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Fungible Parameter Estimates in Structural Equation Modeling

Authors
Lee, TaehunMacCallum, Robert C.Browne, Michael W.
Issue Date
Mar-2018
Publisher
AMER PSYCHOLOGICAL ASSOC
Keywords
fungible estimates; parameter interpretation; sensitivity analysis; model fit; structural equation modeling
Citation
PSYCHOLOGICAL METHODS, v.23, no.1, pp 58 - 75
Pages
18
Journal Title
PSYCHOLOGICAL METHODS
Volume
23
Number
1
Start Page
58
End Page
75
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/1126
DOI
10.1037/met0000130
ISSN
1082-989X
1939-1463
Abstract
Extending work by Waller (2008) on fungible regression coefficients, we propose a method for computation of fungible parameter estimates in structural equation modeling. Such estimates are defined as distinct alternative solutions for parameter estimates, where all fungible solutions yield identical model fit that is only slightly worse than the fit provided by optimal estimates. When such alternative estimates are found to be highly discrepant from optimal estimates, then substantive interpretation based on optimal estimates is called into question. We present a computational method and 3 illustrations showing the potential impact of this approach in applied research, and we discuss implications and issues for further research.
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