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Capturing the Moment: Innovative Approaches to Daily Alcohol Assessment
Author(s) -
Neal Dan J.,
Fromme Kim,
Boca Frances K.,
Parks Kathleen A.,
King Linda P.,
Pardi Ann M.,
Collins R. Lorraine,
Muraven Mark,
Vetter Charlene,
Corbin William R.
Publication year - 2006
Publication title -
alcoholism: clinical and experimental research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.267
H-Index - 153
eISSN - 1530-0277
pISSN - 0145-6008
DOI - 10.1111/j.1530-0277.2006.00025.x
Subject(s) - event (particle physics) , data collection , alcohol consumption , event data , psychology , computer science , applied psychology , data science , sociology , social science , alcohol , quantum mechanics , analytics , biochemistry , chemistry , physics
This article is a summary of a symposium presented at the 2005 Research Society on Alcoholism annual conference organized by Dan J. Neal and chaired by William R. Corbin. Event‐level data, wherein each “event” (e.g., day) is captured as its own data point, capture the complex patterns of drinking and other high‐risk behaviors in ways that the typical aggregate approach cannot. Because of their richness, methodologies that incorporate event‐level data are becoming more common in alcohol research. At least 3 distinct forms of event‐level data can be gathered: retrospective data (those collected on a single occasion, using memory aids to help each participant reconstruct all drinking events over a specific period of time), daily monitoring data (reporting on all events for that day), and momentary assessment (those recorded immediately following a drinking event or in response to a prompt from researchers). The goal of this symposium was to address many issues associated with event‐level methodology, as well as demonstrate projects that are currently implementing such innovative data collection. The 4 presentations included in this symposium were “Realizing the Promise and Avoiding the Pitfalls of Retrospective Daily Estimation Assessments of Alcohol Use” by Frances K. Del Boca; “Using Interactive Voice Response Technology to Assess the Alcohol‐Victimization Link” by Kathleen Parks, Linda King, and Ann Pardi; “Methodological Issues in Using Personal Data Assistants to Self‐monitor Alcohol Consumption” by R. Lorraine Collins, Mark Muraven, and Charlene Vetter; and “Collecting Event‐level Data Using the World Wide Web” by Dan J. Neal and Kim Fromme.