PURPOSE
Designing and executing programs that positively benefit people, collecting and interpreting data, and advocating for programs based on human rights all require strong monitoring and evaluation (M&E) abilities. This two-week program will offer practical training in M&E systems and the use of M&E data to decision-making in human rights programming in order to increase the capacity of M&E professionals who are actively involved in the human rights sector. The session provides in-depth instruction on the core ideas and equipment for M&E in human rights programs.
COURSE OBJECTIVES
At the end of this course the participants will be able to:
- Track the program’s inputs, procedures, and outcomes needed to manage the effectiveness of its human rights programs.
- Recognize key ideas, techniques, and resources for monitoring human rights initiatives.
- Determine strategies for removing obstacles to carrying out efficient human rights program monitoring.
- Choose the right metrics to gauge the results and outputs of your program.
- Monitoring human rights programs should be done with the proper techniques and equipment.
- using a data analysis program effectively (STATA)
- learn the fundamentals of qualitative data analysis for human rights programs.
- Utilize NVivo to analyze qualitative data.
- To promote learning and reflection, share findings.
DURATION: 10 Days
TARGET AUDIENCE
A variety of program staff, management team members, thematic staff, project management officials, government officials, program managers, policy makers, program implementers, development practitioners and activists, NGO and CSO members, and human rights activists are among those who will benefit from this general training.
COURSE CONTENT
TOPIC 1: Fundamentals of M&E
Describe M&E.
M&E Programs
Frameworks for M&E
Indicators
Using and collecting data sources
Monitoring and evaluation in relation to your project cycle
Identifying the difficulties monitoring and evaluation specialists in the health industry face
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TOPIC 2: Introduction to Human Rights: Basic Human Rights
Description of the human rights concept
Human security and human rights
Human rights philosophy and history
Concepts and human rights’ nature
Application of universal human rights instruments and universal human rights standards
Civil society and human rights
TOPIC 3: M&E frameworks for upholding human rights
Basic M&E Frameworks for Programs Based on Human Rights
M&E in the context of human rights
Frameworks for M&E
Creating and implementing M&E frameworks
TOPIC 4: Gathering, administration, and quality of data
Data gathering techniques: How to collect data (quantitative and qualitative)
Data gathering as opposed to data analysis
Data management and data quality
Dimensions of data quality
Aspects of data management systems’ functionality
multiple counting
Data gathering via social media
ICT data processing tool
Using mobile devices to collect data
TOPIC 5: Using data
Introduction
Frameworks for data utilization and key ideas
Information demand and availability
Utilization of information
TOPIC 6: An introduction to data interpretation and analysis for human rights programs
Introduction
Data analysis fundamentals
variables’ types
Basic evaluation
preparing for the examination of qualitative data
examining the data
Data organization
the data is coded
An introduction to utilizing software for qualitative data analysis (NVivo)
TOPIC 7: Data summarization
Discrete variable numerical summaries
Tables for variables with two values
Categorical variable tables
Ordinal variable tables
Graphs and charts for categorical and dichotomous variables
Visualizations of ordinal variables
Summary statistics for continuous variables are tabulated
Visual representations of continuous variables
TOPIC 8: Introduction to the qualitative analysis of human rights data
Preparing for the examination of qualitative data
Examining the data
Data organization
Data coding
An introduction to utilizing software for qualitative data analysis (NVivo)
TOPIC 9: Analysis of Quantitative Data
Preparing for the examination of qualitative data
Package comparisons for data analysis
Statistical analysis fundamentals
Checking the data for normalcy
Select the appropriate statistical test
Testing hypotheses
Confidence limits
Statistical significance tests (parametric and non-parametric tests)
Confidence intervals versus hypothesis testing
Analyzing  data
TOPIC 10: Evaluation of programs related to human rights
Choosing assessment points based on the results framework, implementation, and process evaluations
Evaluation strategies
Process for evaluating performance
Sharing and disseminating evaluation findings
TOPIC 11: Impact Evaluation
Impact assessment introduction
Impact evaluation during program design
Using attribution when assessing impact
Impact assessment techniques
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TOPIC 12: Utilizing and Disseminating M&E Results
Using M&E results to strengthen and improve programs pertaining to human rights
M&E Use: Lessons Learned and Recommended Practices
Reporting on M&E
Resilience intervention design, tracking, and evaluation