993 resultados para Statistical Error
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Statistical Report On FIP Applications And Cases Discontinued, July 2005
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Statistical Report on FIP Applicatins and Cases Discontinued August 2005
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Statistical Report On FIP Applications And Cases Discontinued, September 2005
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Statistical Report On FIP Applications And Cases Discontinued, October 2005
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Statistical Report On FIP Applications And Cases Discontinued, November 2005
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Statistical Report On FIP Applications And Cases Discontinued, December 2005
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Iowa Sales and Use Tax Annual Statistical Report FY 2009
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Iowa Individual Income Tax Statistical Report 2008
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Using Monte Carlo simulations and reanalyzing the data of a validation study of the AEIM emotional intelligence test, we demonstrated that an atheoretical approach and the use of weak statistical procedures can result in biased validity estimates. These procedures included stepwise regression-and the general case of failing to include important theoretical controls-extreme scores analysis, and ignoring heteroscedasticity as well as measurement error. The authors of the AEIM test responded by offering more complete information about their analyses, allowing us to further examine the perils of ignoring theory and correct statistical procedures. In this paper we show with extended analyses that the AEIM test is invalid.
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A-1 - Monthly Public Assistance Statistical Report Family Investment Program
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A-1 - Monthly Public Assistance Statistical Report Family Investment Program
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A-1 - Monthly Public Assistance Statistical Report Family Investment Program
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A-1 - Monthly Public Assistance Statistical Report Family Investment Program
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Optimal behavior relies on flexible adaptation to environmental requirements, notably based on the detection of errors. The impact of error detection on subsequent behavior typically manifests as a slowing down of RTs following errors. Precisely how errors impact the processing of subsequent stimuli and in turn shape behavior remains unresolved. To address these questions, we used an auditory spatial go/no-go task where continual feedback informed participants of whether they were too slow. We contrasted auditory-evoked potentials to left-lateralized go and right no-go stimuli as a function of performance on the preceding go stimuli, generating a 2 × 2 design with "preceding performance" (fast hit [FH], slow hit [SH]) and stimulus type (go, no-go) as within-subject factors. SH trials yielded SH trials on the following trials more often than did FHs, supporting our assumption that SHs engaged effects similar to errors. Electrophysiologically, auditory-evoked potentials modulated topographically as a function of preceding performance 80-110 msec poststimulus onset and then as a function of stimulus type at 110-140 msec, indicative of changes in the underlying brain networks. Source estimations revealed a stronger activity of prefrontal regions to stimuli after successful than error trials, followed by a stronger response of parietal areas to the no-go than go stimuli. We interpret these results in terms of a shift from a fast automatic to a slow controlled form of inhibitory control induced by the detection of errors, manifesting during low-level integration of task-relevant features of subsequent stimuli, which in turn influences response speed.
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A-1 - Monthly Public Assistance Statistical Report Family Investment Program