中国临床心理学杂志

个人拟合指标在Likert型人格测验中的应用

作者：王昭¹ 郭庆科²

单位：1. 大连医科大学人文与社会科学学院大连 116044
2. 山东师范大学心理学院济南 250014

关键词：个人拟合指标等级项目反应理论 Likert量表 Monte Carlo模拟

分类号：R395.1

出版年,卷(期):页码：2016,24(3):470-474

摘要：

目的：以Guttman理想模型和等级计分项目反应理论作为基础，探讨似然估计个人拟合指数L在Likert人格量表中的有效性。方法：模拟研究采用Monte Carlo方法，项目数为40，0，1，2三等级计分。项目参数包括难度和区分度，样本容量为1000，一次实验中重复模拟100次；实际数据以大五人格简化版（FFI）为研究工具，对1108名大学生和高中生进行施测，考察L对FFI信效度的影响。结果：模拟研究表明L在Likert量表中接近正态分布，L对各类型偏差个体均具有较好的检测效果，对各类偏差反应正确拒绝率均在95%左右，对于随机反应和折中反应报准率为100%；实际研究结果表明删除不同比例拟合较差个体后量表α信度和结构效度均明显增加，删除50%不拟合个体后A、C、E、N、O量表α信度分别由原来的0.635、0.789、0.725、0.830、0.714提升至0.727、0.871、0.823、0.913、0.841，χ²/df分别由原来的7.594、6.999、10.872、16.445、14.047降至3.113、2.432、3.635、3.784、7.093。结论：个人拟合指数L在Likert人格量表中能够有效地检测反应偏差个体。

Objective: To explore the fitful of L in Likert-type scales.This article proposes L for assessing individual fit based on two theory models:the Guttman's psychometric model and Graded response mode.Methods: Carlo Monte data simulation method was used,the number of items was 40,the score was 0,1 and 2.Project parameters included difficulty and discrimination.The sample size was 1000 and 100 was repeated under an experimental condition.In the practical research,using the Big Five Personality Questionnaire (FFI),1108 college and high school students were tested to investigate the effect of L on the reliability and validity of FFI.Results: Simulation studies showed that L was close to normal distribution in the Likert scale.L could detect all kinds of aberrant response.Correct rejection rate for all kinds of aberrant response was about 95% and the accuracy rate of random response and compromise response were 100%.Practical research showed that the reliability and construct validity were promoted when different proportions of aberrant individuals were removed.When 50% aberrant individuals were deleted,the reliability of A,C,E,N and O increased from 0.635,0.789,0.725,0.830,0.714 to 0.727,0.871,0.823,0.913,0.841;χ²/df decreased from 7.594,6.999,10.872,16.445,14.047 to 3.113,2.432,3.635,3.784,7.093.Conclusion: L can effectively detect the aberrant responses in Likert scales,and improve the reliability and validity of the test.

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作者简介：

参考文献：

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