Articles
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Research and Evaluation – The Article
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.
New Template: Stratified Sampling Tool (Single Strata)
Discover our new Stratified Sampling Tool template, designed for researchers and evaluators working with large datasets. Learn how to generate representative samples, ensure fair subgroup representation, and increase precision in your data collection. Includes both single strata and multiple stratum versions with step-by-step instructions.
10 Tips for Making Your Evaluation Report More Accessible
Discover 10 practical tips for creating more accessible evaluation reports. This guide covers key aspects of accessibility, including color contrast, font choices, alt text, and plain language. Learn how to make your reports more inclusive and readable for all audiences, including those with disabilities or using assistive technologies.
Beyond Biases: Insights for Effective Evaluation Reporting
Explore how cognitive biases impact evaluation practice. Drawing insights from Hans Rosling's "Factfulness," this article examines 10 common mental shortcuts that can affect data analysis, reporting, and decision-making in evaluation. Learn practical strategies to overcome these biases and improve your evaluation methods.
Evaluation as self-care for your program
Discover how evaluation serves as essential self-care for your program. Just as individuals benefit from reflection and enhancement, our programs thrive with regular evaluation to assess strengths, monitor progress, and promote ongoing improvement. Explore how integrating evaluation into your program’s routine can enhance resilience, streamline operations, and ensure long-term viability.
How to spot common budgeting pitfalls.
Evaluations of any size tend to need to adhere to budgets, whether for financial or human resourcing constraints. There are certain pitfalls that can quickly derail your budget. This article will guide you through some of the most common budget pitfalls to help you plan and support you to stay on budget throughout your evaluation.
5 tips for ensuring interviewer safety.
In this article, we highlight the importance of ensuring interviewer safety to make the interview experience effective for collecting data and a positive experience for everyone involved!
So you want to be a CE: How to become a Credentialed Evaluator
In the first article of this installment, we covered what the CE designation is and is not, and talked a little bit about why you might get it. In this article, we will explore what you need to do to gain your CE designation.
What’s the Difference: Bias versus Confounding?
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.
What you need to know about member checking
While 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.
So you want to be a CE: What is a Credentialed Evaluator?
At Three Hive Consulting & Eval Academy, we pride ourselves on being led by three Credentialled Evaluators. But what is a CE? What does it mean?
A starter pack of presentation tools (4 min read)
Are you looking to elevate your presentation game? In this article, we list some awesome presentation tools along with ideas for how to use them in your evaluation practice.
Sampling bias: identifying and avoiding bias in data collection
Bias 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.