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The poster below summarizes updated robust #covariance-based #structural #equation #modeling #CBSEM workflow of current available #rstats #packages and #shinyapps

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Building Lovemarks with social media marketing: A methodological comparison This study provides a methodological exploration of the ‘Lovemarks’ framework in social media marketing by replicating and extending the work of (Feta…

Here we go again, debate between #CBSEM #rstats #lavaan and #PLSSEM www.sciencedirect.com/science/arti...

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I wonder whether #SEM practitioners fully adopted Anderson and Gerbing (1998) two-step approach for SEM. I use #gemini, prompt it to be expert in #CBSEM, explain the article. Are we missing some of the #SCDTs steps in papers? M null < M constrained < M theoretical < M unconstrained < M saturated.

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So many ways for assessing outliers: What really works and does it matter? Recent research in leading business journals has varied widely in how statistical outliers are identified and handled; many techniques were reported. …

Survey data is always laden with #outliers. Sullivan et al. (2021) sum all available influential outlier data treatments prior to model estimation. In #CBSEM, the usual technique is to adopt Satorra-Bentler correction and/or robust estimation. Here’s the article
www.sciencedirect.com/science/arti...

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An Introduction to Generalized Structured Component Analysis Structural Equation Modelling
An Introduction to Generalized Structured Component Analysis Structural Equation Modelling YouTube video by ISDSA Academy

Hwang and Takane introduced #Generalized #Structured #Component #Analysis #GSCA as a novel alternative to #CBSEM here the links to its resources
1) m.youtube.com/watch?v=wzlu...
2) www.gscapro.com
3) www.routledge.com/Generalized-...

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