FINDOUT: Using Either SPSS Commands or Graphical User Interface to Identify Influential Cases in Structural Equation Modeling in AMOS.

IF 5.3 3区 心理学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Multivariate Behavioral Research Pub Date : 2023-09-01 Epub Date: 2023-01-05 DOI:10.1080/00273171.2022.2148089
Shu Fai Cheung, Ivan Jacob Agaloos Pesigan
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引用次数: 0

Abstract

The results in a structural equation modeling (SEM) analysis can be influenced by just a few observations, called influential cases. Tools have been developed for users of R to identify them. However, similar tools are not available for AMOS, which is also a popular SEM software package. We introduce the FINDOUT toolset, a group of SPSS extension commands, and an AMOS plugin, to identify influential cases and examine how these cases influence the results. The SPSS commands can be used either as syntax commands or as custom dialogs from pull-down menus, and the AMOS plugin can be run from AMOS pull-down menu. We believe these tools can help researchers to examine the robustness of their findings to influential cases.

FINDOUT:使用SPSS命令或图形用户界面来识别AMOS中结构方程建模的影响案例。
结构方程建模(SEM)分析的结果可能只受到少数观察结果的影响,这些观察结果被称为有影响的情况。已经为R的用户开发了识别他们的工具。然而,AMOS并没有类似的工具,它也是一个流行的SEM软件包。我们介绍了FINDOUT工具集、一组SPSS扩展命令和一个AMOS插件,以识别有影响的案例并检查这些案例如何影响结果。SPSS命令既可以用作语法命令,也可以用作下拉菜单中的自定义对话框,AMOS插件可以从AMOS下拉菜单中运行。我们相信这些工具可以帮助研究人员检验他们的发现对有影响力的案例的稳健性。
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
Multivariate Behavioral Research
Multivariate Behavioral Research 数学-数学跨学科应用
CiteScore
7.60
自引率
2.60%
发文量
49
审稿时长
>12 weeks
期刊介绍: Multivariate Behavioral Research (MBR) publishes a variety of substantive, methodological, and theoretical articles in all areas of the social and behavioral sciences. Most MBR articles fall into one of two categories. Substantive articles report on applications of sophisticated multivariate research methods to study topics of substantive interest in personality, health, intelligence, industrial/organizational, and other behavioral science areas. Methodological articles present and/or evaluate new developments in multivariate methods, or address methodological issues in current research. We also encourage submission of integrative articles related to pedagogy involving multivariate research methods, and to historical treatments of interest and relevance to multivariate research methods.
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