Research Resources

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] with questions or feedback.

Please note: this site is a beta version and is undergoing final testing before its official release.

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Introduction to Randomized Evaluations

Resources

Section Summary

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

Section Summary

Tips on successful field management and implementation partnerships for researchers who are new to fieldwork.

Project Planning

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Section Summary

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

Section Summary

Those designing a survey for the first time may find Introduction to measurement and indicators and Survey design useful. We provide best practices for ensuring randomization is stable, verifiable, and replicable, with related Stata commands.

Data Collection

Resources

Section Summary

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.