使用在线实验研究选举说服

Thomas J. Leeper
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引用次数: 0

摘要

在线实验方法已成为当代社会科学研究的重要组成部分。然而,这种方法也存在争议,实验也经常被误解。本章通过解释因果推理的实验设计逻辑,介绍了在线实验作为一种方法。虽然实验几乎可以在任何环境中进行,但在线实验倾向于采取两种形式:在线调查实验和自然在线环境中的实验。本章讨论了这些类型相对于彼此以及相对于其线下类似物的优缺点,并展示了实验用于了解政治行为、媒体和竞选动态以及公众舆论的方法。本章强调内部效度、实验现实主义和外部效度之间的权衡,展示了研究人员如何将在线平台与随机化结合起来,以深入了解在线和离线现象。虽然实验有时被看作是为了内部有效性而权衡外部有效性,但这并不是对所有实验工作的准确描述。相反,在线实验存在于不同程度上权衡这些特征的频谱上。这些权衡带来了与实验控制、实验结果跨环境、单位、治疗和结果的普遍性以及在线实验的伦理相关的关键挑战。本章最后提出了未来的研究如何创新地超越现有的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Studying Electoral Persuasion Using Online Experiments
Online experimental methods have become a major part of contemporary social science research. Yet the method is also controversial and experiments are frequently misunderstood. This chapter introduces online experimentation as a method, by explaining the logic of experimental design for causal inference. While experiments can be deployed in almost any setting, online experiments tend to take two forms: online survey experiments and experiments in naturalistic online environments. Discussing the advantages and disadvantages of these types relative to each other and relative to their offline analogues, the chapter demonstrates ways that experimentation has been used to learn about political behavior, media and campaign dynamics, and public opinion. Emphasizing trade-offs between internal validity, experimental realism, and external validity, the chapter demonstrates how researchers have used online platforms in tandem with randomization to gain insights into both online and offline phenomena. Though experiments are sometimes seen as trading off external for internal validity, this is not an accurate depiction of all experimental work. Rather, online experiments exist on spectrums that trade-off these features to varying degrees. And with those trade-offs come key challenges related to experimental control, the generalizability of experimental results across settings, units, treatments, and outcomes, and the ethics of online experimentation. The chapter concludes by suggesting how future research might innovatively push beyond existing work.
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