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• W2029332534 startingPage "1048" @default.
• W2029332534 abstract "Workload capacity, an important concept in many areas of psychology, describes processing efficiency across changes in workload. The capacity coefficient is a function across time that provides a useful measure of this construct. Until now, most analyses of the capacity coefficient have focused on the magnitude of this function, and often only in terms of a qualitative comparison (greater than or less than one). This work explains how a functional extension of principal components analysis can capture the time-extended information of these functional data, using a small number of scalar values chosen to emphasize the variance between participants and conditions. This approach provides many possibilities for a more fine-grained study of differences in workload capacity across tasks and individuals." @default.
• W2029332534 created "2016-06-24" @default.
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• W2029332534 date "2013-03-09" @default.
• W2029332534 modified "2023-10-14" @default.
• W2029332534 title "Functional principal components analysis of workload capacity functions" @default.
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• W2029332534 doi "https://doi.org/10.3758/s13428-013-0333-2" @default.
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