title: Statistical analyses of the resilience function.
abstract: The extent to which distracting information influences decisions can be informative about the nature of the underlying cognitive and perceptual processes. In a recent paper, a response time-based measure for quantifying the degree of interference (or facilitation) from distracting information termed resilience was introduced. Despite using a statistical measure, the analysis was limited to qualitative comparisons between different model predictions. In this paper, we demonstrate how statistical procedures from workload capacity analysis can be applied to the new resilience functions. In particular, we present an approach to null-hypothesis testing of resilience functions and a method based on functional principal components analysis for analyzing differences in the functional form of the resilience functions across participants and conditions.
authors: Department of Psychology, Wright State University, Dayton, OH, 45453, USA. joseph.houpt@wright.edu.
authors: Joseph W
authors: JW
authors: Houpt
authors: School of Psychological Sciences, The University of Melbourne, Melbourne, Australia.
authors: Daniel R
authors: DR
authors: Little
mesh_terms: D035841:Behavioral Research / Q000379:methods*; D006801:Humans; D008297:Male; D025341:Principal Component Analysis; D011930:Reaction Time; D055500:Resilience, Psychological
keywords: Conflict; Information processing; Response time; Statistics