题 目：General Processing Tree (GPT) models and its applications in psychology and social sciences
主讲人：Xiangen Hu 教授（University of Memphis,华中师范大学心理学院）
时 间: 2023年3月1日（周三）下午15：00-16：30
General Processing Tree (GPT) Models are a statistical modeling family that can be represented as a tree structure, commonly used in analyzing categorical observations in social sciences and psychology. This talk will cover the history and past research and applications of GPT models, including recent extensions. The application of GPT models in data analysis will also be demonstrated. GPT models are also part of "cognitive psychometrics", which seeks to understand cognitive processes and measure their underlying structure. These models offer a way to study how people make categorical decisions based on cognitive processes. In summary, the talk will introduce GPT models, discuss their history and previous applications, present current extensions, and demonstrate their use in data analysis. The GPT model is a valuable tool in cognitive psychometrics for understanding categorical decision-making processes.
Dr. Xiangen Hu is a professor in the Department of Psychology, Department of Electrical and Computer Engineering and Computer Science Department at The University of Memphis (UofM) and senior researcher at the Institute for Intelligent Systems (IIS) at the UofM and is professor and Dean of the School of Psychology at Central China Normal University (CCNU). Dr. Hu received his MS in applied mathematics from Huazhong University of Science and Technology, MA in social sciences and Ph.D. in Cognitive Sciences from the University of California, Irvine. Dr. Hu is the Director of Advanced Distributed Learning (ADL) Partnership Laboratory at the UofM, and is a senior researcher in the Chinese Ministry of Education’s Key Laboratory of Adolescent Cyberpsychology and Behavior.
Dr. Hu's primary research areas include Mathematical Psychology, Research Design and Statistics, and Cognitive Psychology. More specific research interests include General Processing Tree (GPT) models, categorical data analysis, knowledge representation, computerized tutoring, and advanced distributed learning. Dr. Hu has received funding for the above research from the US National Science Foundation (NSF), US Institute of Education Sciences (IES), ADL of the US Department of Defense (DoD), US Army Medical Research Acquisition Activity (USAMRAA), US Army Research Laboratories (ARL), US Office of Naval Research (ONR), UofM, and CCNU.