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Cho, Gyeongcheol [Verfasser:in]; Hwang, Heungsun [Verfasser:in]; Sarstedt, Marko [Verfasser:in]; Ringle, Christian M. [Verfasser:in] ; Technische Universität Hamburg, Technische Universität Hamburg Institute of Human Resource Management and Organizations

Cutoff Criteria for Overall Model Fit Indexes in Generalized Structured Component Analysis

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  • Medientyp: E-Artikel
  • Titel: Cutoff Criteria for Overall Model Fit Indexes in Generalized Structured Component Analysis
  • Beteiligte: Cho, Gyeongcheol [Verfasser:in]; Hwang, Heungsun [Verfasser:in]; Sarstedt, Marko [Verfasser:in]; Ringle, Christian M. [Verfasser:in]
  • Körperschaft: Technische Universität Hamburg ; Technische Universität Hamburg, Institute of Human Resource Management and Organizations
  • Erschienen: 2020
  • Erschienen in: Journal of marketing analytics ; 8(2020), 3 vom: Sept., Seite 189-202
  • Sprache: Englisch
  • DOI: 10.25673/81384; 10.15480/882.2916; 10.1057/s41270-020-00089-1
  • Identifikator:
  • Schlagwörter: Component-based structural equation modeling ; Generalized structured component analysis ; Model fit ; GFI ; SRMR
  • Entstehung:
  • Anmerkungen: Sonstige Körperschaften: Technische Universtät Hamburg, Institute of Human Resource Management and Organizations
  • Beschreibung: 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.
  • Zugangsstatus: Freier Zugang
  • Rechte-/Nutzungshinweise: Namensnennung (CC BY)