Adjustment and Development of Health User's Mental Model Completeness Scale in Search Engines
Author(s):
Abstract:
Introduction
Users performance and their interaction with information retrieval systems can be observed in development of their mental models. Users, especially users of health, use mental models to facilitate their interactions with these systems and incomplete or incorrect models can cause problems for them . The aim of this study was the adjustment and development of health users mental model completeness scale in search engines.Method
This quantitative study uses Delphi method. Among various scales for users mental model completeness, Lis scale was selected and some items were added to this scale based on previous valid literature. Delphi panel members were selected using purposeful sampling method, consisting of 20 and 18 participants in the first and second rounds, respectively. Kendalls Coefficient of Concordance in SPSS version 16 was used as basis for agreement (95% confidence).Results
The Kendall coefficient of Concordance (W) was calculated to be 0.261(P-valueConclusion
In this study, the scale for mental model completeness of health users was adjusted and developed; it can help the designers of information retrieval systems in systematic development of these systems and can also help librarians and informatics experts in recognizing the necessary trainings for users in order to improve their information retrieval skills. Also, as a valid and adapted scale for Iranian universities of medical sciences, it can be used for investigating completeness level of health information users mental models of search engines.Keywords:
Language:
English
Published:
Journal of Health Management and Informatics, Volume:3 Issue: 4, Oct 2016
Pages:
111 to 119
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