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.
Please reach out to us at [email protected] or fill out this form with questions or feedback.
Introduction to Randomized Evaluations
Resources
A non-technical overview and step-by-step introduction for those who are new to randomized evaluations, as well as case studies and other teaching resources.
Before Starting a Project
Resources
Tips on successful field management and implementation partnerships for researchers who are new to fieldwork.
Project Planning
Resources
Highlights include: annotated checklist for designing an informed consent process, detailed advice on grant proposals and budgeting, and suggestions for proactive measures to help ensure ethical principles are followed in research design and implementation.
Research Design
Resources
Data Collection and Access
Resources
This section contains guidance specific to working with surveyors or survey companies, information about administrative data collection, and information applicable to all modes of data collection, such as on data security, data quality, and grant management.
Processing and Analysis
Resources
All the steps in a research project after the data was collected or assembled, from data cleaning to communicating results.
Analyse des données
Ce guide offre une présentation générale de la phase d’analyse des données en vue d’estimer l’impact causal dans le cadre d’une évaluation aléatoire. Son objectif est de fournir un point de départ et...
Data de-identification
Researchers who plan to publish data on human subjects should take careful steps to protect the confidentiality of study participants through data de-identification—a process that reduces the risk of...
Désidentification des données
Les chercheurs qui prévoient de publier des données sur des sujets humains doivent prendre des mesures strictes pour protéger la confidentialité des participants à l’étude en procédant à la...
Data publication
J-PAL promotes the publication of de-identified data from randomized evaluations 1. This resource provides guidance on doing so in the form of a checklist for preparing data for submission. It also...
Publication des données
J-PAL soutient la publication des données désidentifiées issues d’évaluations aléatoires. Dans cette perspective, la présente ressource contient une check-list pour aider les chercheurs à préparer...
Real-time monitoring and response plans: Creating procedures
When an unintended change arises in a study of a social program or policy, there is often a limited window during which to address it. Systematic monitoring plans can equip researchers and program...
Plans de suivi en temps réel et d’intervention : Élaborer des procédures
Lorsqu’un changement imprévu survient dans le cadre d’une étude portant sur un programme ou une politique sociale, le temps disponible pour y remédier est souvent limité. Des plans de suivi...
Using administrative data for randomized evaluations
Administrative data is information collected, used, and stored primarily for administrative (i.e., operational), rather than research, purposes. These data can be an excellent source of information...