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Showing posts from April, 2025

Three Misunderstandings About Research Limitations

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Limitations are not something to fear or hide. They are essential for transparent and trustworthy findings.  Over time, I have noticed quite a few misunderstandings when it comes to including limitations in research reports.  This week, I would like to discuss three big ones that I often see: 1. Being reluctant to disclose the limitations. 2. Treating Limitations as a proposal checkbox 3. Discussing limitations at the very end Read the full details in the document below. Next week, I would love to talk about how we can better manage these challenges and properly document limitations in a way that strengthens our reports, not weakens them.   Hnin Ei Lwin #Mon itoring   #Evaluation   #Reporting   #Research   #MEARL #social   #development   #humanitarian   #publichealth   Explore a collection of my content/posts on this website:  https://hnineilwinnotes.blogspot.com

Data Quality in Emergencies: Field-Level Challenges and Mitigation Strategies

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In emergency response, the quality of our data and reporting plays a critical role in how we plan, allocate resources, and respond to people in urgent need. High-quality data helps ensure our actions are informed, timely, and equitable. However, when data collection methodologies are weak or inconsistent, the consequences can be significant: - Data may not be valid, leading to unreliable conclusions. - Assessments may be inaccurate or unnecessarily repeated. - Accessible areas are often oversampled, while harder-to-reach communities are left out. - Vulnerable groups risk being excluded. - Programs may rely on assumptions rather than actual evidence. To support field teams and strengthen MEARL practices in these complex environments, I developed a contextualized resource that outlines key challenges and practical mitigation strategies for rapid needs assessments in conflict-affected emergencies. While grounded in the Myanmar context, I believe the insights are relevant across many hum...