In every research and evaluation project, it is important to identify and address sources of error that may impact the accuracy of your findings and the relevance of your recommendations. Here, we will look at what bias and confounding are (and are not), the differences between them, and important considerations to take to prepare for and address both in your next evaluation project.
Read MoreEval Academy just released a new tip sheet for Conducting Interviews. If you will be conducting interviews in your evaluation, then this tip sheet is for you! Whether you’re new to the process or have conducted interviews before, this tip sheet provides a good overview and refresher to make your next interview experience a great one.
Read MoreEval Academy just released a new infographic about qualitative data saturation. This infographic is for those who collect or who will be collecting qualitative data and are looking to support the validity of their results. It’s a helpful resource for those who are both new and experienced in evaluation!
Read MoreWhile member checking is commonly used in qualitative research, it’s less commonly used in evaluation and we think that should change! In this article, we’ll review what member checking is and why, when, and how you should use it.
Read MoreCheck out the top 10 posts of 2022 from Eval Academy.
Read MoreBias 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.
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