Title

Functional Principal Components Analysis of Workload Capacity Functions

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.

Department(s)

Psychological Science

Keywords and Phrases

Workload capacity; Race model; Response times; Principal components analysis; Systems factorial technology

International Standard Serial Number (ISSN)

1554-351X

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

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