An online daily diary study of alcohol use using Amazon's Mechanical Turk.

Published

Journal Article

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.

Full Text

Cited Authors

  • Boynton, MH; Richman, LS

Published Date

  • July 2014

Published In

Volume / Issue

  • 33 / 4

Start / End Page

  • 456 - 461

PubMed ID

  • 24893885

Pubmed Central ID

  • 24893885

Electronic International Standard Serial Number (EISSN)

  • 1465-3362

Digital Object Identifier (DOI)

  • 10.1111/dar.12163

Language

  • eng

Conference Location

  • Australia