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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Introduction to Randomized Evaluations
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
Tips on successful field management and implementation partnerships for researchers who are new to fieldwork.
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.
Data Collection and Access
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
All the steps in a research project after the data was collected or assembled, from data cleaning to communicating results.
Grant and budget management
This resource covers practical advice on managing grants for principal investigators (PIs) and research staff. We include overarching tips to help ensure smooth grant management throughout the project...
Field team management
This section discusses the logistics of managing surveyors and survey teams. Depending on the field team size, you may need to set up processes to manage upwards of 50 field staff. Thinking ahead...
Piloting is the testing, refining, and re-testing of survey instruments in the field to make them ready for your full survey. It is a vital step to ensure that you understand how your survey works...
Data quality checks
High-frequency checks, back-checks, and spot-checks can be used to detect programming errors, surveyor errors, data fabrication, poorly understood questions, and other issues. The results of these...
Data visualization can be helpful at many stages of the research process, from data reporting to analysis and publication. Relative to regression tables, cross-tabs, and summary statistics, data...
This guide provides an overview of data analysis for randomized evaluations in order to estimate causal impact. It is intended to provide something of a starting point and orient individuals not...
J-PAL promotes the publication of de-identified data from randomized evaluations. This resource provides guidance on doing so in the form of a checklist for preparing data for submission. It also...
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...