Monitoring and evaluation (M&E) skills are fundamental to the process of designing and implementing programs that impact human beings positively, analyzing and using data, and conducting advocacy for human rights-based programs.

In order to build the capacity of M&E professionals who are actively engaged in the human rights sector, this two weeks programme will provide hands-on training in M&E systems and the application of M&E data to decision making in human rights programming. The workshop offers intensive training that will cover the fundamental concepts and tools for M&E in human rights programmes.

COURSE OBJECTIVES

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

• Monitor programme inputs, processes, and results required for management of human rights programs performance
• Understand concepts, methods, and tools for monitoring of human rights programs
• Identify ways to overcome barriers to conducting effective human rights program monitoring.
• Select appropriate indicators for measuring program outputs and outcomes.
• Conduct human rights program monitoring using appropriate methods and tools.
• Competently use data analysis software package (STATA)
• Get basic knowledge of analyzing qualitative data for human rights programmes
• Use NVivo qualitative data analysis software
• Communicate findings to stimulate learning and reflection.

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, and human rights activists.

COURSE CONTENT

M&E fundamentals

• What is M&E?
• M&E Plans
• M&E Frameworks
• Indicators
• Data sources collection and use
• Relating Monitoring and evaluation to your project cycle
• Identifying the challenges facing Monitoring and evaluation professionals in the health sector

Fundamentals of Human Rights: Introduction to Human Rights

• Introduction to the concept of human rights
• Human Rights and Human Security
• History and Philosophy of Human Rights
• Concepts and Nature of Human Rights
• Human Rights Standards at the Universal Level
• Implementation of Universal Human Rights Instruments
• Human Rights and Civil Society

M&E frameworks in the respect of human rights

• M&E Frameworks basics for human right based programmes
• M&E in a human rights context
• M&E Frameworks
• Developing and operationalizing M&E frameworks

Human Rights Indicators

• Human rights indicators (both qualitative and quantitative)
• Indicator metrics
• Link between indicators and results
• Indicator Matrix
• Human rights indicator performance tracking

Data collection, management, and data quality

• Data collection methods: How to undertake data collection (quantitative and qualitative)
• Data collection versus data analysis
• Data quality and data management
• Data quality dimensions
• Functional areas of data management systems
• Double counting
• Obtaining data from Social media
• ICT tool for Data processing
• Using Mobile phones for data collection

Data use

• Introduction
• Data use frameworks and key concepts
• Data demand
• Information availability
• Information use

Introduction to data analysis and interpretation for human rights programmes

• Introduction
• Data analysis key concepts
• Types of variables
• Basic analysis

Summarizing data

• Numerical summaries for discrete variables
• Tables for dichotomous variables
• Tables for categorical variables
• Tables for ordinal variables
• Graphs and charts for dichotomous and categorical variables
• Graphs and charts for ordinal variables
• Tabulations for summary statistics for continuous variables
• Graphs and charts for continuous variables

Introduction to qualitative Human rights data analysis

• Planning for qualitative data analysis
• Reviewing the data
• Organizing your data
• Coding the data
• Introduction to using a qualitative data analysis software (NVivo)

Quantitative Data Analysis

• Planning for qualitative data analysis
• Comparison of Data analysis packages
• Basics for statistical analysis
• Testing for normality of data
• Choosing the correct statistical test
• Hypothesis testing
• Confidence intervals
• Tests of statistical significance (Parametric and non-parametric tests)
• Hypothesis testing versus confidence intervals
• Interpreting the data

Evaluation of Human rights affiliated Programs

• Determining evaluation points from results framework
• Components of evaluations, implementation and process evaluations
• Evaluation designs
• Performance evaluation process
• Evaluation findings, sharing, and dissemination

Impact Assessment

• Introduction to impact evaluation
• Impact assessment in program design
• Attribution in impact evaluation
• Impact evaluation methods

M&E Results Use and Dissemination

• Use of M&E results to improve and strengthen Human rights-related programmes
• Use of M&E Lessons learned and best practices
• M&E reporting
• Design, monitoring, and evaluation of resilience interventions

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.