Parameter Influence in Structural Equation Modeling
- Authors
- Lee, Taehun; MacCallum, Robert C.
- Issue Date
- Jan-2015
- Publisher
- ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
- Keywords
- model fit; sensitivity analysis; parameter influence; structural equation modeling; parameter interpretation
- Citation
- STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, v.22, no.1, pp 102 - 114
- Pages
- 13
- Journal Title
- STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
- Volume
- 22
- Number
- 1
- Start Page
- 102
- End Page
- 114
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/26614
- DOI
- 10.1080/10705511.2014.935255
- ISSN
- 1070-5511
1532-8007
- Abstract
- In applications of structural equation modeling (SEM), investigators obtain and interpret parameter estimates that are computed so as to produce optimal model fit. The obtained parameter estimates are optimal in the sense that model fit would deteriorate to some degree if any of those estimates were changed. If a small change of a parameter estimate has large influence on model fit, such a parameter can be called highly influential, whereas if a substantial perturbation of a parameter estimate has negligible influence on model fit, that parameter can be called uninfluential. This is the idea of parameter influence. This article covers 2 approaches to quantifying parameter influence. One existing approach determines the direction vector of parameter perturbation causing maximum deterioration in model fit. In this article, we propose a new approach for quantifying the influence of individual parameters on model fit. In this new approach, the influence of individual parameters is quantified as the degree of perturbation required to produce a prespecified value of change in model fit. Using empirical examples, we illustrate how these 2 methods can be effectively employed, complementing each other and as a complement to conventional approaches to interpretation of parameter estimates obtained in empirical data analyses.
- Files in This Item
-
- Appears in
Collections - College of Social Sciences > Department of Psychology > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/26614)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.