Cho, GyeongcheolGyeongcheolChoHwang, HeungsunHeungsunHwangSarstedt, MarkoMarkoSarstedtRingle, Christian M.Christian M.Ringle2020-09-222020-09-222020-09-20Journal of Marketing Analytics 8: 189-202 (2020-09-20)http://hdl.handle.net/11420/7377Generalized 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.en2050-33262020189202Springer Naturehttps://creativecommons.org/licenses/by/4.0/Component-based structural equation modelingGeneralized structured component analysisModel fitGFISRMRManagementJournal Article10.15480/882.291610.1057/s41270-020-00089-110.15480/882.2916Journal Article