Our library of practical resources is intended for researchers and research staff undertaking randomized evaluations, as well as those teaching the technique to others, and anyone interested in how randomized evaluations are conducted.
Incorporating lessons learned through our own experience and through guidance from researchers and research organizations, we provide practical advice for designing, implementing, and communicating about evaluations. These resources are a collaborative effort. We credit the authors of all the resources we post here, and link to their original work wherever possible.
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Sampling
This section details the process of constructing a study sample. It covers sampling methods, practical steps for creating sampling frames, and sample code. See the randomization resource for details...
The elements of a randomized evaluation
This resource presents a high-level overview of the steps of a randomized evaluation, while showcasing a selection of our teaching and learning tools that were created as part of our online and in...
Les composantes d’une évaluation aléatoire
Cette ressource propose un aperçu général des différentes étapes dont se compose une évaluation aléatoire, et présente en parallèle une sélection d’outils pédagogiques conçus dans le cadre de nos...
Checklist for launching a randomized evaluation in the United States
J-PAL North America’s Evaluation Toolkit is intended for researchers, research managers, research assistants, and students trained in economic theory and research design who are preparing to launch a...
Check-list pour le lancement d’une évaluation aléatoire aux États-Unis
L’Evaluation Toolkit de J-PAL Amérique du Nord s’adresse aux chercheurs, aux chefs de projet, aux assistants de recherche et aux étudiants formés à la théorie économique et à la méthodologie de la...
Communicating with a partner about results
Randomized evaluations require collaboration and communication between many stakeholders, including academic researchers, research staff, implementing partners, holders of administrative data...
Communiquer avec un partenaire à propos des résultats
La réalisation d’une évaluation aléatoire implique une collaboration étroite et une communication régulière entre des acteurs multiples : chercheurs universitaires, personnel de recherche, partenaires...
Formalize research partnership and establish roles and expectations
This resource outlines steps to establish and build a strong working relationship with an implementing partner at the beginning of a randomized evaluation. Topics include questions to consider when...