Please wait a minute...
Advances in Psychological Science    2018, Vol. 26 Issue (2) : 358-367     DOI: 10.3724/SP.J.1042.2018.00358
Research Methods |
 Full-information item bifactor analysis: Model, parameter estimation and application
 MAO Xiuzhen1; XIA Menglian2; XIN Tao3
 (1 School of Educational Science, Sichuan Normal University; 2 School of Teacher Education and Psychology, Sichuan Normal University, Chengdu 610068, China) (3 Collaborative Innovation center, Beijing Normal University, Beijing 100875, China)
Download: PDF(416 KB)  
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks     Supporting Info
Guide   
Abstract   Full-information item bifactor analysis is an important statistical method in psychological and educational measurement, which can be seen as a rediscovery of the classical bifactor model and has seen wide applications in the past two decades. The item response model of full-information item bifactor analysis is described upon the introduction of the conception and characterization of full-information item bifactor analysis. Further, we introduced the dimension reduction method used in parameter estimation. Then, examples are provided for applications of the full-information item bifactor model in test measurement structure exploration or confirmation, score interpretation, and computerized adaptive testing. The measurement structure of full-information item bifactor analysis is accordance with most tests in the areas of psychology, education, and medical science. With the advantage in dimension reduction, it is believed that the full-information item bifactor analysis could be valuable and useful in various situations. At last, some future research directions and suggestions are put forward including parameter estimation, test linking, differential item functioning, model fit testing, and application of bifactor item response theory to computerized adaptive testing.
Keywords  bifactor model      full-information item bifactor analysis      bifactor item reponse theory model      dimension reduction     
ZTFLH:     
  B841  
Fund: 
Corresponding Authors: XIN Tao, E-mail: xintao@bnu.edu.cn   
Issue Date: 26 December 2017
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
MAO Xiuzhen
XIA Menglian
XIN Tao
Cite this article:   
MAO Xiuzhen,XIA Menglian,XIN Tao.  Full-information item bifactor analysis: Model, parameter estimation and application[J]. Advances in Psychological Science, 2018, 26(2): 358-367.
URL:  
http://journal.psych.ac.cn/xlkxjz/EN/10.3724/SP.J.1042.2018.00358     OR     http://journal.psych.ac.cn/xlkxjz/EN/Y2018/V26/I2/358
[1] YANG Jianfeng, DANG Min, ZHANG Rui, WANG Xiaojuan.  The neural circuit of semantic processing and its dynamic cooperation with the neural circuit of phonological processing in reading Chinese characters[J]. Advances in Psychological Science, 2018, 26(3): 381-390.
[2] SU Yi (ESTHER).  Acquisition of core Chinese grammar in preschool children with autism spectrum disorders[J]. Advances in Psychological Science, 2018, 26(3): 391-399.
[3] XU Sheng.  The differentiation of employee followership from the perspective of regulatory focus: Influence mechanism of causes and effects[J]. Advances in Psychological Science, 2018, 26(3): 400-410.
[4] TENG Jing, SHEN Wangbing, HAO Ning.  The role of cognitive control in divergent thinking[J]. Advances in Psychological Science, 2018, 26(3): 411-422.
[5] DING Xiaobin, KANG Tiejun, ZHAO Xin, FUN Junjun.  A comparison for machine processing of emotional body language and facial expression[J]. Advances in Psychological Science, 2018, 26(3): 423-432.
[6] QIAN Haoyue, HUANG Yihui, GAO Xiangping.  Gamma oscillations and information binding process[J]. Advances in Psychological Science, 2018, 26(3): 433-441.
[7] YUE Tong, HUANG Xiting, LIU Guangyuan.  The effects of oxytocin on empathic response and its mechanisms[J]. Advances in Psychological Science, 2018, 26(3): 442-453.
[8] LI Zuan, CHEN Weihai.  Effects of maternal behavior on offspring’s psychology and behavior: Based on animal studies[J]. Advances in Psychological Science, 2018, 26(3): 454-466.
[9] BAI Xujia, CHEN Xu .  Memory biases of attachment styles: Based on the interpretation of two processing modes[J]. Advances in Psychological Science, 2018, 26(3): 467-475.
[10] JING Wei, LIU Ziqin.  The diminished attention to eye in the face processing of individuals with autism spectrum disorder[J]. Advances in Psychological Science, 2018, 26(3): 476-487.
[11] ZHANG Xinyue, YU Lin.  The early stages of Alzheimer’s disease: Subjective cognitive impairment?[J]. Advances in Psychological Science, 2018, 26(3): 488-495.
[12] WU Cai-Zhi, CHEN Yan, SUN Qi-Wu, YU Li-Xia, JIANG Guang-Rong.  Psychological autopsy and its application in suicide research[J]. Advances in Psychological Science, 2018, 26(3): 503-517.
[13] LIN Yiqi, WANG Xi, PENG Kaiping, NI Shiguang.  Virtual reality technology in the psychological treatment for autism spectrum disorders: An systematic review[J]. Advances in Psychological Science, 2018, 26(3): 518-526.
[14] CHAI Huan You, NIU Geng Feng, CHU Xiao Wei, WEI Qi, SONG Yu Hong, SUN Xiao Jun.  Fear of missing out: What have I missed again?[J]. Advances in Psychological Science, 2018, 26(3): 527-537.
[15] XU Huachun, CUI Biying, ZHANG Wenting.  Does parenthood increase well-being?[J]. Advances in Psychological Science, 2018, 26(3): 538-548.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
Copyright © Advances in Psychological Science
Support by Beijing Magtech