This resource is a brief introduction to conducting field research that distills many years of implementation experience. It is geared towards new PIs (Principal Investigators), such as graduate students or post docs, but may be useful for more seasoned researchers and research staff as well. While...

The first step in embarking on a research project is often writing the grant proposal to fund it. Outside of securing funding for your project, the main purpose of the grant is to lay out your research question and methodology, explain its value to the research and/or policy community, and...

This resource is intended as a practical guide for researchers to use when considering the ethics of a given research project. It draws heavily from J-PAL’s own ethics training for research staff and Rachel Glennerster and Shawn Powers’s chapter in the Oxford Handbook of Professional Economic Ethics...

This resource provides guidance for researchers wishing to register their study in a public trial registry. We list common social science registries and registration policies of common funders and economics journals. We additionally describe registration considerations such as the level of detail to...

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 registering a research project in a registry such as the AEA RCT Registry before the intervention begins...

Randomization for causal inference has a storied history. Controlled randomized experiments were invented by Charles Sanders Peirce and Joseph Jastrow in 1884. Jerzy Neyman introduced stratified sampling in 1934. Ronald A. Fisher expanded on and popularized the idea of randomized experiments and...

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-in commands or simulation. It assumes some knowledge of statistics and hypothesis testing. Readers...

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 draw valid conclusions. This section covers key measurement concepts, means of data collection...

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.