生物计量和心理计量评估的桥接模型:项目反应、反应时间和注视计数的三方联合建模方法。

IF 1 4区 心理学 Q4 PSYCHOLOGY, MATHEMATICAL
Kaiwen Man, Jeffrey R Harring, Peida Zhan
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引用次数: 3

摘要

最近,为了更好地评估和理解考生的学习过程,人们提出了项目反应数据和反应时间的联合模型。本文演示了如何将从眼动追踪机获得的注视计数等生物特征信息集成到测量模型中。提出的联合建模框架通过个人侧方差协方差结构容纳了考生潜在能力、工作速度和测试投入水平之间的关系,同时允许通过项目侧方差协方差结构对项目难度、时间强度和投入强度进行建模。采用贝叶斯估计方法对模型进行拟合。引入了基于对应于不同模型成分的三种差异度量的后验预测模型检验来评估模型数据的拟合。蒙特卡罗仿真结果和实验数据分析结果证明了该模型的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Bridging Models of Biometric and Psychometric Assessment: A Three-Way Joint Modeling Approach of Item Responses, Response Times, and Gaze Fixation Counts.

Bridging Models of Biometric and Psychometric Assessment: A Three-Way Joint Modeling Approach of Item Responses, Response Times, and Gaze Fixation Counts.

Recently, joint models of item response data and response times have been proposed to better assess and understand test takers' learning processes. This article demonstrates how biometric information such as gaze fixation counts obtained from an eye-tracking machine can be integrated into the measurement model. The proposed joint modeling framework accommodates the relations among a test taker's latent ability, working speed and test engagement level via a person-side variance-covariance structure, while simultaneously permitting the modeling of item difficulty, time-intensity, and the engagement intensity through an item-side variance-covariance structure. A Bayesian estimation scheme is used to fit the proposed model to data. Posterior predictive model checking based on three discrepancy measures corresponding to various model components are introduced to assess model-data fit. Findings from a Monte Carlo simulation and results from analyzing experimental data demonstrate the utility of the model.

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来源期刊
CiteScore
2.30
自引率
8.30%
发文量
50
期刊介绍: Applied Psychological Measurement publishes empirical research on the application of techniques of psychological measurement to substantive problems in all areas of psychology and related disciplines.
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