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Title: Cutoff Criteria for Overall Model Fit Indexes in Generalized Structured Component Analysis
Author(s): Cho, Gyeongcheol
Hwang, HeungsunLook up in the Integrated Authority File of the German National Library
Sarstedt, MarkoLook up in the Integrated Authority File of the German National Library
Ringle, Christian M.Look up in the Integrated Authority File of the German National Library
Issue Date: 2020
Type: Article
Language: English
URN: urn:nbn:de:gbv:830-882.0106459
Subjects: Component-based structural equation modeling
Generalized structured component analysis
Model fit
Abstract: Generalized structured component analysis (GSCA) is a technically well-established approach to component-based structural equation modeling that allows for specifying and examining the relationships between observed variables and components thereof. GSCA provides overall fit indexes for model evaluation, including the goodness-of-fit index (GFI) and the standardized root mean square residual (SRMR). While these indexes have a solid standing in factor-based structural equation modeling, nothing is known about their performance in GSCA. Addressing this limitation, we present a simulation study’s results, which confirm that both GFI and SRMR indexes distinguish effectively between correct and misspecified models. Based on our findings, we propose rules-of-thumb cutoff criteria for each index in different sample sizes, which researchers could use to assess model fit in practice.
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Sponsor/Funder: Projekt DEAL 2020
Journal Title: Journal of marketing analytics
Publisher: Palgrave Macmillan
Publisher Place: Houndmills
Volume: 8
Issue: 3
Original Publication: 10.15480/882.2916
Page Start: 189
Page End: 202
Appears in Collections:Fakultät für Wirtschaftswissenschaft (OA)

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