Guo Zhichen, Wang Daxun, Cai Yan, Tu Dongbo
Jiangxi Normal University, Nanchang, China.
Educ Psychol Meas. 2024 Jun;84(3):450-480. doi: 10.1177/00131644231171193. Epub 2023 Jun 4.
Forced-choice (FC) measures have been widely used in many personality or attitude tests as an alternative to rating scales, which employ comparative rather than absolute judgments. Several response biases, such as social desirability, response styles, and acquiescence bias, can be reduced effectively. Another type of data linked with comparative judgments is response time (RT), which contains potential information concerning respondents' decision-making process. It would be challenging but exciting to combine RT into FC measures better to reveal respondents' behaviors or preferences in personality measurement. Given this situation, this study aims to propose a new item response theory (IRT) model that incorporates RT into FC measures to improve personality assessment. Simulation studies show that the proposed model can effectively improve the estimation accuracy of personality traits with the ancillary information contained in RT. Also, an application on a real data set reveals that the proposed model estimates similar but different parameter values compared with the conventional Thurstonian IRT model. The RT information can explain these differences.
迫选（FC）测量方法已在许多人格或态度测试中广泛使用，作为评级量表的替代方法，评级量表采用的是比较判断而非绝对判断。一些反应偏差，如社会赞许性、反应方式和默许偏差，都可以有效减少。与比较判断相关的另一类数据是反应时间（RT），它包含有关受访者决策过程的潜在信息。将反应时间纳入迫选测量以更好地揭示受访者在人格测量中的行为或偏好，这将具有挑战性但令人兴奋。鉴于这种情况，本研究旨在提出一种新的项目反应理论（IRT）模型，该模型将反应时间纳入迫选测量以改进人格评估。模拟研究表明，所提出的模型可以利用反应时间中包含的辅助信息有效提高人格特质的估计准确性。此外，在一个真实数据集上的应用表明，与传统的瑟斯顿IRT模型相比，所提出的模型估计的参数值相似但不同。反应时间信息可以解释这些差异。
