Discover our favourite list of free resources to learn qualitative data coding, including step-by-step tutorials and practical guides. Use this list to improve your ability to analyze non-numerical data effectively for research and evaluation purposes.
Read MoreIn this article, we'll show you an easy way to align y-axis labels in Excel charts and Microsoft applications. It's a simple but important step to make sure your data visualizations are clear and accurate.
Read MoreCheck out the top 10 articles + top 10 resources of 2023 from Eval Academy!
Read MoreData protection in the world of evaluation is a must, especially when handling personally identifiable information (PII). Want to learn how to safeguard your data effectively? Discover the essential steps, including encryption and anonymization, to ensure your PII is shielded from unauthorized access, all while staying compliant with regulations.
Read MoreIt’s time to embrace long reports! This article confesses my love for lengthy reports. Why? Because they're more than just data – they're knowledge preservation. Long reports have a place in our world, serving multiple roles, from building capacity to promoting transparency. Learn more about the value of extensive reports in this article.
Read MoreWhile traditional bar charts are both straightforward and powerful for data representation, there are instances when we seek innovative alternatives to breathe new life into our reports. Enter the lollipop chart. Learn how to develop them in Excel here.
Read MoreUnlock the Potential of Power Query in Excel for Effortless Data Preparation! In this article, we demystify the art of transforming raw data into actionable insights. With step-by-step instructions and hands-on examples, you'll master the essential skills to save time, reduce errors, and supercharge your data analysis.
Read MoreIn this first instalment of our Data Visualization Applications series, we'll guide you through the art of transforming raw data into compelling visualizations. We kick things off by delving into the power and simplicity of the bar chart. By following these steps and best practices, you'll elevate your charts to ensure your data speaks clearly and convincingly. Stay tuned for more insights and techniques in our Data Visualization Applications series.
Read MoreWant visuals that best express your data story? Here are some ideas to clean up those charts and help make them pop.
Read MoreChoosing the right type of chart to display your data can help to improve clarity among your readers and lessens the likelihood that your findings may be misinterpreted. With so many different types of charts and graphs, it can be tough to know where to start. This infographic is for anyone who wants to clearly display their quantitative data in a meaningful way but isn’t sure how to pick the best chart for the job.
Read MoreA codebook for qualitative research is a stand-alone document that contains a list of themes, codes, and definitions that you are using in your qualitative analysis. This article outlines the structure of a qualitative codebook as well as steps to follow to create your own.
Read MoreThis article walks you step-by-step through the process we use when merging datasets from multiple sources.
Read MoreData are only useful when used! They do no good buried in reports, sitting on shelves (or shared drives) hidden away. Data, particularly data from an evaluation, are begging to be discussed, contemplated, and put into action! This article discusses some ways to make sure your data are used.
Read MoreIn 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 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 MoreYou’ve completed your qualitative data collection and you’re writing up your report. You step back and look at All. The. Text. If only you had some quantitative data to include in a chart, or some numbers to report! In this article, we talk about 3 ways you can quantify your qualitative data.
Read MoreData integration is a way of merging these data from different sources through mixed methods. In this article, we discuss how qualitative and quantitative data can be integrated at the study design level, methods, or analysis level.
Read MoreThis article supports evaluators who are new to qualitative data analysis. We start by defining thematic analysis, then give you a 5-step process to complete your own analysis. We end the article by highlighting some common challenges with thematic analysis.
Read MoreSo you've successfully gathered the data you need to evaluate your program. But how do you engage stakeholders and partners to ensure a thorough understanding of the results? A data party could be part of the answer!
Read MoreIf you work with data in Excel, whether frequently or infrequently, learning the basics of PivotTables will improve your ability to quickly explore and analyze raw data.
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