Crowdsourcing methods in addiction science: Emerging research and best practices

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 p...

Full description

Saved in:
Bibliographic Details
Published inExperimental and clinical psychopharmacology Vol. 30; no. 4; p. 379
Main Authors Strickland, Justin C, Amlung, Michael, Reed, Derek D
Format Journal Article
LanguageEnglish
Published United States 01.08.2022
Subjects
Behavior, Addictive
COVID-19
Crowdsourcing - methods
Humans
Pandemics
Online AccessGet more information

Cover

More Information
Summary: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).
ISSN:1936-2293
DOI:10.1037/pha0000582