scholarly journals Modeling Conditional Dependence of Response Accuracy and Response Time with the Diffusion Item Response Theory Model

2021 ◽  
Author(s):  
Inhan Kang ◽  
Paul De Boeck ◽  
Roger Ratcliff
Keyword(s):  
Response Time ◽  
Item Difficulty ◽  
Theory Model ◽  
Cognitive Capacity ◽  
Extended Model ◽  
Response Accuracy ◽  
Parameter Recovery ◽  
Conditional Dependence ◽  
Proposed Model ◽  
Conditional Dependency

In this paper, we propose a model-based method to study conditional dependence be- tween response accuracy and response time (RT) with the diffusion IRT model. To this end, we extend the previously proposed model by introducing variability across persons and items in cognitive capacity and in the initial bias of the response processes. We show that the extended model can explain the behavioral patterns of conditional dependency found in the previous studies in psychometrics. The first variability component in cognitive capacity can predict positive and negative conditional dependency and their interaction with the item difficulty. The second variability in the initial bias can account for the early changes in the response accuracy as a function of RTs given the person and item effects, producing the curvilinear conditional accuracy functions. We also provide a simulation study to validate the parameter recovery of the proposed model and two empirical applications to describe how to implement the model to study conditional dependency underlying data response accuracy and RTs.

scholarly journals A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data

Psychometrika ◽  
2021 ◽  
Author(s):  
Esther Ulitzsch ◽  
Steffi Pohl ◽  
Lale Khorramdel ◽  
Ulf Kroehne ◽  
Matthias von Davier
Keyword(s):  
Response Time ◽  
Response Patterns ◽  
Response Behavior ◽  
Data Set ◽  
Parameter Recovery ◽  
Model Based ◽  
Proposed Model ◽  
Item Level ◽  
Different Types ◽  
Theoretical Considerations

AbstractCareless and insufficient effort responding (C/IER) can pose a major threat to data quality and, as such, to validity of inferences drawn from questionnaire data. A rich body of methods aiming at its detection has been developed. Most of these methods can detect only specific types of C/IER patterns. However, typically different types of C/IER patterns occur within one data set and need to be accounted for. We present a model-based approach for detecting manifold manifestations of C/IER at once. This is achieved by leveraging response time (RT) information available from computer-administered questionnaires and integrating theoretical considerations on C/IER with recent psychometric modeling approaches. The approach a) takes the specifics of attentive response behavior on questionnaires into account by incorporating the distance–difficulty hypothesis, b) allows for attentiveness to vary on the screen-by-respondent level, c) allows for respondents with different trait and speed levels to differ in their attentiveness, and d) at once deals with various response patterns arising from C/IER. The approach makes use of item-level RTs. An adapted version for aggregated RTs is presented that supports screening for C/IER behavior on the respondent level. Parameter recovery is investigated in a simulation study. The approach is illustrated in an empirical example, comparing different RT measures and contrasting the proposed model-based procedure against indicator-based multiple-hurdle approaches.

scholarly journals Identifying Effortful Individuals With Mixture Modeling Response Accuracy and Response Time Simultaneously to Improve Item Parameter Estimation

2020 ◽  
Vol 80 (4) ◽  
pp. 775-807
Author(s):  
Yue Liu ◽  
Ying Cheng ◽  
Hongyun Liu
Keyword(s):  
Parameter Estimation ◽  
Response Time ◽  
Mixture Model ◽  
Response Times ◽  
Latent Trait ◽  
Item Parameter ◽  
Parameter Estimates ◽  
Response Accuracy ◽  
Parameter Recovery ◽  
Item Parameter Estimation

The responses of non-effortful test-takers may have serious consequences as non-effortful responses can impair model calibration and latent trait inferences. This article introduces a mixture model, using both response accuracy and response time information, to help differentiating non-effortful and effortful individuals, and to improve item parameter estimation based on the effortful group. Two mixture approaches are compared with the traditional response time mixture model (TMM) method and the normative threshold 10 (NT10) method with response behavior effort criteria in four simulation scenarios with regard to item parameter recovery and classification accuracy. The results demonstrate that the mixture methods and the TMM method can reduce the bias of item parameter estimates caused by non-effortful individuals, with the mixture methods showing more advantages when the non-effort severity is high or the response times are not lognormally distributed. An illustrative example is also provided.

Dual Release Model to Evaluate Dissolution Profiles from Swellable Drug Polyelectrolyte Matrices

2020 ◽  
Vol 17 (6) ◽  
pp. 511-522 ◽  
Author(s):  
Alicia Graciela Cid ◽  
María Verónica Ramírez-Rigo ◽  
María Celeste Palena ◽  
Elio Emilio Gonzo ◽  
Alvaro Federico Jimenez-Kairuz ◽  
...  
Keyword(s):  
Experimental Data ◽  
Drug Release ◽  
Inflection Point ◽  
Release Profile ◽  
Experimental Point ◽  
Extended Model ◽  
Release Process ◽  
Proposed Model ◽  
Dual Release ◽  
Release Model

Background: Mathematical modeling in modified drug release is an important tool that allows predicting the release rate of drugs in their surrounding environment and elucidates the transport mechanisms involved in the process. Objective: The aim of this work was to develop a mathematical model that allows evaluating the release profile of drugs from polymeric carriers in which the swelling phenomenon is present. Methods: Swellable matrices based on ionic complexes of alginic acid or carboxymethylcellulose with ciprofloxacin were prepared and the effect of adding the polymer sodium salt on the swelling process and the drug release was evaluated. Experimental data from the ciprofloxacin release profiles were mathematically adjusted, considering the mechanisms involved in each stage of the release process. Results: A proposed model, named “Dual Release” model, was able to properly fit the experimental data of matrices presenting the swelling phenomenon, characterized by an inflection point in their release profile. This entails applying the extended model of Korsmeyer-Peppas to estimate the percentage of drug released from the first experimental point up to the inflection point and then a model called Lumped until the final time, allowing to adequately represent the complete range of the drug release profile. Different parameters of pharmaceutical relevance were calculated using the proposed model to compare the profiles of the studied matrices. Conclusion: The “Dual Release” model proposed in this article can be used to predict the behavior of complex systems in which different mechanisms are involved in the release process.

scholarly journals Performance of normative and approximate evidence accumulation on the dynamic clicks task

2019 ◽  
Author(s):  
Adrian E. Radillo ◽  
Alan Veliz-Cuba ◽  
Krešimir Josić ◽  
Zachary P. Kilpatrick
Keyword(s):  
Model Fitting ◽  
Decision Making Process ◽  
Response Accuracy ◽  
Parameter Recovery ◽  
Ideal Observers ◽  
Log Likelihood ◽  
Left And Right ◽  
Normative Models ◽  
Task Parameters ◽  
Sensory Noise

The aim of a number of psychophysics tasks is to uncover how mammals make decisions in a world that is in flux. Here we examine the characteristics of ideal and near–ideal observers in a task of this type. We ask when and how performance depends on task parameters and design, and, in turn, what observer performance tells us about their decision-making process. In the dynamic clicks task subjects hear two streams (left and right) of Poisson clicks with different rates. Subjects are rewarded when they correctly identify the side with the higher rate, as this side switches unpredictably. We show that a reduced set of task parameters defines regions in parameter space in which optimal, but not near-optimal observers, maintain constant response accuracy. We also show that for a range of task parameters an approximate normative model must be finely tuned to reach near-optimal performance, illustrating a potential way to distinguish between normative models and their approximations. In addition, we show that using the negative log-likelihood and the 0/1-loss functions to fit these types of models is not equivalent: the 0/1-loss leads to a bias in parameter recovery that increases with sensory noise. These findings suggest ways to tease apart models that are hard to distinguish when tuned exactly, and point to general pitfalls in experimental design, model fitting, and interpretation of the resulting data.

Perceptual-Cognitive Expertise in Sport: A Meta-Analysis

2007 ◽  
Vol 29 (4) ◽  
pp. 457-478 ◽  
Author(s):  
Derek T.Y. Mann ◽  
A. Mark Williams ◽  
Paul Ward ◽  
Christopher M. Janelle
Keyword(s):  
Response Time ◽  
Meta Analysis ◽  
Empirical Work ◽  
Stimulus Presentation ◽  
Cognitive Skill ◽  
Response Accuracy ◽  
Perceptual Cues ◽  
Presentation Modality ◽  
Quiet Eye ◽  
Analytic Review

Research focusing on perceptual-cognitive skill in sport is abundant. However, the existing qualitative syntheses of this research lack the quantitative detail necessary to determine the magnitude of differences between groups of varying levels of skills, thereby limiting the theoretical and practical contribution of this body of literature. We present a meta-analytic review focusing on perceptual-cognitive skill in sport (N = 42 studies, 388 effect sizes) with the primary aim of quantifying expertise differences. Effects were calculated for a variety of dependent measures (i.e., response accuracy, response time, number of visual fixations, visual fixation duration, and quiet eye period) using point-biserial correlation. Results indicated that experts are better than nonexperts in picking up perceptual cues, as revealed by measures of response accuracy and response time. Systematic differences in visual search behaviors were also observed, with experts using fewer fixations of longer duration, including prolonged quiet eye periods, compared with nonexperts. Several factors (e.g., sport type, research paradigm employed, and stimulus presentation modality) significantly moderated the relationship between level of expertise and perceptual-cognitive skill. Practical and theoretical implications are presented and suggestions for empirical work are provided.

A Hybrid Multiple Parallel Queuing Model to Enhance QoS in Cloud Computing

2020 ◽  
Vol 12 (1) ◽  
pp. 18-34 ◽  
Author(s):  
Shahbaz Afzal ◽  
G. Kavitha
Keyword(s):  
Cloud Computing ◽  
Response Time ◽  
Waiting Time ◽  
Queue Length ◽  
Utilization Rate ◽  
Queuing Model ◽  
Total Response Time ◽  
Proposed Model ◽  
Mathematical Equations ◽  
And Performance

Among the different QoS metrics and parameters considered in cloud computing are the waiting time of cloud tasks, execution time of tasks in VM's, and the utilization rate of servers. The proposed model was developed to overcome some of the pitfalls in the existing systems among which are sub-optimal markdown in the queue length, waiting time, response time, and server utilization rate. The proposed model contemplates on the enhancement of these metrics using a Hybrid Multiple Parallel Queuing approach with a joint implementation of M/M/1: ∞ and M/M/s: N/FCFS to achieve the desired objectives. A neoteric set of mathematical equations have been formulated to validate the efficiency and performance of the hybrid queuing model. The results have been validated with reference to the workload traces of Bit Brains infrastructure provider. The results obtained indicate the significant reduction in the queue length by 60.93 percent, waiting time in the queue by 73.85 percent, and total response time by 97.51%.

Hydraulic Analytical Model of the BOP Control System to Estimate Related Response Times

2018 ◽  
Author(s):  
José Luis Párraga Quispe ◽  
Segen F. Estefen ◽  
Nilo de Moura Jorge ◽  
Marcelo Igor Lourenço Souza
Keyword(s):  
Control System ◽  
Response Time ◽  
Response Times ◽  
Drill Pipe ◽  
Equilibrium Pressure ◽  
Campos Basin ◽  
System Equilibrium ◽  
Proposed Model ◽  
Blowout Preventer ◽  
Surface Test

During activities of ultra-deepwater exploration using drilling vessels an emergency disconnection between Lower Marine Riser Package (LMRP) and Blowout Preventer (BOP) stack could occur due to extreme environmental conditions. The disconnection is not instantaneous; it takes time due to the discharge of pressurized liquid from the system of hydraulic accumulators and the entire process is known as emergency disconnect sequence — EDS. Therefore, estimate the response time of the BOP control system is important to avoid damages that compromise the drillship safe operation. In this study, the BOP control system uses a hydraulic system constituted of accumulator bottles, a pressure regulator, rams, valves, and connectors. This system is considered to estimate the response time of cutting and sealing the BOP. The response time is estimated by applying the theory of fluid mechanics and Bernoulli equation to calculate the system equilibrium pressure. The accumulators are sized according to API 16 D and considered to have adiabatic behavior. Nitrogen is simulated as real gas. The validation of the proposed model is performed by comparison with a surface test for cutting of drill pipe with blind shear ram. The model is applied to a case study for ultra-deepwater in Campos Basin Brazil.

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