结构方程建模
可识别性
拟合优度
计量经济学
心理学
计算机科学
集合(抽象数据类型)
数据集
数学
数据挖掘
统计
管理科学
工程类
程序设计语言
作者
Roderick P. McDonald,Moon‐Ho Ringo Ho
标识
DOI:10.1037/1082-989x.7.1.64
摘要
Principles for reporting analyses using structural equation modeling are reviewed, with the goal of supplying readers with complete and accurate information. It is recommended that every report give a detailed justification of the model used, along with plausible alternatives and an account of identifiability. Nonnormality and missing data problems should also be addressed. A complete set of parameters and their standard errors is desirable, and it will often be convenient to supply the correlation matrix and discrepancies, as well as goodness-of-fit indices, so that readers can exercise independent critical judgment. A survey of fairly representative studies compares recent practice with the principles of reporting recommended here.
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