Please wait a minute...
   2011, Vol. 19 Issue (12) : 1859-1867     DOI:
研究方法 |
Item Parceling Strategies in Structural Equation Modeling
WU Yan;WEN Zhong-Lin
(1 Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou 510420, China)
(2 Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China)
Download: PDF(233 KB)  
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  Item parceling is a technique using in structural equation modeling (SEM). Parceling can improve the quality of indicators and model fit. Bias that due to parceling was often neglectable and can be corrected. Parceling greatly enhances model parsimony, but it greatly reduces falsifiability of the tested model. It could be summarized that the prerequisites of parceling are unidimension and homogeneity, and the applicability of parceling is the analysis of structural models, rather than measurement models. Parcel-building algorithms and the number of parcels were discussed and recommended. A procedure for item parceling was proposed when the scale was unidimensional. If the scale was multidimensional, internal-consistency approach was recommended such that the items of the same dimension are parceled to one or three indicators for structural equation modeling.
Keywords latent variable      structural equation model      item parceling     
Corresponding Authors: WEN Zhong-Lin   
Issue Date: 15 December 2011
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
WU Yan
WEN Zhong-Lin
Cite this article:   
WU Yan,WEN Zhong-Lin. Item Parceling Strategies in Structural Equation Modeling[J]. , 2011, 19(12): 1859-1867.
URL:  
http://journal.psych.ac.cn/xlkxjz/EN/     OR     http://journal.psych.ac.cn/xlkxjz/EN/Y2011/V19/I12/1859
[1] DENG Xiaoping; LUO Xiuwen; WU Yuzhen. The mediating effect of parental involvement between family socioeconomic status and academic performance: Meta-analysis structural equation modeling[J]. Advances in Psychological Science, 2016, 24(12): 1844-1853.
[2] MAI Yujao;WEN Zhonglin. Exploratory Structural Equation Modeling (ESEM): An Integration of EFA and CFA[J]. Advances in Psychological Science, 2013, 21(5): 934-939.
[3] WANG Xiao-Li;LI Xi-Ying;SHAO Jing-Jin. Formative Model: A New Perspective of Structural Equation Model[J]. , 2011, 19(2): 293-300.
[4] WEN Zhong-Lin;WU Yan. Evolution and Simplification of the Approaches to Estimating Structural Equation Models with Latent Interaction[J]. , 2010, 18(08): 1306-1313.
[5] Bian Ran;Che Hongsheng;Yang Hui. Item Parceling Strategies in Structural Equation Modeling[J]. , 2007, 15(03): 567-576.
[6] Bai Xinwen,Chen Yiwen. MEASUREMENT EQUIVALENCE: CONCEPTIOIN AND TEST CONDITIONS[J]. , 2004, 12(02): 231-239.
[7] Wen Zhonglin, Hau Kit-Tai, Herbert W. Marsh. Methods and Recent Research Development in Analysis of Interaction Effects between Latent Variables[J]. , 2003, 11(05): 593-599.
[8] Fang Ping, Xiong Duanqin, Cao Xuemei (Department of Psychology, Faculty of Education Science, Capital Normal University, Beijing 100037). THE DEVELOPMENT AND APPLICATION OF STRUCTURAL EQUATION MODELING[J]. , 2002, 10(03): 270-279.
[9] Luo Ting, Jiao Shulan. STAPLE EXPERIMENTAL AND STATISTICAL METHODS IN PROCESSING SPEED RESEARCH[J]. , 2002, 10(01): 21-28.
Viewed
Full text


Abstract

Cited

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