每周论坛之十五（总第196期）：陈劲松&陈曦甜（中山大学），2019年1月7日下午

报告人：陈劲松副教授，陈曦甜（本科大四，保研中大）

报告人单位：中山大学心理学系

题目：Diagnostic measurement of maximal and typical performance under the General Polytomous Diagnosis Modeling framework

时间：2019年1月7日 （周一，14:20-16:00）

地点：中山大学东校园心理学系（南学院楼C座）305

报告简介：

Diagnostic measurement based on the cognitive diagnosis models (CDMs) is increasingly popular in educational and psychological testing. It aims to diagnose examinees’ attribute profile on a finer grain size and is criterion-referenced, capable of informing the absolute standing of the respondents with regard to external criteria. Polytomous responses such as partial credit or Likert scale are widely available in social and behavioral settings. This research extends the general polytomous diagnosis model (GPDM) to address polytomous responses for maximal performance (e.g. partial credit) or typical performance (e.g. Likert or rating scale) more effectively. For maximal performance reduced models under the dichotomous context can be extended to polytomous responses to address the compensatory or conjunctive relationships. For typical performance, three new models are proposed, which can provide more meaningful parameters for the Likert or rating scales. With these developments, diagnostic measurement is ready for a wide range of applications across various educational and psychological settings.

报告人简介：

   陈劲松，博士，中山大学心理学系副教授。研究兴趣为教育与心理测量、量化研究方法、教育与认知评估。