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Article
Statistical Measures for Workload Capacity Analysis
Journal of Mathematical Psychology (2012)
  • Joseph W. Houpt, Wright State University - Main Campus
  • James T. Townsend
Abstract
A critical component of how we understand a mental process is given by measuring the effect of varying the workload. The capacity coefficient (Townsend & Nozawa, 1995; Townsend & Wenger, 2004) is a measure on response times for quantifying changes in performance due to workload. Despite its precise mathematical foundation, until now rigorous statistical tests have been lacking. In this paper, we demonstrate statistical properties of the components of the capacity measure and propose a significance test for comparing the capacity coefficient to a baseline measure or two capacity coefficients to each other.
Keywords
  • Mental architecture,
  • Human information processing,
  • Capacity coefficient,
  • Nonparametric,
  • Race model
Publication Date
October, 2012
DOI
10.1016/j.jmp.2012.05.004
Publisher Statement
© 2012. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Citation Information
Joseph W. Houpt and James T. Townsend. "Statistical Measures for Workload Capacity Analysis" Journal of Mathematical Psychology Vol. 56 Iss. 5 (2012) p. 341 - 355 ISSN: 00222496
Available at: http://works.bepress.com/joseph_houpt/34/
Creative Commons license
Creative Commons License
This work is licensed under a Creative Commons CC_BY-NC-ND International License.