
Articles
Explore our latest articles, developed by our team of evaluators and special guests, grounded in real-world experience to support your evaluation practice—whether you're a beginner or an expert.
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Making Small Samples Work
Learn how to analyze with a small sample size of a handful of responses. This article discusses how to uncover valuable insights while communicating results with transparency.
Stratified Random Sampling In Evaluation
Enhance evaluation precision through Stratified Random Sampling—a method that partitions populations into subgroups for nuanced insights. Whether adopting proportionate or disproportionate approaches, this strategy fosters inclusivity and robust representation, enriching the evaluative process, learn about it in this article.
Sampling Bias: Identifying And Avoiding Bias In Data Collection
Bias in evaluation is inevitable. Reflection helps us to identify our bias and when we do, it is necessary to identify sources of bias in our processes, eliminate which bias we can, and acknowledge which bias we cannot.