How can we incorporate diversity, equity and inclusion in evaluation

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.

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The Data Cleaning Toolbox

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.

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From data to actionable insights

As evaluators, we are rarely organizational decision-makers; it is our job to provide those decision-makers with actionable insights. In this article we highlight how you can translate data into meaningful findings, or insights, so you can support decision-makers to drive action within their organizations.

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Evaluation Report Inspiration: Excerpts From A Breast Cancer Clinic Evaluation

A few years ago, we completed an evaluation for a breast cancer clinic. In honour of Breast Cancer Awareness month, we thought we would highlight some excerpts from that report to help inspire your next evaluation report!

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Scope Creep: When to Indulge it, and When to Avoid it

Ideally, our evaluation projects would proceed as planned. But as all project managers know, sometimes things change. Actually, most of the time, things change! In some situations, our evaluation approach can be modified to adapt to the changing context, but in others, we have to say no to scope creep.

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Consent Part 1: What is Informed Consent

As an evaluator, a big part of our role is to collect data. Sometimes that data comes from administrative databases that require data sharing agreements, but sometimes it comes from people, who need to consent to sharing their information (or data) with you. So let’s talk about what consent is (and isn’t).

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Data Dictionary: the what, why and how

It is ideal to have a data dictionary whenever you have quantitative data that will be used and shared by multiple people or groups. Without precise definitions, it is very easy to arrive at different results while using the same dataset. In this article, we focus on how evaluators can (and should) clarify details about the data being used for evaluation. In other words, how and why build an evaluation-specific data dictionary.

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Six lessons from practicing “true” developmental evaluation

I am now finally working on an evaluation that I believe to be true developmental evaluation. The initiative and evaluation is in its early days. Yet, I have already had a very different experience than previous DE (and so-called DE) experiences and learned a number of lessons I’d like to share. In this article, I outline six lessons from my DE experience, including why I think it is true DE.


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Does my program need a dashboard?

When I hear “we need a dashboard,” what I hear is “we need relatively current information that we can quickly understand and trust, and we want it on one page.” But a dashboard may or may not be the best way to fulfill that need. Here, I’ll clarify what a dashboard is, and what it isn’t, then provide a checklist you can use to decide if your program or organization needs one.


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