Randomized evaluations require collaboration and communication between many stakeholders, including academic researchers, research staff, implementing partners, holders of administrative data, policymakers, and the community. These stakeholders have diverse viewpoints and specialized vocabularies...

This resource provides guidance for evaluations that use technology as a key part of the intervention being tested. Examples of such interventions might include automated alerts embedded into an Electronic Medical Record, or a text messaging platform facilitating communication between teachers and...

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 staff to detect changes and make course corrections in real time if elements of the study deviate from...

Far from a simple administrative step, decisions about a study’s intake and consent process are critical for the success of a study. This process can affect statistical power, bias, and the validity of the study through effects on the composition of the consented study sample, the intake/consent...

This resource is intended for researchers who are designing and assessing the feasibility of a randomized evaluation with an implementing partner. We outline key principles, provide guidance on identifying inputs for calculations, and walk through a process for incorporating power calculations into...

This checklist provides guidance on the logistical and administrative steps that are necessary to launch a randomized evaluation that adheres to legal regulations, follows transparency guidelines required by many academic journals, and complies with security procedures required by regulatory or...

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 prospective randomized evaluation. Research organizations have published a number of useful...

This resource guides researchers through background research and early discussions with a program implementer who has expressed interest in a randomized evaluation, and with whom a partnership seems potentially viable. It provides guidelines for researchers to conduct early conversations with twin...

Implementing partners and researchers should work closely together during the study design phase of a randomized evaluation to create a feasible implementation strategy. This resource is intended to provide a framework for researchers making study design decisions with their partners. The general...

This page compiles links to resources on software, user-written commands for randomized evaluations, coding in teams, and writing reproducible code. User-written commands listed below include common checks for randomized evaluations and faster versions of frequently used commands in Stata and R.