Marcella H. Boynton PhD, Research Scientist, Laura S. Richman PhD, Assistant Professor.
An online daily diary study of alcohol use using Amazon's Mechanical Turk
Article first published online: 3 JUN 2014
© 2014 Australasian Professional Society on Alcohol and other Drugs
Drug and Alcohol Review
Special Issue: Alcohol and drug use patterns in the event, Guest Editors: Emmanuel Kuntsche, Paul Dietze and Rebecca Jenkinson
Volume 33, Issue 4, pages 456–461, July 2014
How to Cite
Boynton, M. H. and Richman, L. S. (2014), An online daily diary study of alcohol use using Amazon's Mechanical Turk. Drug and Alcohol Review, 33: 456–461. doi: 10.1111/dar.12163
- Issue published online: 16 JUL 2014
- Article first published online: 3 JUN 2014
- Manuscript Accepted: 4 MAY 2014
- Manuscript Received: 8 FEB 2014
- National Institute on Drug Abuse. Grant Number: P30 DA023026
- National Institutes of Health. Grant Numbers: R21 AA017584, M01RR10284, UL1RR031975, T32AA007290
- daily diary;
- Mechanical Turk;
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.
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. [Boynton MH, Richman LS. An online daily diary study of alcohol use using Amazon's Mechanical Turk. Drug Alcohol Rev 2014;33:456–461]