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Training on Monitoring and Evaluating for Human Rights Programmes

By: Data-Afrique Consultants

Kenya

09 - 20 Sep, 2019  12 days

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USD 2,000

Venue: Data-Afrique Training Centre, Nairobi, Kenya

Monitoring and evaluation (M and 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 and E professionals who are actively engaged in the human rights sector, this two-week programme will provide hands-on training in M and E systems and the application of M and E data to decision making in human rights programming. The workshop offers intensive training that will cover the fundamental concepts and tools for M and 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.

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 and E fundamentals

  • What is M and E?
  • M and E Plans
  • M and 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 and E frameworks in the respect of human rights

  • M and E Frameworks basics for human right based programmes
  • M and E in a human rights context
  • M and E Frameworks
  • Developing and operationalizing M and 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 and E Results Use and Dissemination
  • Use of M and E results to improve and strengthen Human rights-related programmes
  • Use of M and E Lessons learned and best practices
  • M and 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.

We can also do this as tailor-made course to meet organization-wide needs.

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.

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
Data-Afrique Training Centre, Nairobi, Kenya Sep 09 - 20 Sep, 2019

Registration: 08:30:am - 08:30:am

Class Session: 08:00:am - 04:00:am

USD 2,000.00
(Convert Currency)

DUNCAN KARIUKI +254723360025

DATA-AFRIQUE CONSULTANCY
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