Discrete choice experiments: a primer for the communication researcher.

IF 1.5 Q2 COMMUNICATION
Frontiers in Communication Pub Date : 2025-01-01 Epub Date: 2025-02-17 DOI:10.3389/fcomm.2025.1385422
Reed M Reynolds, Lucy Popova, Bo Yang, Jordan Louviere, James F Thrasher
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Abstract

Experiments are widely used in communication research to help establish cause and effect, however, studies published in communication journals rarely use discrete choice experiments (DCEs). DCEs have become a mainstay in fields such as behavioral economics, medicine, and public policy, and can be used to enhance research on the effects of message attributes across a wide range of domains and modalities. DCEs are powerful for disentangling the influence of many message attributes with modest sample sizes and participant burden. The benefits of DCEs result from multiple design elements including stimulus sets that elicit direct comparisons, blocked and/or fractional factorial structures, and a wide range of analytic options. Though sophisticated, the tools necessary to implement a DCE are freely available, and this article provides resources to communication scholars and practitioners seeking to add DCEs to their own methodological repertoire.

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离散选择实验:传播学研究入门。
在传播研究中,实验被广泛用于帮助建立因果关系,然而,发表在传播期刊上的研究很少使用离散选择实验(DCEs)。dce已成为行为经济学、医学和公共政策等领域的支柱,并可用于加强对信息属性在广泛领域和模式中的影响的研究。dce对于分解具有适度样本大小和参与者负担的许多消息属性的影响非常强大。dce的优势来自于多种设计元素,包括引发直接比较的刺激集,阻塞和/或分数阶乘结构,以及广泛的分析选项。虽然复杂,但实现DCE所需的工具是免费提供的,本文为寻求将DCE添加到自己的方法库中的通信学者和实践者提供了资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.30
自引率
8.30%
发文量
284
审稿时长
14 weeks
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