Accounting for Time-Dependent Covariates in Driving Simulator Studies
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2008/05/01
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Description:Driving involves multiple cognitive processes that are influenced by a dynamic external environment and internal feedback loops. These processes are typically studied in a simulator environment to capture time-dependent driver performance measures. The primary objective of this research is to show that data analysis techniques that ignore or improperly treat time-dependent covariates will lead to erroneous estimates and conclusions. This is demonstrated with a driving simulator study that was used to test whether a significant decrease in performance occurs in the presence of auditory and visual distractions. A total of 28 drivers participated in a 2 (age) × 7 (strategy) repeated measures experiment. The response variable-accelerator release time-was analysed with and without consideration of time-dependent covariates. Using the inverse headway distance as a time-dependent covariate corrected logically inconsistent results obtained when the covariate was ignored. This indicates that ignoring covariates can actually lead to inappropriate design or policy implications. [Description provided by NIOSH]
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ISSN:1463-922X
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Pages in Document:189-199
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Volume:9
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Issue:3
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NIOSHTIC Number:nn:20063273
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Citation:Theor Issues Ergon Sci 2008 May-Jun; 9(3):189-199
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Contact Point Address:Linda Ng Boyle, Department of Mechanical and Industrial Engineering, University of Iowa, 3131 Seamans Center, Iowa City, IA 52242, USA
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Email:linda-boyle@uiowa.edu
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Federal Fiscal Year:2008
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Performing Organization:University of Iowa
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Peer Reviewed:True
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Start Date:20050701
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Source Full Name:Theoretical Issues in Ergonomics Science
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End Date:20290630
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Main Document Checksum:urn:sha-512:81ec1a37ce5f83992a0a129b394cec4ddccf5425da67f853218c1852fa278fc84d18640db4378d4b4ab2fbc4c356e5c1ca8f78d70a70a515cb01d59bb4e5b75c
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