A Comprehensive Comparison of Quantifications of Intraindividual Variability in Response Times: A Measurement Burst Approach
Robert S StawskiPhD,
Stuart W S MacDonaldPhD,
Paul W H BrewsterPhD,
Elizabeth MunozPhD,
Eric S CerinoMS and
Drew W R HallidayMSc
The Journals of Gerontology: Series B, 2019, vol. 74, issue 3, 397-408
Abstract:
ObjectivesTo formally identify and contrast the most commonly-employed quantifications of response time inconsistency (RTI) and elucidate their utility for understanding within-person (WP) and between-person (BP) variation in cognitive function with increasing age.MethodUsing two measurement burst studies of cognitive aging, we systematically identified and computed five RTI quantifications from select disciplines to examine: (a) correlations among RTI quantifications; (b) the distribution of BP and WP variation in RTI; and (c) the comparability of RTI quantifications for predicting attention switching.ResultsComparable patterns were observed across studies. There was significant variation in RTI BP as well as WP across sessions and bursts. Correlations among RTI quantifications were generally strong and positive both WP and BP, except for the coefficient of variation. Independent prediction models indicated that slower mean response time (RT) and greater RTI were associated with slower attention switching both WP and BP. For selecting simultaneous prediction models, collinearity resulted in inflated standard errors and unstable model estimates.DiscussionRTI reflects a novel dimension of performance that is a robust and theoretically informative predictor of BP and WP variation in cognitive function. Among the plenitude of RTI quantifications, not all are interchangeable, nor of comparable predictive utility.
Keywords: Central tendency; Cognitive aging; Inconsistency; Intraindividual variability; Response time; Measurement burst design (search for similar items in EconPapers)
Date: 2019
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The Journals of Gerontology: Series B is currently edited by Psychological Sciences - S. Duke Han, PhD and Social Sciences - Jessica A Kelley, PhD, FGSA
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