The reliability and factor analysis validity of a new instrument to measure Illusion of Control bias in What-If DSS production scheduling simulation
There are several methods of accessing illusion of control that have been used by researchers.Many researchers have measured Illusion of Control (IOC)through questionnaire in experimental situations where subjects need to self report their confidence levels.The instrument developed in this paper is...
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my.uum.repo.112892014-06-05T02:56:23Z http://repo.uum.edu.my/11289/ The reliability and factor analysis validity of a new instrument to measure Illusion of Control bias in What-If DSS production scheduling simulation Zakaria, Halimi Al - Sagoff, Syed A. Kadir Ali@Ibrahim, Azizi QA75 Electronic computers. Computer science There are several methods of accessing illusion of control that have been used by researchers.Many researchers have measured Illusion of Control (IOC)through questionnaire in experimental situations where subjects need to self report their confidence levels.The instrument developed in this paper is a 7-point Likert-styled questionnaire used together with a Decision Support System (DSS) in a production scheduling simulation has been reliability tested and factor analyzed for validity as a new instrument to measure illusion of control. 2008-06-10 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/11289/1/103-106-CR77.pdf Zakaria, Halimi and Al - Sagoff, Syed A. Kadir and Ali@Ibrahim, Azizi (2008) The reliability and factor analysis validity of a new instrument to measure Illusion of Control bias in What-If DSS production scheduling simulation. In: Knowledge Management International Conference 2008 (KMICe2008), 10-12 June 2008, Langkawi, Malaysia. http://www.kmice.uum.edu.my |
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| language |
English |
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QA75 Electronic computers. Computer science |
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QA75 Electronic computers. Computer science Zakaria, Halimi Al - Sagoff, Syed A. Kadir Ali@Ibrahim, Azizi The reliability and factor analysis validity of a new instrument to measure Illusion of Control bias in What-If DSS production scheduling simulation |
| description |
There are several methods of accessing illusion of control that have been used by researchers.Many researchers have measured Illusion of Control (IOC)through questionnaire in experimental situations where subjects need to self report their confidence levels.The instrument developed in this paper is a 7-point Likert-styled questionnaire used together with a Decision Support System (DSS) in a production scheduling simulation has been reliability tested and factor analyzed for validity as a new instrument to measure illusion of control. |
| format |
Conference or Workshop Item |
| author |
Zakaria, Halimi Al - Sagoff, Syed A. Kadir Ali@Ibrahim, Azizi |
| author_facet |
Zakaria, Halimi Al - Sagoff, Syed A. Kadir Ali@Ibrahim, Azizi |
| author_sort |
Zakaria, Halimi |
| title |
The reliability and factor analysis validity of a new instrument to measure Illusion of Control bias in What-If DSS production scheduling simulation |
| title_short |
The reliability and factor analysis validity of a new instrument to measure Illusion of Control bias in What-If DSS production scheduling simulation |
| title_full |
The reliability and factor analysis validity of a new instrument to measure Illusion of Control bias in What-If DSS production scheduling simulation |
| title_fullStr |
The reliability and factor analysis validity of a new instrument to measure Illusion of Control bias in What-If DSS production scheduling simulation |
| title_full_unstemmed |
The reliability and factor analysis validity of a new instrument to measure Illusion of Control bias in What-If DSS production scheduling simulation |
| title_sort |
reliability and factor analysis validity of a new instrument to measure illusion of control bias in what-if dss production scheduling simulation |
| publishDate |
2008 |
| url |
http://repo.uum.edu.my/11289/1/103-106-CR77.pdf http://repo.uum.edu.my/11289/ http://www.kmice.uum.edu.my |
| _version_ |
1644280602262765568 |
| score |
13.250246 |