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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Surveyor hiring and training
This resource focuses on in-house data collection. Information about outsourcing to survey firms is available in the resource on working with third party firms.
Running a large-scale household survey...
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...
Working with a third-party survey firm
This resource provides guidance on when to work with an external survey firm, the process of identifying and contracting a firm, and how to coordinate tasks to ensure a successful study. It highlights...
Questionnaire piloting
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...
Survey programming
This resource covers best practices for programming a survey using computer assisted personal interview (CAPI) software. We primarily rely on examples using SurveyCTO, which is widely used by J-PAL...
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 cleaning and management
Although quality control checks in the field should catch most errors in data collection, there are a number of steps you will have to undertake to prepare your collected data for analysis. This...
Data visualization
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...