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
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.
Pre-analysis plans
A pre-analysis plan (PAP) describes how researchers plan to analyze the data from a randomized evaluation. It is distinct from the concept of pre-registration, which in economics is the act of...
Power calculations
This section is intended to provide an intuitive discussion of the rationale behind power calculations, as well as practical tips and sample code for conducting power calculations using either built...
Introduction to measurement and indicators
The goal of measurement is to get reliable data with which to answer research questions and assess theories of change. Inaccurate measurement can lead to unreliable data, from which it is difficult to...
Survey design
This section covers the essentials of survey design. It includes an overview of survey development, practical tips, formatting suggestions, and guides to translation and quality control.
Survey logistics
Managing a survey is a massive logistical undertaking. This resource, and the other resources under survey data collection, describes the decisions to make and processes to set up in advance to...
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...
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...
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...