Adaptation, translation, and validation of information literacy assessment instrument
Hani Syazillah, Nordin and Kiran, K. and Chowdhury, G. (2018) Adaptation, translation, and validation of information literacy assessment instrument. Journal of the Association for Information Science and Technology, 69 (8). pp. 996-1006. ISSN 2330-1635 (https://doi.org/10.1002/asi.24023)
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Abstract
The assessment of information literacy (IL) at the school level is mainly dependent on the measurement tools developed by the Western world. These tools need to be efficiently adapted and in most cases translated to allow them to be utilized in other cultures, languages, and countries. To date, there have been no standard guidelines to adapt these tools; hence, the results may be cross-culturally generalized to a certain extent. Furthermore, most data analyses produce generic outcomes without taking into account the ability of the students, including the difficulty of the test items. The present study proposes a systematic approach for context adaptation and language translation of the preexisting IL assessment tool known as TRAILS-9 to be used in different languages and context, particularly a Malaysian public secondary school. This study further administers a less common psychometric approach, the Rasch analysis, to validate the adapted instrument. This technique produces a hierarchy of item difficulty within the assessment domain that enables the ability level of the students to be differentiated based on item difficulty. The recommended scale adaptation guidelines are able to reduce the misinterpretation of scores from instruments in multiple languages as well as contribute to parallel development of IL assessment among secondary school students from different populations.
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Item type: Article ID code: 72454 Dates: DateEvent27 July 2018Published23 February 2018Published Online18 January 2018AcceptedSubjects: Bibliography. Library Science. Information Resources > Library Science. Information Science Department: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 21 May 2020 15:33 Last modified: 11 Nov 2024 12:41 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/72454