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Agreement Between Prospective Interactive Voice Response Self-Monitoring and Structured Retrospective Reports of Drinking and Contextual Variables During Natural Resolution Attempts *.

Journal of Studies on Alcohol and Drugs 2007, July, 68, 4

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Description

AUTOMATED DATA COLLECTION SYSTEMS that allow respondents to enter information privately appear to enhance reporting of complex and sensitive information about substance use and other risk behaviors. Studies that compared reports using telephone-based interactive voice response (IVR) systems or similar electronic diaries with structured retrospective methods, such as the Timeline Followback (TLFB) interview (Sobell and Sobell, 1992), typically found that the two approaches showed good concordance for summary measures of behavior (e.g., Bardone et al., 2000; Carney et al., 1998). However, when differences were found between methods, automated self-monitoring (SM) yielded higher, presumably more complete reports of sensitive information, such as drug use or sexual risk behaviors (e.g., Blumberg et al., 2003; Searles et al., 2002). Decisions about whether this additional information is important should be guided by the nature of the research question or application (Sobell and Sobell, 2003). The detailed assessment that prospective SM can provide is useful for assessing sequential relationships across time among substance use, associated risk behaviors, and the environmental context. However, SM may be unnecessary or excessively burdensome and costly for other goals (e.g., screening and diagnosis).

Agreement Between Prospective Interactive Voice Response Self-Monitoring and Structured Retrospective Reports of Drinking and Contextual Variables During Natural Resolution Attempts *.
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  • 2,99 €
  • Available on iPhone, iPad, iPod touch, and Mac.
  • Category: Health & Fitness
  • Published: 01 July 2007
  • Publisher: Alcohol Research Documentation, Inc.
  • Print Length: 13 Pages
  • Language: English
  • Requirements: To view this book, you must have an iOS device with iBooks 1.3.1 or later and iOS 4.3.3 or later, or a Mac with iBooks 1.0 or later and OS X 10.9 or later.

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