On Components, Latent Variables, PLS and Simple Methods: Reactions to Rigdon's Rethinking of PLS

被引：111
|
作者：
Bentler, Peter M. [1 ]
Huang, Wenjing [1 ]
机构：
[1] Univ Calif Los Angeles, Los Angeles, CA 90095 USA
来源：
LONG RANGE PLANNING | 2014年 / 47卷 / 03期
关键词：
MAXIMUM-LIKELIHOOD; STRUCTURAL EQUATIONS; MODELS; FOUNDATIONS; RELIABILITY; ALPHA; SEM;
D O I：
10.1016/j.lrp.2014.02.005
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
Rigdon (2012) suggests that partial least squares (PLS) can be improved by killing it, that is, by making it into a different methodology based on components. We provide some history on problems with component-type methods and develop some implications of Rigdon's suggestion. It seems more appropriate to maintain and improve PLS as far as possible, but also to freely utilize alternative models and methods when those are more relevant in certain data analytic situations. Huang's (2013) new consistent and efficient PLSe2 methodology is suggested as a candidate for an improved PLS. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码：138 / 145
页数：8
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