Cutoff criteria for overall model fit indexes in generalized structured component analysis

Cho, Gyeongcheol ; Hwang, Heungsun ; Sarstedt, Marko und Ringle, Christian M. (2020): Cutoff criteria for overall model fit indexes in generalized structured component analysis. In: Journal of Marketing Analytics, Bd. 8, Nr. 4: S. 189-202

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.

• Dokumententyp: Zeitschriftenartikel
• Publikationsform: Publisher's Version
• Keywords: Generalized structured component analysis (GSCA)
• Fakultät: Betriebswirtschaft > Institut für Marketing
• Themengebiete: 300 Sozialwissenschaften > 330 Wirtschaft
• ISSN: 2050-3318
• Sprache: Englisch