The Effect of Corrective Feedback on Performance in Basic Cognitive Tasks: An Analysis of RT Components

Moret-Tatay, Carmen; Leth‐Steensen, Craig; Irigaray, Tatiana Quarti; Argimon, Irani Iracema L.; Gamermann, D.; Abad‐Tortosa, Diana; Oliveira, Camila Rosa de; Sáiz-Mauleón, Begoña; Vázquez-Martínez, Andrea; Navarro‐Pardo, Esperanza; Castellá, Pedro Fernández de Córdoba

doi:10.5334/pb.240

Cited by 22 publications

(29 citation statements)

References 31 publications

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“…This ratio will follow the same tendency as the ex-Gaussian skewness (c 1 = 2s 3 ∕ S 3 ). It has been described as a perceptual portion of an RT (Hohle, 1965), a decision component (Luce, 1986) and more recently, related to attentional factors, a defective effort control mechanism or attentional lapses (Gu, Gau, Tzang & Hsu, 2013;Moreno-Cid et al, 2015;Moret-Tatay et al, 2014;Moret-Tatay et al, 2016). In particular, Leth-Steensen, Elbaz & Douglas (2000) did find main differences in the s parameter, not in r or l, while comparing ADHD children to their age-matched control counterparts.…”

Section: Introductionmentioning

confidence: 99%

“…One option is to perform a distributional analysis of the data. In the case of positively skewed data, an appealing possibility for this distribution is the ex-Gaussian distribution function (Balota & Yap, 2011;Lacouture & Cousineau, 2008;Luce, 1986;Moreno-Cid, Moret-Tatay, Irigaray et al, 2015;Moret-Tatay, Leth-Steensen, Irigaray et al, 2016;Moret-Tatay et al, 2014;Ratcliff and Murdock, 1976). Furthermore, this option can be a useful tool when dealing with high variability in the data.…”

Section: Introductionmentioning

confidence: 99%

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Age slowing down in detection and visual discrimination under varying presentation times

Moret-Tatay

Lemus

Abad‐Tortosa

et al. 2017

Scandinavian J Psychology

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The reaction time has been described as a measure of perception, decision making, and other cognitive processes. The aim of this work is to examine age-related changes in executive functions in terms of demand load under varying presentation times. Two tasks were employed where a signal detection and a discrimination task were performed by young and older university students. Furthermore, a characterization of the response time distribution by an ex-Gaussian fit was carried out. The results indicated that the older participants were slower than the younger ones in signal detection and discrimination. Moreover, the differences between both processes for the older participants were higher, and they also showed a higher distribution average except for the lower and higher presentation time. The results suggest a general slowdown in both tasks for age under different presentation times, except for the cases where presentation times were lower and higher. Moreover, if these parameters are understood to be a reflection of executive functions, these findings are consistent with the common view that age-related cognitive deficits show a decline in this function.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Age slowing down in detection and visual discrimination under varying presentation times

Moret-Tatay

Lemus

Abad‐Tortosa

et al. 2017

Scandinavian J Psychology

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“…Of all three parameters, the most interesting one seems to be τ, since it has been assumed to contain a perceptual portion of an RT, the decision component, and it has been recently related to factors associated with attention. For a recent account on the relevance of these three parameters in the diagnosis of ADHD, see references [34][35][36][37][38].…”

Section: Mathematical Distribution Of Rtsmentioning

confidence: 99%

Power-Law Distribution of Natural Visibility Graphs from Reaction Times Series

2019

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In this study, we analyze the response times of students to yes/no decision tasks from the perspective of network science. We analyze the properties of the natural visibility graphs (NVG) associated with their reaction time series. We observe that the degree distribution of these graphs usually fits a power-law distribution px = x-α. We study the range in which parameter α occurs and the changes of this exponent with respect to the age and gender of the students. In addition to this, we also study the links between the parameter α and the parameters of the ex-Gaussian distribution that best fit the response times for each subject.

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“…RT distributions are asymmetric functions [4,5], which cannot be fully described by the mean and standard deviations [6]. The ex-Gaussian parameters obtained from fitting reaction time distributions to visual stimuli are interpretable in relation to cognitive disorders as certain correlations are evidenced to exist [7][8][9][10][11][12][13]. This is the case of Attention Deficit and Hyperactivity Disorder (ADHD), the most usual diagnosed cognitive disorder in school-aged children.…”

Section: Introductionmentioning

confidence: 99%

“…Coefficient of determinationas a function of the dispersion of the SD of the Gaussian components (k = 3, 5). The points in the plot have been connected by means of RKHS interpolations[9,10].…”

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confidence: 99%

Monte Carlo Simulation of a Modified Chi Distribution with Unequal Variances in the Generating Gaussians. A Discrete Methodology to Study Collective Response Times

et al. 2020

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The Chi distribution is a continuous probability distribution of a random variable obtained from the positive square root of the sum of k squared variables, each coming from a standard Normal distribution (mean = 0 and variance = 1). The variable k indicates the degrees of freedom. The usual expression for the Chi distribution can be generalised to include a parameter which is the variance (which can take any value) of the generating Gaussians. For instance, for k = 3, we have the case of the Maxwell-Boltzmann (MB) distribution of the particle velocities in the Ideal Gas model of Physics. In this work, we analyse the case of unequal variances in the generating Gaussians whose distribution we will still represent approximately in terms of a Chi distribution. We perform a Monte Carlo simulation to generate a random variable which is obtained from the positive square root of the sum of k squared variables, but this time coming from non-standard Normal distributions, where the variances can take any positive value. Then, we determine the boundaries of what to expect when we start from a set of unequal variances in the generating Gaussians. In the second part of the article, we present a discrete model to calculate the parameter of the Chi distribution in an approximate way for this case (unequal variances). We also comment on the application of this simple discrete model to calculate the parameter of the MB distribution (Chi of k = 3) when it is used to represent the reaction times to visual stimuli of a collective of individuals in the framework of a Physics inspired model we have published in a previous work.

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The Effect of Corrective Feedback on Performance in Basic Cognitive Tasks: An Analysis of RT Components

Cited by 22 publications

References 31 publications

Age slowing down in detection and visual discrimination under varying presentation times

Age slowing down in detection and visual discrimination under varying presentation times

Power-Law Distribution of Natural Visibility Graphs from Reaction Times Series

Monte Carlo Simulation of a Modified Chi Distribution with Unequal Variances in the Generating Gaussians. A Discrete Methodology to Study Collective Response Times

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