报告题目： A generalized semi-parametric model for jointly analyzing response times and accuracy in computerized testing

时间：2022年10月13日（周四）晚上18：00

会议方式：腾讯会议（会议号：330-7978-2053）

摘要：

The Cox proportional hazards model has been widely used for modeling response-time data in educational and psychological research. However, based on the Kaplan-Meier (KM) plots in an empirical example, we find that the proportionality of the hazard ratios does not seem to be an appropriate assumption, and there are considerable differences in survival rates among different items. To overcome such a problem, we consider a class of flexible nonproportional hazards models known as the generalized odds-rate hazards class of regression models. This class is general enough to include several commonly used models, including the proportional hazards model and the proportional odds model, as special cases. A fully Bayesian method is developed for parameter estimation and the deviance information criterion (DIC) and the logarithm of the pseudomarginal likelihood (LPML) are employed for model comparison. Simulation studies are conducted and a detailed analysis of the Programme for International Student Assessment (PISA) science data is carried out to further illustrate the proposed methodology.

主讲人简介：

刘芳：苏州大学，博士，博士毕业于东北师范大学，康涅狄格大学访问学者，苏州大学博士后。标志性成果发表于本研究领域的顶刊Psychometrika上。研究方向包括：生存分析、教育统计、贝叶斯统计和计算。