ar-mel (action research, monitoring evaluation and learning) is a think-tank that supports NGOs, governments and UN agencies evidence-based decision making.

Research, Monitoring & Evaluation

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Expertise

Overview

Over the last decade, our think-tank members have successfully completed various assignments across different domains, such as Health, Education, Gender Equality, Climate Change, Peacebuilding, Social Cohesion, and Child Protection, among others. Our work has generated relevant evidence that has aided community members and international development organizations in making informed decisions.

Baseline studies
Baseline studies collect data at the beginning of a project (or activity) to establish pre-project conditions against which future changes in ...
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Midterm Evaluation (MTEs)
MTEs are designed to assess the continued relevance of an intervention ....
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End of Project Evaluation (EoPE)
End of project evaluation (EoPE) intends to give feedback on achievement of project objectives, effectiveness of project ...
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Impact Evaluation
The assessment of both positive and negative, primary and secondary long-term effects resulting from a ...
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Needs Assessments
Needs assessment involves gathering and analyzing information pertaining to the needs of impacted populations.
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Experimental and longitudinal studies
Experimental studies randomly assign participants to treatment and control groups ...
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Comprehensive Gender Analysis (CGA)
The Comprehensive Gender Analysis (CGA) is used to give teams a deeper understanding ...
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Most Significant Change (MSC) Analysies
In recent years, MSC has gained acceptance as a popular M&E approach, especially among ...
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Conflict Analyses
Our conflict assessment methodology has thus far emphasized analyzing (a) Conflict Structures, encompassing concerns of security ...
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Third-Party Monitoring (TPM)
Third-party monitoring enables organizations to oversee projects inaccessible to their own staff due to ...
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Value for Money (VfM) Analyses
Determining if programs or activities provide value for money is pertinent to national governments, international donors, ...
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Data Quality Reviews (DQR)
Sound decisions rely on high-quality data, which is why it's crucial to ensure the data are of good quality. The Data Quality
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Baseline studies
Baseline studies collect data at the beginning of a project (or activity) to establish pre-project conditions against which future changes in ...
Learn More
Midterm Evaluation (MTEs)
MTEs are designed to assess the continued relevance of an intervention and the progress made toward achieving its ...
Learn More
End of Project Evaluation (EoPE)
End of project evaluation (EoPE) intends to give feedback on achievement of project objectives, effectiveness of project ...
Learn More
Impact Evaluation
The assessment of both positive and negative, primary and secondary long-term effects resulting from a development intervention, either intended or unintended, ...
Learn More
Needs Assessments
Needs assessment involves gathering and analyzing information pertaining to the needs of impacted populations.
Learn More
Experimental and longitudinal studies
Experimental studies randomly assign participants to treatment and control groups ...
Learn More
Comprehensive Gender Analysis (CGA)
The Comprehensive Gender Analysis (CGA) is used to give teams a deeper understanding of women and men’s lived ...
Learn More
Most Significant Change (MSC) Analysies
In recent years, MSC has gained acceptance as a popular M&E approach, especially among ...
Learn More
Conflict Analyses
Our conflict assessment methodology has thus far emphasized analyzing (a) Conflict Structures, encompassing concerns of security ...
Learn More
Third-Party Monitoring (TPM)
Third-party monitoring enables organizations to oversee projects inaccessible to their own staff due to ...
Learn More
Value for Money (VfM) Analyses
Determining if programs or activities provide value for money is pertinent to national governments, international donors, ...
Learn More
Data Quality Reviews (DQR)
Sound decisions rely on high-quality data, which is why it's crucial to ensure the data are of good quality. The Data Quality Review (DQR) protocol ...
Learn More