ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

心理科学进展 ›› 2020, Vol. 28 ›› Issue (9): 1462-1477.doi: 10.3724/SP.J.1042.2020.01462

• 研究方法 • 上一篇    下一篇

心理与教育测验中异常反应侦查新技术:变点分析法

张龙飞, 王晓雯, 蔡艳, 涂冬波()   

  1. 江西师范大学心理学院, 南昌 330022
  • 收稿日期:2019-10-12 出版日期:2020-09-15 发布日期:2020-07-24
  • 通讯作者: 涂冬波 E-mail:tudongbo@aliyun.com
  • 基金资助:
    * 国家自然科学基金项目(31960186);国家自然科学基金项目(31760288);国家自然科学基金项目资助(31660278)

Change point analysis: A new method to detect aberrant responses in psychological and educational testing

ZHANG Longfei, WANG Xiaowen, CAI Yan, TU Dongbo()   

  1. School of Psychology, Jiangxi Normal University, Nanchang 330022, China
  • Received:2019-10-12 Online:2020-09-15 Published:2020-07-24
  • Contact: TU Dongbo E-mail:tudongbo@aliyun.com

摘要:

变点分析法(change point analysis, CPA)近些年才引入心理与教育测量学, 相较于传统方法, CPA不仅可以侦查异常作答被试, 还能自动精确地定位变点位置, 高效清洗作答数据。其原理在于:判断作答序列中是否存在可将该序列划分为具有不同统计学属性两部分的点(即变点), 并且需使用被试拟合统计量(person-fit statistic, PFS)来量化两个子序列之间的差异。未来可将单变点分析拓展至多变点, 结合反应时等信息, 构建非参数化指标以及将现有指标拓展至多级计分或多维测验, 以提高CPA的适用广度及效力。

关键词: 异常反应, 变点分析法, 累积和法, 被试拟合统计量

Abstract:

The change point analysis (CPA), as one of the most widely used methods for statistical process control, is introduced to psychological and educational measurement for detection of aberrant response patterns in recent years. CPA outperforms the traditional method as follows: In addition to detecting aberrant response patterns, it can also pinpoint the locations of change points, contributing to efficient cleansing of response data. The method is employed to determine whether there is a point so that the complete sequence can be divided into two parts with different statistical properties, where person-fit statistics (PFS) is needed for quantifying the difference between two sub-sequences. Future researchers should pay more attention to multiple change points detection, making full use of other effective information like response time data, developing non-parametric indices as well as reforming the exiting person-fit statistics for polytomous and multidimensional tests, so as to enhance its applicability and power.

Key words: aberrant responses, change point analysis, cumulative summation, person-fit statistics

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