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| CAT选题策略分类概述 | |
| 引用本文： | 简小珠,戴海琦,张敏强,彭春妹.CAT选题策略分类概述[J].心理学探新,2014,34(5):446-451. |
| 作者姓名： | 简小珠 戴海琦 张敏强 彭春妹 |
| 作者单位： | 1. 江西师范大学心理学院,江西省心理与认知科学重点实验室,南昌330022;井冈山大学教师教育研究中心,吉安343009 2. 江西师范大学心理学院,江西省心理与认知科学重点实验室,南昌330022 3. 华南师范大学应用心理研究中心,广州,510631 4. 井冈山大学教师教育研究中心,吉安,343009 |
| 基金项目： | 江西省教育科学“十二五”规划课题，江西省社会科学规划项目，国家自然科学基金项目，井冈山大学人文社会科学课题 |
| 摘 要： | 选题是计算机化自适应测验（CAT）测试过程的关键环节,选题策略的目标是要达到较高的测量精度,同时也实现试题曝光率控制及其他测验目标的实现.本文根据选题策略的基本原理和衍生发展,将众多CAT选题策略分为五大选题策略系列：Fisher函数系列、K-LI函数系列、α分层系列、贝叶斯系列、b匹配系列;并根据测验目标（测验精度、试题曝光率控制、内容平衡、多条件约束）对这些选题策略进行了细分,并对CAT选题策略的选择思路进行归纳. |
| 关 键 词： | CAT 选题策略 Fisher函数 K—u函数 α分层 贝叶斯选题策略 b匹配方法 |
An Overview and Comments of Item Selection Strategies in CAT |
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| Jian Xiaozhu,Dai Haiqi,Zhang Minqiang,Peng Chunmei.An Overview and Comments of Item Selection Strategies in CAT[J].Exploration of Psychology,2014,34(5):446-451. | |
| Authors: | Jian Xiaozhu Dai Haiqi Zhang Minqiang Peng Chunmei |
| Institution: | Jian Xiaozhu, Dai Haiqi , Zhang Minqiang , Peng Chunmei (1. School of Psychology,Jiangxi Key Laboratory of Psychology and Cognitive Science,Jiangxi Normal University, Nanchang 330022 ;2. Education Research Centre, Jinggangshan University, Ji＇ an 343009 ; 3. Center for Psychological Application, South China Normal University, Guangzhou 510631 ) |
| Abstract: | Item selection strategies is the important process of Computerized Adaptive Test（CAT）. Its goal is to achieve high precision, while also taking into account for the item exposure rate control and other conditions of the test target control. Based on the mathematical principles and its main aims of item selection strategies, item selection strategies are divided into five types ： （ 1 ） Fisher information function item selection strategy and its derivative strategies;（2）K -L information function item selection strategy and its derivative strate- gies ; （ 3 ） α - stratified strategy and its derivative strategies; （4） Bayesian strategies and its derivative strategies ; （ 5 ） b - matching strategies and its derivative strategies. These five types series strategies were overviewed and summarized. The author also gives the recom- mendations for item selection strategies under different test cases. |
| Keywords: | CAT item selection strategies Fisher information function K -L information function α -stratified strategy Bayesian strategies b - matching strategies |
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