Studies of Psychology and Behavior ›› 2023, Vol. 21 ›› Issue (6): 760-769.DOI: 10.12139/j.1672-0628.2023.06.006

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Research on Test Assembly of Item Discrimination Index Under Polytomous Attributes and Mixed Scoring Items

Dafu MA1,2, Chunying QIN1,3, Xiaofeng YU1,*(), Cui HE1   

  1. 1. School of Psychology, Jiangxi Normal University, Nanchang 330022
    2. Jinan Institute for Education and Teaching Research, Jinan 250002
    3. School of Mathematics and Information Science, Nanchang Normal University, Nanchang 330032
  • Received:2022-08-13 Online:2023-11-20 Published:2023-11-20
  • Contact: Xiaofeng YU

项目区分度指标在属性多水平和混合计分项目下的组卷研究

马大付1,2, 秦春影1,3, 喻晓锋1,*(), 何催1   

  1. 1. 江西师范大学心理学院,南昌 330022
    2. 济南市教育教学研究院,济南 250002
    3. 南昌师范学院数学与信息科学学院,南昌 330032
  • 通讯作者: 喻晓锋
  • 基金资助:
    国家自然科学基金项目(32360208,62341207);教育部教育考试院“十四五”规划支撑专项课题(NEEA2021050)

Abstract: In this study, two item discrimination indices (CDI, ADI) and two general modified item discrimination indices (GMCDI, GMADI) were used for polytomous attribute diagnosis test assembly. Two simulation studies were conducted considering three real-world testing scenarios: Study 1, an independent test of dichotomous and polytomous scoring items; Study 2, a mixed test of dichotomous and polytomous scoring items. The results indicate that GMCDI and GMADI can obtain the highest diagnosis accuracy, and are not affected by attribute hierarchy and test type.

Key words: item discrimination index, CD-ATA, polytomous attributes, dichotomous scoring, polytomous scoring

摘要: 将两种项目区分度指标(CDI、ADI)及两种扩展项目区分度指标(GMCDI、GMADI)用于属性多水平诊断测验组卷。考虑三种实际测验情景,开展两项研究:研究1,二级与多级计分项目独立组卷测验;研究2,二级与多级计分项目混合组卷测验。结果表明,GMCDI与GMADI组卷方法可获得最高诊断精度,且不受属性层级结构与测验类型影响。

关键词: 项目区分度指标, 认知诊断自动测验组卷, 属性多水平, 二级计分, 多级计分

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