Functional Principal Components Analysis of Workload Capacity Functions
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.
Burns, D. M., Houpt, J. W., Townsend, J. T., & Endres, M. J. (2013). Functional Principal Components Analysis of Workload Capacity Functions. Behavior Research Methods, 45(4), pp. 1048-1057. Springer US.
The definitive version is available at https://doi.org/10.3758/s13428-013-0333-2
Keywords and Phrases
Workload capacity; Race model; Response times; Principal components analysis; Systems factorial technology
International Standard Serial Number (ISSN)
Article - Journal
01 Dec 2013