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多级评分模型下的题库结构对CAT的影响分析
引用本文:程小扬,丁树良,巫华芳,朱隆尹. 多级评分模型下的题库结构对CAT的影响分析[J]. 心理学探新, 2014, 34(5): 452-456
作者姓名:程小扬  丁树良  巫华芳  朱隆尹
作者单位:1. 赣南师范学院数学与计算机学院,赣州,341000
2. 江西师范大学计算机信息工程学院,南昌,330022
基金项目:国家自然科学基金项目,江西省青年科学基金,江西省教学改革研究课题
摘    要:在多级评分模型下,项目的难度参数或步骤参数有多个,在对多级评分模型进行选题时,通常对项目的多个难度参数用一个综合的指标来概括.当对每个项目的难度参数进行有效的综合后,综合后的难度参数分布发生了改变,这时如果增加适量的平均难度较难或较易的项目进入题库,测验的精度和项目的曝光率都有一定的改善.

关 键 词:CAT  题库结构  多级评分模型  GPCM

The Impact of Bank Structure on CAT under Multi-level Scoring Model
Cheng Xiaoyang,Ding Shuliang,Wu Huafang,Zhu Longyin. The Impact of Bank Structure on CAT under Multi-level Scoring Model[J]. Exploration of Psychology, 2014, 34(5): 452-456
Authors:Cheng Xiaoyang  Ding Shuliang  Wu Huafang  Zhu Longyin
Affiliation:Cheng Xiaoyang , Ding Shuliang, Wu Huafang , Zhu Longyin (1. College of Mathematics and Computer, Garman Normal University, Ganzhou 341000; 2. Computer Information Engineer College,Jiangxi Normal University,Nanchang 330022)
Abstract:In the multi -level scoring model, usually there are a few item difficulty parameters and step parameters. Generally, a comprehensive index is used to synthesize multiple item difficulty parameters when items are selected in the case. The distribution of the difficulty parameter varies obtained by summarizing each item's effectively. The test accuracy and item exposure rate all get a certain improved after adding some items into the bank which are more difficult( or easier)than the average difficulty.
Keywords:computerized adaptive testing  bank structure  multi - level scoring model  GPCM
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