Structural equations modeling: Fit Indices, sample size, and advanced topics

被引：1530

作者：

Iacobucci, Dawn ^{[1
]}

机构：

[1] Vanderbilt Univ, Dept Mkt, Owen Grad Sch Management, Nashville, TN 37202 USA

来源：

JOURNAL OF CONSUMER PSYCHOLOGY | 2010年 / 20卷 / 01期

关键词：

Structural equations models; Factor analysis; Path models; Statistical methods; Fit indices; GOODNESS-OF-FIT; CONFIRMATORY FACTOR-ANALYSIS; COVARIANCE STRUCTURE MODELS; MAXIMUM-LIKELIHOOD; IMPROPER SOLUTIONS; NUMBER; ERROR; NONNORMALITY; SENSITIVITY; PERFORMANCE;

D O I：

10.1016/j.jcps.2009.09.003

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This article is the second of two parts intended to serve as a primer for structural equations models for the behavioral researcher. The first article introduced the basics: the measurement model, the structural model, and the combined, full structural equations model. In this second article, advanced issues are addressed, including fit indices and sample size, moderators, longitudinal data, mediation, and so forth. (C) 2009 Society for Consumer Psychology. Published by Elsevier Inc. All rights reserved.

引用

页码：90 / 98

页数：9

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