Streamline your data analysis process with our Analyst Quality Assurance Notes, Checklist, and Style Guide Template! This tool helps you document data-related assumptions, decisions, and analytic steps in one organized file.

Explore the key differences between research and evaluation in this comprehensive guide. Learn about their distinct goals, methodologies, data collection and analysis approaches, and reporting styles. Ideal for professionals and students looking to understand the unique roles of research and evaluation in advancing knowledge and improving programs.

Monitoring survey data as it unfolds can be hugely beneficial in understanding the reach and performance of your online survey. However, creating and updating these reports can be time consuming, and take away from larger analysis and reporting tasks. Learn how to use Qualtrics’ built-in reporting feature to streamline and automate your incoming data reports here.

Unlock 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.

This infographic is for those who are new to the field of evaluation and want to learn more about it. The purpose of the infographic is to provide newcomers with valuable resources that answer three important questions about evaluation. The infographic includes a one-page PDF with clickable links to relevant resources, making it easy for beginners to explore and learn more about evaluation.

Choosing 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.

This article walks you step-by-step through the process we use when merging datasets from multiple sources.

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.