Psychometric evaluation of the revised Michigan diabetes knowledge test (V.2016) in Arabic: Translation and validation

Alhaiti, A, Jones, L, Da Costa, C, Alotaibi, A and Lenon, G 2016, 'Psychometric evaluation of the revised Michigan diabetes knowledge test (V.2016) in Arabic: Translation and validation', Journal of Diabetes Research, 9643714, pp. 1-20.


Document type: Journal Article
Collection: Journal Articles

Title Psychometric evaluation of the revised Michigan diabetes knowledge test (V.2016) in Arabic: Translation and validation
Author(s) Alhaiti, A
Jones, L
Da Costa, C
Alotaibi, A
Lenon, G
Year 2016
Journal name Journal of Diabetes Research
Article Number 9643714
Start page 1
End page 20
Total pages 20
Publisher Hindawi Publishing Corporation
Abstract Objective: To translate the revised Michigan Diabetes Knowledge Test into the Arabic language and examine its psychometric properties. Setting: Of the 139 participants recruited through King Fahad Medical City in Riyadh, Saudi Arabia, 34 agreed to the second-round sample for retesting purposes. Methods: The translation process followed the World Health Organization's guidelines for the translation and adaptation of instruments. All translations were examined for their validity and reliability. Results: The translation process revealed excellent results throughout all stages. The Arabic version received 0.75 for internal consistency via Cronbach's alpha test and excellent outcomes in terms of the test-retest reliability of the instrument with a mean 0.90 infraclass correlation coefficient. It also received positive content validity index scores. The item-level content validity index for all instrument scales fell between 0.83 and 1 with a mean scale-level index of 0.96. Conclusion: The Arabic version is proven to be a reliable and valid measure of patient's knowledge that is ready to use in clinical practices.
Subject Nursing not elsewhere classified
Keyword(s) Michigan Diabetes Knowledge Test
survey
type 2 diabetes
Arabic
translation
validation
reliability
DOI - identifier 10.1155/2016/9643714
Copyright notice Copyright © 2016 Ali Hassan Alhaiti et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
ISSN 2314-6745
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