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Logical Framework Approach: Overview and Application

The Logical Framework Approach (LFA) was first designed by USAID (the United States overseas development agency) in the 1960s. It was employed for numerous bilateral and multilateral programs of the...

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5 ways to improve data quality

A key feature of any data collection exercise is to create a medium for quality data to be collected and processed for insightful and impactful decision-making. There are some steps that researchers...

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External Validity in Impact Evaluation: Overview, Importance, and Ways to...

One of the key questions, which comprises the soul of impact evaluation, is the attribution question to ascertain a specific intervention’s treatment effect. One must establish whether or not one...

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How to frame survey questions that the audience will actually answer

Evidence-based policymaking requires robust databases that help policymakers approach welfare empirically and logically. Analyzing the data collection process will show just how important survey...

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Steps to Effectively Conduct Telephonic Surveys

High-quality data is the most integral part of the world’s policy-making process. Face-to-face interviews with respondents have been the most reliable interview method for high-quality data with a...

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Challenges of Using Technology in MEL

In the last decade, the use of technology in monitoring, evaluation, and learning has become commonplace to support systematic inquiry into interventions, their impact, and evidence-based policymaking....

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Coding Our Way to a Brighter Future

Think back to March 2020, when COVID-19 became our problem, threatening our lives, livelihoods, and society. Our masked faces breathed in air laced with misinformation and panic. Every day, we saw the...

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Incorporating the Global South’s Perspective into Evaluation

Many argue that dominant development discourses do not consider the Global South’s perspectives. However, such a perspective holds significance, primarily since it provides a unique and valuable...

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How Line Graphs Can Help You Understand Your Data Better

Having deciphered historical data visualizations over the past few weeks, we are now interested in discussing seemingly simple graphs to decode the complex information they can display. Line graphs are...

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Understanding Control Group and Its Utility

An essential element in development is successfully applying findings derived from scientific experiments. More often than not, designs for comparative experiments include an experiment group and a...

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