You’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.

Criteria Based Ranking is one tool evaluators can use to facilitate critical thinking and some level of precision in decision making. In this article, we explain what criteria-based ranking is and how we used it in developmental evaluation.

Data 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.

For those interested in calculating sample sizes by hand, or getting a better understanding of the math behind many sample size calculators, we outline the formulae used to calculate sample sizes.

In this article, we briefly define sample sizes, their importance, and how to calculate them (or how to use a tool to calculate them).

In the evaluation world, scheduling can be a nightmare. This article describes how to use Calendly to schedule interviews in three simple steps.

In this article, we describe what assumptions are in evaluation, explain why you should document assumptions, and describe how to reflect on your assumptions when collecting and analyzing evaluation results. We also provide some practical examples of how to include assumptions in your own evaluations!

This 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.

This evaluation facilitation series will highlight some of these facilitation activities and how I have applied them over the years. This article focuses on their “Making Metaphors” activity, along with some step-by-step instructions you can use to try it in your own evaluations.

A look at how using different evaluation strategies or frameworks can help you to craft perfect evaluation questions.

A book review of Michael Quinn Patton’s Developmental Evaluation: Applying Complexity Concepts to Enhance Innovation and Use (2011).

So 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!

The Likert scale is one of the more commonly used rating scales in surveys. As evaluators, we should know a thing or two about it, and how to navigate some of the decisions involved in using a Likert scale.

If 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.

Part of the job of an evaluator is to identify and define metrics for our clients. But what about you? Are you as disciplined when it comes to defining and tracking metrics for your own business?

Every evaluation is different, but there are a few topics that should be covered in every kick-off meeting.

To celebrate the end of the year, we thought we’d highlight Eval Academy’s top posts of 2021.

Welcome to our monthly roundup of new and noteworthy evaluation news and resources – here is the latest from November 2021.

Recognizing that equitable evaluation is an emerging area of work, this article aims to add to the growing discussion. While it does not include an exhaustive list of issues and strategies, it will help you introduce some changes to your evaluation practice.

The end goal of collecting data is to eventually draw meaningful insights from said data. However, the transition from raw data to meaningful insights is not always a linear path. Data are prone to human-error and this guide will help you correct those errors, as well as provide tips on how to minimize these errors in the future.