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Journal of the American Society for Information Science and Technology
Beyond logs and surveys: in-depth measures of people's web use skills
Journal of the American Society for Information Science and Technology
Classifying and coding online actions
Social Science Computer Review - Special issue: Sociology and computing
On the web at home: information seeking and web searching in the home environment
Journal of the American Society for Information Science and Technology - Part I: Information seeking research
An Update on Survey Measures of Web-Oriented Digital Literacy
Social Science Computer Review
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ACM SIGACCESS Accessibility and Computing
The law of choice and the decision not to decide
IAAI'08 Proceedings of the 20th national conference on Innovative applications of artificial intelligence - Volume 3
Computer Literacy and the Accuracy of Substance Use Reporting in an ACASI Survey
Social Science Computer Review
From access to usage: The divide of self-reported digital skills among adolescents
Computers & Education
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Computers & Education
Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47
Succinct Survey Measures of Web-Use Skills
Social Science Computer Review
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Computers & Education
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Computers in Human Behavior
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Computers & Education
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ACM Transactions on Computer-Human Interaction (TOCHI)
Social Science Computer Review
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Computers in Human Behavior
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This article presents survey measures of web-oriented digital literacy to serve as proxies for observed skill measures, which are much more expensive and difficult to collect for large samples. Findings are based on a study that examined users' digital literacy through both observations and survey questions, making it possible to check the validity of survey proxy measures. These analyses yield a set of recommendations for what measures work well as survey proxies of people's observed web-use skills. Some of these survey measures were administered on the General Social Survey 2000 and 2002 Internet modules, making the findings relevant for the use of existing large-scale national data sets. Results suggest that some composite variables of survey knowledge items are better predictors of people's actual digital literacy based on performance tests than are measures of users' self-perceived abilities, a proxy traditionally used in the literature on the topic.