首页 | 本学科首页   官方微博 | 高级检索  
   检索      

IRT展开模型及对非累积反应机制的检测
引用本文:郭庆科,苗金凤,王昭.IRT展开模型及对非累积反应机制的检测[J].心理学探新,2006,26(1):66-69,78.
作者姓名:郭庆科  苗金凤  王昭
作者单位:1. 辽宁师范大学,心理学系,大连,116029
2. 辽宁师范大学,海华学院,大连116029
摘    要:被试回答人格测验题目时并不是特质水平越高其得分率越高,这称为非累积反应机制。广义等级展开模型GGUM就是针对这一机制提出来的。使用EPQ和五因素人格问卷发现GGUM比累积IRT模型有更好的模型拟合度和测量精度。研究结果表明GGUM有其合理性,且有助于反应心理过程机制的深入探讨。

关 键 词:非累积IRT模型  广义等级展开模型GGUM  模型拟合
文章编号:1003-5184(2006)01-0066-04

Unfolding IRT Model and the Non-cumulative Response Mechanism in Personality Tests
Guo Qingke,Miao Jinfeng,Wang Weili.Unfolding IRT Model and the Non-cumulative Response Mechanism in Personality Tests[J].Exploration of Psychology,2006,26(1):66-69,78.
Authors:Guo Qingke  Miao Jinfeng  Wang Weili
Institution:1. Department of Psychology, Laoning Normal University, Dalian 116029 ; 2. HaiHua College, Liaoning Normal University, Dalian 116029
Abstract:People with high trait level will not necessarily get high scores when responding to non-cognitive items,this is called non-cumulative response mechanism.Generalized Graded Unfolding Model(GGUM) is an IRT model developed to solve this problem in personality.In this study EPQ and NEO-FFI were administered to 991 and 1017 students,the results show that GGUM can fit the data better and provide more information than cumulative IRT models(2PLM and SGRM).The study also suggests that the issues of model fit and response mechanism in personality should be further studied.
Keywords:Non-cumulative IRT Model  Generalized Graded Unfolding Model  Model-Data Fit
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号