An online daily diary study of alcohol use using Amazon's mechanical turk

dc.contributor.author

Boynton, Marcella H

dc.contributor.author

Richman, Laura Smart

dc.date.accessioned

2016-04-08T14:57:06Z

dc.date.issued

2014-01-01

dc.description.abstract

Introduction and Aims: In recent years, unprecedented levels of Internet access and the widespread growth of emergent communication technologies have resulted in significantly greater population access for substance use researchers. Despite the research potential of such technologies, the use of the Internet to recruit individuals for participation in event-level research has been limited. The purpose of this paper is to provide a brief account of the methods and results from an online daily diary study of alcohol use. Design and Methods: Participants were recruited using Amazon's Mechanical Turk. Eligible participants completed a brief screener assessing demographics and health behaviours, with a subset of individuals subsequently recruited to participate in a 2 week daily diary study of alcohol use. Results: Multilevel models of the daily alcohol data derived from the Mechanical Turk sample (n=369) replicated several findings commonly reported in daily diary studies of alcohol use. Discussion and Conclusions: Results demonstrate that online participant recruitment and survey administration can be a fruitful method for conducting daily diary alcohol research. © 2014 Australasian Professional Society on Alcohol and other Drugs.

dc.identifier.eissn

1465-3362

dc.identifier.issn

0959-5236

dc.identifier.uri

https://hdl.handle.net/10161/11801

dc.publisher

Wiley

dc.relation.ispartof

Drug and Alcohol Review

dc.relation.isversionof

10.1111/dar.12163

dc.title

An online daily diary study of alcohol use using Amazon's mechanical turk

dc.type

Journal article

pubs.begin-page

456

pubs.end-page

461

pubs.issue

4

pubs.organisational-group

Duke

pubs.organisational-group

Psychology and Neuroscience

pubs.organisational-group

Trinity College of Arts & Sciences

pubs.publication-status

Published

pubs.volume

33

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