Errors of inference in structural equation modeling

被引:53
作者
McCoach, D. Betsy [1 ]
Black, Anne C. [1 ]
O'Connell, Ann A. [1 ]
机构
[1] Univ Connecticut, Neag Sch Educ, Storrs, CT 06269 USA
关键词
D O I
10.1002/pits.20238
中图分类号
G44 [教育心理学];
学科分类号
0402 ; 040202 ;
摘要
Although structural equation modeling (SEM) is one of the most comprehensive and flexible approaches to data analysis currently available, it is nonetheless prone to researcher misuse and misconceptions. This article offers a brief overview of the unique capabilities of SEM and discusses common sources of user error in drawing conclusions from these analyses. We make recommendations to guide proper analytical practices and appropriate inferences and provide references for more advanced study. (c) 2007 Wiley Periodicals, Inc.
引用
收藏
页码:461 / 470
页数:10
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