2006
DOI: 10.2196/jmir.8.3.e15
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Defining Participant Exposure Measures in Web-Based Health Behavior Change Programs

Abstract: BackgroundPublished research on the use of Web-based behavior change programs is growing rapidly. One of the observations characterized as problematic in these studies is that participants often make relatively few website visits and spend only a brief time accessing the program. Properly structured websites permit the unobtrusive measurement of the ways in which participants access (are exposed to) program content. Research on participant exposure to Web-based programs is not merely of interest to technologis… Show more

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Cited by 135 publications
(143 citation statements)
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“…Logistic regressions were used to evaluate program usage by the measure of tobacco abstinence at the 6-month assessment. Website program engagement was measured using the composite measure defined as the mean of the z score transformations of visits (number) and duration (minutes) (Danaher et al, 2006).…”
Section: Program Acceptability and Usagementioning
confidence: 99%
“…Logistic regressions were used to evaluate program usage by the measure of tobacco abstinence at the 6-month assessment. Website program engagement was measured using the composite measure defined as the mean of the z score transformations of visits (number) and duration (minutes) (Danaher et al, 2006).…”
Section: Program Acceptability and Usagementioning
confidence: 99%
“…Because engagement with web interventions influences efficacy (Danaher & Seeley, 2009), we unobtrusively tracked number of Web site visits, time/date descriptors of visits, duration of visits, and specific webpages visited (Danaher, Boles, Akers, Gordon, & Severson, 2006).…”
Section: Participant Exposure To the Web-based Programsmentioning
confidence: 99%
“…Because the frequency and duration of Web site visits tend to be positively skewed, program engagement was measured using the composite measure defined as the mean of the Z-score transformations of visits (number) and duration (minutes) (Danaher et al, 2006).…”
Section: Program Engagementmentioning
confidence: 99%
“…This is followed by the recording and analysis of the messages that are received-or created-by these users. For example, some studies of online content have focused on what web users actually attend to, unobtrusively recording their web activity (e.g., Danaher et al 2006;Jansen and Spink 2006;Mastro et al 2002). Further, content analyses of video games have adopted the practice of using a set of recorded gaming sessions as the content, rather than a hypothetical population of all potential content for a given game (e.g., Haninger and Thompson 2004;Martins et al 2009;Weber et al 2009).…”
Section: Review Of Past Research and Development Of Measuresmentioning
confidence: 99%