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Training on Monitoring and Evaluating, Accountability and Learning.

By: Data-Afrique Consultants

Kenya

02 - 13 Dec, 2019  12 days

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USD 2,000

Venue: Data-Afrique Training Centre, Nairobi, Kenya

Other Dates

Venue Date Fee  
Data-Afrique Training Centre, Nairobi, Kenya, Kenya 06 - 17 Apr, 2020 USD2000
Data-Afrique Training Centre, Nairobi, Kenya, Kenya 02 - 13 Mar, 2020 USD2000
Data-Afrique Training Centre, Nairobi, Kenya, Kenya 03 - 14 Feb, 2020 USD2000
Data-Afrique Training Centre, Nairobi, Kenya, Kenya 06 - 17 Jan, 2020 USD2000
Data-Afrique Training Centre, Nairobi, Kenya, Kenya 04 - 15 May, 2020 USD2000
Data-Afrique Training Centre, Nairobi, Kenya, Kenya 01 - 12 Jun, 2020 USD2000

Monitoring, evaluation, accountability, and learning (MEAL) are part of everyday programme management and are critical to the success of all programmes. MEAL technical quality is very important across a portfolio of projects. Without an effective MEAL system, we would be unable to track progress, adjust, discover unplanned effects of programmes, or judge the impact that we have made on the lives of those with whom we are working. A MEAL system also helps individuals and teams to be accountable to stakeholders through information sharing and developing a complaints or feedback mechanism which can help to guide programme implementation. This training introduces participants to MEAL concepts and practices.  It will stimulate ideas on how to design and implement monitoring and evaluation processes that strengthen accountability and learning, and so promote project, programme and strategy effectiveness.

Course Objectives

At the end of this course the participants will be able to:

  • Develop an understanding of the basic principles underlying MEAL
  • Design and implement MEAL strategies, systems, and frameworks
  • Develop and support the use of MEAL tools and practices in program development
  • Supporting the development of MEAL 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 MEAL
  • Provide participants effective rules of thumb and a framework to approach methodological issues in MEAL
  • Collect data, ensure data quality management and analyses the data
  • Understand project reporting by using MEAL

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 Contents

Module 1: Introduction Monitoring and Evaluation

  • M and E and the project/programme cycle
  • Importance of M and E
  • Purposes and uses of M and E
  • Identifying gaps in M and E
  • Barriers to effective M and E

Monitoring, Evaluation, Accountability and Learning (MEAL) overview

  • Introduction to MEAL
  • MEAL Components
  • Purposes and functions of MEAL
  • MEAL approach
  • How MEAL changes M and E

 

  • Challenges to MEAL

Module 2: Frameworks and MEAL Cycle

  • Frameworks and approaches informing MEAL
  • The language used in MEAL
  • The MEAL cycles

Exploring key elements of a MEAL plan

  • Defining indicators
  • Designing, implementation and management of a MEAL framework

Module 3: MEAL Planning and Budgeting

  • MEAL planning
  • Planning and budgeting of MEAL
  • Planning and Budgeting relationship.
  • Tools for planned monitoring and evaluation activities
  • How do I get started? Practical’s and application
  • Identifying project/programme goals.
  • Identifying project/programme indicators and targets.
  • Selecting data collection methods and data sources for prioritized indicators in your MEAL plan
  • Decide upon your data analysis, quality assurance/validation, and management strategy.
  • Identify your strategy for reporting and disseminating data.
  • MEAL Budgeting
  • Activities based MEAL budgeting
  • Components of the Budget
  • Exercise: MEAL 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: MEAL 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 labelling 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 analysing qualitative data and qualitative data analysis software
  • Exercise: Data Analysis and interpretation

Module 10: Project reporting through MEAL

  • Use of MEAL data in Reporting
  • Communication activities to partners and stakeholders
  • Lessons learned
  • Decisions making

General Notes

This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.

Training manuals and additional reference materials are provided to the participants.

Upon successful completion of this course, participants will be issued with a certificate.

Data-Afrique Training Centre, Nairobi, Kenya Dec 02 - 13 Dec, 2019
Data-Afrique Training Centre, Nairobi, Kenya, Kenya 06 - 17 Apr, 2020
Data-Afrique Training Centre, Nairobi, Kenya, Kenya 02 - 13 Mar, 2020
Data-Afrique Training Centre, Nairobi, Kenya, Kenya 03 - 14 Feb, 2020
Data-Afrique Training Centre, Nairobi, Kenya, Kenya 06 - 17 Jan, 2020
Data-Afrique Training Centre, Nairobi, Kenya, Kenya 04 - 15 May, 2020
Data-Afrique Training Centre, Nairobi, Kenya, Kenya 01 - 12 Jun, 2020

Registration: 08:00:am - 08:00:am

USD 2,000.00
(Convert Currency)

DUNCAN KARIUKI +254723360025

DATA-AFRIQUE CONSULTANCY
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