Ressources pour la recherche aléatoire

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Ressources pour la recherche aléatoire

Ce catalogue de ressources pratiques, produit par J-PAL en collaboration avec IPA, est mis à disposition des chercheurs qui entreprennent des évaluations aléatoires et aux professionnels qui enseignent cette technique.

Guide to De-Identifying Data

Researchers who plan to publish data on human subjects should take careful steps to protect the confidentiality of study participants through data de-identification—a process that reduces the risk of re-identifying individuals within a given dataset. This guide provides further details on the de-identification process, including various procedures for de-identifying a dataset, a list of common identifiers that need to be reviewed, and sample code that can be used to de-identify data intended for publication. It is intended to be used alongside the accompanying Guide to Publishing Research Data.

Guide to Publishing Research Data

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 includes sample informed consent language and other considerations during project planning and before publication, and provides a description of trusted digital repositories that can host data. This guide is intended to be read alongside the accompanying Guide to De-Identifying Data.

Slides: Generalizability Framework

A Practical Guide to Measuring Women and Girls’ Empowerment in Impact Evaluations

This guide offers practical tips for how to measure women and girls’ empowerment in impact evaluations.

A Practical Guide to Measuring Women and Girls’ Empowerment in Impact Evaluations: Appendix 1

Appendix 1 of A Practical Guide to Measuring Women and Girls’ Empowerment in Impact Evaluations provides a catalogue of examples of survey questions and modules related to women and girls’ empowerment that have been used by J-PAL affiliated researchers in previous impact evaluations.

A Practical Guide to Measuring Women and Girls’ Empowerment in Impact Evaluations: Appendix 2

Appendix 2 of A Practical Guide to Measuring Women and Girls’ Empowerment in Impact Evaluations includes examples of non-survey instruments that can be used to measure women’s empowerment, pros and cons for each approach, and tips on how to use them.

Six Rules of Thumb for Determining Sample Size and Statistical Power

A guide for policymakers and practitioners that outlines the main factors that affect statistical power and sample size, and demonstrates how to design a high-powered randomized evaluation.