Item response and response time model for personality assessment via linear ballistic accumulation
Item response and response time model for personality assessment via linear ballistic accumulation
复制标题
通过线性弹道累积进行人格评估的项目响应和响应时间模型
DOI：
10.1007/s42081-019-00040-4
复制
发表时间：
2019
影响因子：
1.3
通讯作者：
K.
中科院分区：
文献类型：
--
作者：
Bunji;K.;& Okada;K.
在结合线性弹道累积(LBA)和项目反应理论(IRT)的基础上，提出了一类新的项目反应模型--LBA IRT。我们的主要目标是开发一种简单而有效的替代扩散IRT模型，该模型是最著名的包含RT的IRT模型之一，它显式地模拟了激发项目反应的潜在心理过程。通过仿真研究表明，与扩散IRT模型相比，该模型能够获得相应的参数估计，同时收敛速度更快。此外，对真实人格测量数据的应用表明，该模型比扩散IRT模型具有更好的预测性能。因此，所提出的模型在捕捉潜在于观察数据的认知和心理测量过程方面表现出良好的性能和良好的建模能力。
On the basis of a combination of linear ballistic accumulation (LBA) and item response theory (IRT), this paper proposes a new class of item response models, namely LBA IRT, which incorporates the observed response time (RT) by means of LBA. Our main objective is to develop a simple yet effective alternative to the diffusion IRT model, which is one of best-known RT-incorporating IRT models that explicitly models the underlying psychological process of the elicited item response. Through a simulation study, we show that the proposed model enables us to obtain the corresponding parameter estimates compared with the diffusion IRT model while achieving a much faster convergence speed. Furthermore, the application of the proposed model to real personality measurement data indicates that it fits the data better than the diffusion IRT model in terms of its predictive performance. Thus, the proposed model exhibits good performance and promising modeling capabilities in terms of capturing the cognitive and psychometric processes underlying the observed data.