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Philip Hider
Researcher at Charles Sturt University
Publications - 85
Citations - 748
Philip Hider is an academic researcher from Charles Sturt University. The author has contributed to research in topics: Cataloging & Resource Description and Access. The author has an hindex of 14, co-authored 76 publications receiving 661 citations. Previous affiliations of Philip Hider include Aberystwyth University.
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Empirical research methods reported in high-profile LIS journal literature
Philip Hider,Bob Pymm +1 more
TL;DR: In this paper, a content analysis aimed at identifying the distribution of empirical research strategies and techniques reported in high-profile LIS journal literature published in 2005 is described, and the taxonomies used in the analysis were those based on Jarvelin and Vakkari's [Jarvelin, K., et al. (1990), Content analysis of research articles in library and information science.
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Young adults and everyday-life information: The role of news media
TL;DR: In this article, a qualitative, interpretivist approach is adopted, involving 34 students, ages 18 to 25, from an Australian university, who participated in a series of tasks concerning online and print newspapers.
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Indexing It All: The Subject in the Age of Documentation, Information, and Data
TL;DR: In this article, the authors present a critical history of the modern tradition of documentation, focusing on the documentary index (understood as a mode of social positioning), and drawing on the work of the French documentalist Suzanne Briet, they explore the understanding and uses of indexicality.
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Investigating the News Seeking Behavior of Young Adults.
TL;DR: This article investigated the news-seeking and browsing behaviors of young adults, partly in the context of everyday life information seeking (ELIS), in order to explore their perceptions of and attitudes towards print and online news media.
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Using the contingent valuation method for dollar valuations of library services
TL;DR: In this paper, an application of the contingent valuation method (CVM) for estimating the economic value of a regional public library service is described, and some of the key methodological issues surrounding CVM and other stated preference techniques are discussed with reference to library use and funding contexts.