the development of PMEAL work pieces such as program baselines, mid-term reviews and end lines
• Equip participants with an understanding of the major tools and best practices involved in PMEAL
• Provide participants effective rules of thumb and a framework to approach methodological issues in PMEAL
• Collect data, ensure data quality management and analyses the data
• Understand project reporting by using PMEAL
DURATION
10 days
WHO SHOULD ATTEND
This is a general training is targeting variety of programme staff, management team members and thematic staff, Project Management Officials, government officials, programme managers; policy makers and programme implementers; development practitioners and activists and NGO and CSO members,
COURSE CONTENT
Module 1: Introduction Monitoring & Evaluation
• M&E and the project/programme cycle
• Importance of M&E
• Purposes and uses of M&E
• Identifying gaps in M&E
• Barriers to effective M&E
Program/Project Monitoring, Evaluation, Accountability and Learning (PMEAL) overview
• Introduction to PMEAL
• PMEAL Components
• Purposes and functions of PMEAL
• PMEAL approach
• How PMEAL changes M&E
• Challenges to PMEAL
Module 2: Frameworks and PMEAL Cycle
• Frameworks and approaches informing PMEAL
• The language used in PMEAL
• The PMEAL cycle
• Exploring key elements of a PMEAL plan
• Defining indicators
• Designing, implementation and management of a PMEAL framework
Module 3: PMEAL Planning and Budgeting
PMEAL planning
• Planning and budgeting of PMEAL
• Planning and Budgeting relationship.
• Tools for planned monitoring and evaluation activities
• How do I get started?- Practical's and application
o Identifying project/programme goals.
o Identifying project/programme indicators and targets.
o Selecting data collection methods and data sources for prioritized indicators in your PMEAL plan
o Decide upon your data analysis, quality assurance/validation, and management strategy.
o Identify your strategy for reporting and disseminating data.
PMEAL Budgeting
• Activities based PMEAL budgeting
• Components of the Budget
• Exercise: PMEAL Plan and corresponding budget
Module 4: Accountability and Learning
• Meaning of accountability mean in practice
• Aspects of accountability.
• Importance of Accountability
• Information sharing
• Participation
• Handling Complaints
• Learning and its role
• Exercise: Incorporating Accountability and Learning in Projects
Module 5: Baseline and evaluation design and management
• The purpose and use of baselines and evaluations
• Purpose and use of needs assessments, situation analysis,
• Baselines, evaluations and real-time reviews
• Importance of baseline for monitoring and evaluation
• Steps in planning and undertaking baselines and evaluations
Module 6: Survey Planning and Implementation Types of surveys
• The survey design and process
• Methods of survey sampling and determining the Sample size
• Data collection techniques and tools
• Designing survey questionnaires
• Pretesting research tools for Validity and Reliability
• Conducting the survey
• After the survey
• Exercise: Planning for a survey
Module 7: PMEAL Data Collection: Mobile Based Data Collection (ODK)
• Introduction to mobile phone data collection
• Advantages and challenges of Mobile Applications
• Components of Open Data Kit (ODK)
• Install ODK Collect into mobile devices
• Designing and creating Forms
• ODK Aggregate Server
• Exercise: Mobile Based Data Collection using ODK
Module 8: Data Quality Management, Tabulation and graphical presentation of data (SPSS/Stata/R)
Data quality Management
• Types of variables (Numerical, discrete variables, dummy variables,
• Entering categorical and continuous data
• Defining and labeling variables
• Validation and Sorting variables
• Transforming, recording and computing variables
Tabulation and graphical presentation of data
• Descriptive Statistics
• Frequency Tables
• Tables for categorical data
• Graphs and charts
• Exercise: Data Management, Graphing, and Tabulations
Module 9: Data analysis and interpretation and use (SPSS/Stata/R)
• Hypothesis testing
• Comparing Means.
• Regression and Correlation analysis
• Interpreting the data
• Introduction to analyzing qualitative data and qualitative data analysis software
• Exercise: Data Analysis and interpretation
Module 10: Project reporting through PMEAL
• Use of PMEAL data in Reporting
• Communication activities to partners and stakeholders
• Lessons learned
• Decisions making
• Recap

Date: 03 February 2020 to 14 February 2020
Time: 08:00 - 17:00
Venue: DATA-AFRIQUE TRAINING CENTRE, NAIROBI KENYA., Nairobi
Cost: Course fee: KSH 140,000, USD 2,000