Evaluation of Structural Equation Model Forests Performance to Identify Omitted Influential Covariates

IF 2.5 2区心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-11-07 DOI:10.1080/10705511.2024.2417866

John Alexander Silva Díaz, Moritz Heene, Andreas M. Brandmaier

引用次数: 0

Abstract

Model misspecification is typical in applied structural equation modeling (SEM). Traditional specification search methods, such as modification indices, search for misspecifications within the mode...

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评估结构方程模型森林识别被忽略的影响变量的性能

在应用结构方程建模（SEM）中，模型失范是一种典型现象。传统的规范搜索方法，如修正指数，会在模式内搜索错误规范...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Structural Equation Modeling: A Multidisciplinary Journal 数学-数学跨学科应用

CiteScore

8.70

自引率

11.70%

发文量

审稿时长

>12 weeks

期刊介绍： Structural Equation Modeling: A Multidisciplinary Journal publishes refereed scholarly work from all academic disciplines interested in structural equation modeling. These disciplines include, but are not limited to, psychology, medicine, sociology, education, political science, economics, management, and business/marketing. Theoretical articles address new developments; applied articles deal with innovative structural equation modeling applications; the Teacher’s Corner provides instructional modules on aspects of structural equation modeling; book and software reviews examine new modeling information and techniques; and advertising alerts readers to new products. Comments on technical or substantive issues addressed in articles or reviews published in the journal are encouraged; comments are reviewed, and authors of the original works are invited to respond.