Validation of questionaire for website usability (QWU) instrument based on experts review
Nowadays, website is used widely all over a world for medium of communication for information or services and usability principles was implemented in web environment and not for software only. Organization uses website to market their product and services. There are many methods to evaluate the webs...
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2016
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ump-208902018-08-10T03:09:24Z http://umpir.ump.edu.my/id/eprint/20890/ Validation of questionaire for website usability (QWU) instrument based on experts review Nur Sukinah, Aziz Adzhar, Kamaludin QA75 Electronic computers. Computer science QA76 Computer software Nowadays, website is used widely all over a world for medium of communication for information or services and usability principles was implemented in web environment and not for software only. Organization uses website to market their product and services. There are many methods to evaluate the website such as heuristic evaluation, testing, survey and many more. This study is aimed to develop the questionnaire for measuring website in context of usability. The instrument is consist of 9 constructs and 60 item of questionnaire. Content validity by experts is used as one of methodology to validate the instrument. The result shows that from 60 item of instrument, 9 item need to be removed based on experts review. Therefore, it shows some justification for the content validity of items when some items are not focusing to the research target. Springer Verlag 2016 Conference or Workshop Item PeerReviewed Nur Sukinah, Aziz and Adzhar, Kamaludin (2016) Validation of questionaire for website usability (QWU) instrument based on experts review. In: 2nd International Conference on Communication and Computer Engineering, ICOCOE 2015, 9-11 June 2015 , Phuket; Thailand. pp. 891-902., 362. ISSN 1876-1100 (print); 1876-1100 (online) https://link.springer.com/chapter/10.1007%2F978-3-319-24584-3_75 |
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QA75 Electronic computers. Computer science QA76 Computer software |
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QA75 Electronic computers. Computer science QA76 Computer software Nur Sukinah, Aziz Adzhar, Kamaludin Validation of questionaire for website usability (QWU) instrument based on experts review |
description |
Nowadays, website is used widely all over a world for medium of communication for information or services and usability principles was implemented in web environment and not for software only. Organization uses website to market their product and services. There are many methods to evaluate the website such as heuristic evaluation, testing, survey and many more. This study is aimed to develop the questionnaire for measuring website in context of usability. The instrument is consist of 9 constructs and 60 item of questionnaire. Content validity by experts is used as one of methodology to validate the instrument. The result shows that from 60 item of instrument, 9 item need to be removed based on experts review. Therefore, it shows some justification for the content validity of items when some items are not focusing to the research target. |
format |
Conference or Workshop Item |
author |
Nur Sukinah, Aziz Adzhar, Kamaludin |
author_facet |
Nur Sukinah, Aziz Adzhar, Kamaludin |
author_sort |
Nur Sukinah, Aziz |
title |
Validation of questionaire for website usability (QWU) instrument based on experts review |
title_short |
Validation of questionaire for website usability (QWU) instrument based on experts review |
title_full |
Validation of questionaire for website usability (QWU) instrument based on experts review |
title_fullStr |
Validation of questionaire for website usability (QWU) instrument based on experts review |
title_full_unstemmed |
Validation of questionaire for website usability (QWU) instrument based on experts review |
title_sort |
validation of questionaire for website usability (qwu) instrument based on experts review |
publisher |
Springer Verlag |
publishDate |
2016 |
url |
http://umpir.ump.edu.my/id/eprint/20890/ http://umpir.ump.edu.my/id/eprint/20890/ |
first_indexed |
2023-09-18T22:30:23Z |
last_indexed |
2023-09-18T22:30:23Z |
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1777416246326722560 |