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成瘾科学中的众包方法:新兴研究与最佳实践。

Crowdsourcing methods in addiction science: Emerging research and best practices.

机构信息

Department of Psychiatry and Behavioral Sciences.

Department of Applied Behavioral Science.

出版信息

Exp Clin Psychopharmacol. 2022 Aug;30(4):379-380. doi: 10.1037/pha0000582.

DOI:10.1037/pha0000582
PMID:35862134
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10080397/
Abstract

Crowdsourcing platforms such as Amazon Mechanical Turk, Prolific, and Qualtrics Panels have become a dominant form of sampling in recent years. Crowdsourcing enables researchers to effectively and efficiently sample research participants with greater geographic variability, access to hard-to-reach populations, and reduced costs. These methods have been increasingly used across varied areas of psychological science and essential for research during the COVID-19 pandemic due to their facilitation of remote research. Recent work documents methods for improving data quality, emerging crowdsourcing platforms, and how crowdsourcing data fit within broader research programs. Addiction scientists will benefit from the adoption of best practice guidelines in crowdsourcing as well as developing novel approaches, venues, and applications to advance the field. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

摘要

众包平台,如亚马逊土耳其机器人、 prolific 和 qualtrics 面板,近年来已成为一种主要的抽样形式。众包使研究人员能够有效地、高效地对具有更大地理变异性、更容易接触到难以接触到的人群和降低成本的研究参与者进行抽样。由于这些方法促进了远程研究,因此它们已在心理学科学的各个不同领域得到越来越多的应用,并且对于 COVID-19 大流行期间的研究至关重要。最近的工作记录了改进数据质量的方法、新兴的众包平台,以及众包数据如何适应更广泛的研究计划。成瘾科学家将受益于在众包中采用最佳实践指南,以及开发新的方法、场所和应用来推进该领域。(PsycInfo 数据库记录(c)2022 APA,保留所有权利)。

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本文引用的文献

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Exp Clin Psychopharmacol. 2022 Aug;30(4):415-423. doi: 10.1037/pha0000579.
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The validity of qualtrics panel data for research on video gaming and gaming disorder.用于研究视频游戏和游戏障碍的 qualtrics 面板数据的有效性。
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Using crowdsourcing to study the differential effects of cross-drug withdrawal for cigarettes and opioids in a behavioral economic demand framework.利用众包研究在行为经济需求框架下,不同药物(香烟和阿片类药物)戒断的差异效应。
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