[1]邓远平,戴海琦,稂永明.基于主成分因素分析法的展开型数据单维性检验研究[J].江西师范大学学报(自然科学版),2021,(01):32-37+45.[doi:10.16357/j.cnki.issn1000-5862.2021.01.05]
　DENG Yuanping,DAI Haiqi,LANG Yongming.The Study on Test of Unfolding Data’s Unidimensionality Based on the Principal Factor Analysis[J].Journal of Jiangxi Normal University:Natural Science Edition,2021,(01):32-37+45.[doi:10.16357/j.cnki.issn1000-5862.2021.01.05]
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基于主成分因素分析法的展开型数据单维性检验研究()
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《江西师范大学学报》（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2021年01期
页码:
32-37+45
栏目:
出版日期:
2021-02-10

文章信息/Info

Title:
The Study on Test of Unfolding Data’s Unidimensionality Based on the Principal Factor Analysis
文章编号:
1000-5862(2021)01-0032-06
作者:
邓远平1; 戴海琦2; 稂永明3
1.集美大学师范学院,福建 厦门 361021; 2.江西师范大学心理学院,江西 南昌 330022; 3.井冈山大学网络信息中心,江西 吉安 343009
Author(s):
DENG Yuanping1; DAI Haiqi2; LANG Yongming3
1.Teachers College,Jimei University,Xiamen Fujian 361021,China; 2.College of Psychology,Jiangxi Normal University,Nanchang Jiangxi 330022,China; 3.Network Information Center,Jinggangshan University,Jian Jiangxi 343009,China
关键词:
主成分因素分析法;  展开反应机制;  广义等级展开模型;  单维性
Keywords:
principal factor analysis;  unfolding response mechanism;  generalized graded unfolding model;  unidimensionality
分类号:
B 841
DOI:
10.16357/j.cnki.issn1000-5862.2021.01.05
文献标志码:
A
摘要:
以拓广的等级展开模型(GGUM)模拟6种情形下的展开型数据,使用主成分因素分析法检验展开型数据的单维性.研究发现:在项目位置参数服从均匀分布且被试特质同质性较强的情形下,前2个因子的特征值比(E1/E2)小于3,其余情形的比值均大于3; 当被试样本特质同质性较弱时,特征值大于1的因子有3个,其余情形的因子有2个; 当测验项目位置参数服从两端分布时,项目2因素负荷图呈“括号”形; 当测验项目位置参数服从均匀分布时,项目2因素负荷图呈“马蹄”形.研究结果表明:能力反应数据单维性的检验标准并不适用于展开型数据,当从因子特征值比、项目负荷图判定展开型数据的单维性时,应考虑项目位置参数分布特点和被试样本特质的同质性程度.
Abstract:
The six different types of unfolding data are simulated based on the generalized graded unfolding model(GGUM)and the results of factor analysis(FA)based on using component analysis are investigated.The results show that ratio of the first eigenvalue to the second eigenvalue is less than 3 when items’ locative parameters distribute uniformly and the hemogeneity of sample is strong,the ratio is more than 3 in other cases.When the heterogeneity of sample is strong,the number of factors whose eigenvalues are more than 1 is 3,the number is 2 in other cases.When items’ locative parameters distribute in both ends,the shape of items’ loading in two factors is a parenthese.In another case,the shape is a horseshoe.The result shows that the current testing standards about unidimensionality of unfolding data by the factor analysis(FA)are not comprehensive,the results of FA,including eigenvalue ratio of the first two factors and item loding’s figure,shall be related with item’s locative parameter and the hemogeneity of subjects.

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备注/Memo

备注/Memo:
收稿日期:2019-11-05
基金项目:国家自然科学基金(31660278),福建省教育厅社科类项目(JAS180204)和李尚大基金(SD201917)资助项目.
作者简介:邓远平(1979-),男,江西兴国人,副教授,博士,主要从事心理与教育测量研究.E-mail:dyp304@126.com
更新日期/Last Update: 2021-04-10