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大型研究指南。

A guide to megastudies.

作者信息

Duckworth Angela L, Milkman Katherine L

机构信息

Department of Operations, Information and Decisions, The Wharton School, University of Pennsylvania, Philadelphia, PA 19104, USA.

Department of Psychology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19104-6018, USA.

出版信息

PNAS Nexus. 2022 Oct 7;1(5):pgac214. doi: 10.1093/pnasnexus/pgac214. eCollection 2022 Nov.

Abstract

How can behavioral insights best be leveraged to solve pressing policy challenges? Because research studies are typically designed to test the validity of a particular idea, surprisingly little is known about the relative efficacy of different approaches to changing behavior in any given policy context. We discuss megastudies as a research approach that can surmount this and other obstacles to developing optimal behaviorally informed policy interventions. We define a megastudy as "a massive field experiment in which many different treatments are tested synchronously in one large sample using a common, objectively measured outcome." We summarize this apples-to-apples approach to research and lay out recommendations, limitations, and promising future directions for scholars who might want to conduct or evaluate megastudies.

摘要

如何才能最好地利用行为洞察来解决紧迫的政策挑战?由于研究通常旨在检验某个特定观点的有效性,所以在任何给定的政策背景下,对于改变行为的不同方法的相对有效性,我们所知甚少。我们将大规模研究作为一种研究方法进行讨论,这种方法能够克服在制定最佳行为导向政策干预措施时遇到的这一障碍及其他障碍。我们将大规模研究定义为 “一项大规模的实地实验,其中许多不同的处理方式在一个大样本中同步进行测试,并使用一个共同的、客观测量的结果”。我们总结了这种同类研究方法,并为可能想要开展或评估大规模研究的学者列出建议、局限性和有前景的未来方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d67f/9802435/8c20ff56a3d6/pgac214fig1.jpg

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