The current study examined the reliability and consistency of switching and mixing costs in the language and the color-shape tasks in three pre-existing data sets, to assess whether they are equally well suited for the study of individual differences. Specifically, we considered if the language task is as reliable as the color-shape task - an important question given the wide use of language switching tasks but little information available to address this question. Switching costs had low to moderate reliability and internal consistency, and these were similar for the language and the color-shape tasks. Mixing costs were more reliable in the language task than in the color-shape task when tested twice on the same day and trended in the same direction when tested a week apart. In addition, mixing costs were larger and more consistent than switching costs in all data sets and they were also were more reliable than switching costs in the language task when tested on the same day. These results reveal the language task to be as good as the color-shape task for measuring switching and mixing ability. Low variability of switching costs may decrease their reliability and consistency, in turn interfering with the chance of detecting cross task correlations. We advocate for exploring procedures to increase the variability of switching costs, which might increase reliability and consistency of these measures, and improve the ability to determine if bilingual language use relies on cognitive mechanisms that overlap with those underlying nonlinguistic multi-tasking.
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http://dx.doi.org/10.5334/joc.140 | DOI Listing |
Sci Rep
January 2025
College of Art and Design, Shaanxi University of Science and Technology, Xi'an, 710021, China.
In recent years, the emergence of artificial intelligence painting tools has significantly changed the creative activities and future development of designers, but studies specifically addressing designers' inclinations to transition to AI painting tools are scarce. Therefore, to understand designers' switching intentions toward AI painting tools, this study proposed a research model based on the push-pull-mooring framework. Data were collected from 320 Chinese designers and analyzed using structural equation modeling.
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Department of Neurology, Center of Clinical Neuroscience, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany.
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January 2025
Bristol Myers Squibb Company, New Jersey, US.
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May 2024
Department of Aviation Management, Republic of China Air Force Academy, Kaohsiung, Taiwan.
Ensuring products maintain their normal function during the warranty period is essential for companies to control warranty costs and sustain their brand reputation. A variables acceptance sampling (VAS) plan based on the lifetime performance index (LPI) is a practical technology for verifying product lifetimes because it can provide the number of failures required for life testing and the acceptance criterion for lot disposition. Recently, an LPI-based variables quick-switch sampling (VQSS) system has been developed to improve the sampling efficiency.
View Article and Find Full Text PDFUrogynecology (Phila)
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UConn Health, Farmington, CT.
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