Document (#24605)

Author
Bateman, J.
Title
Modelling the importance of end-user relevance criteria
Source
Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods
Imprint
Medford, NJ : Information Today
Year
1999
Pages
S.396-406
Series
Proceedings of the American Society for Information Science; vol.36
Abstract
In most information retrieval research, the concept of relevance has been defined a priori as a single variable by the researcher and the meaning of relevance to the end-user who is making relevance judgments has not been taken into account. However, a number of criteria that users employ in making relevance judgments has been identified (Schamher, 1991; Barry, 1993). Understanding these criteria and their importance to end-users can help researchers better understand end-user evaluation behavior. This study reports end-users' ratings of the relative importance of 40 relevance criteria as used in their own information-seeking situations, and examines relationships between criteria that they rated most important. Data were collected from 210 graduate students who were instructed in a mail survey to rate 40 relevance criteria by importance in their selection of the most valuable information source for a recent or current paper or project. The criteria were selected from previous studies in which open-ended interviews were used to elicit criteria from end-users making judgments in their own information-seeking situations (Schamher, 1991; Su, 1992; Barry, 1993). A model of relevance with three constructs that contribute to the concept of relevance was proposed using the eleven criteria that survey respondents rated as most important (75 or more on a scale of 0 to 100). The development of this model was guided by similarities in criteria and criteria groupings from previous research (Barry & Schamher, 1998). Confirmatory factor analysis was used to confirm the model and verify that the constructs would produce reliable subscale scores. The three constructs are information quality, information credibility, and information completeness. Second-order factor analysis indicated that these constructs explain 48% of positive relevance judgments for these respondents. Three additional constructs, information availability, information topicality, and information currency are also suggested. The constructs developed from this analysis are thought to underlie the concept of relevance for this group of users
Theme
Retrievalstudien

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  5. Schamber, L.; Bateman, J.: Relevance criteria uses and importance : progress in development of a measurement scale (1999) 0.40
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