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F-square in smartpls
F-square in smartpls






Less than 5% of missing or screening out data Cohen’s sample size recommendation = 205ģ0% of original sample (Hair Jr & Hult, 2016).10x structural paths directed a a latent construct (10 x 5 = 50).Cohen’s sample size recommendation (In this study, 5% significance level, 0.10 minimum R2, and maximum number of arrows pointing at a construct (5) = 205 Ten times rule: the minimum sample size should be equal to the larger of 10x largest number of 1) formative indicator and structural paths directed at a particular latent construct (Wong, 2013)Īlternatively, Cohen’s sample size recommendation of statistical power and effect sizes takes into accounts. It should be noted that we use the Smart PLS as the PLS-SEM analysis tool.

f-square in smartpls

Overall, our data and research model showed good compliances to the proposed PLS-SEM guidelines. Results of validation of PLS-SEM guideline and compliance are described in the following Table. Out model evaluation: formative (mode B).Outer model evaluation: reflective (mode A).By using our data, we validated these seven categories of PLS-SEM guidelines: Hair & Hult, 2016 Latan & Ramli, 2013 Richter, Sinkovics, Ringle, & Schlaegel, 2016). Prior to conducting the PLS-SEM, we summarized prerequisite or necessary conditions and recommendations through synthesizing a few foundational literature (Chin, 2010 J.F. Hair et al., 2011), we judged that our study was appropriate for applying the PLS-SEM technique because this study’s main goal was to explore new knowledge and to extend an existing structural theory of the complex UTAUT. Ĭonsidering the rules of thumb for selecting CB-SEM or PLS-SEM (J.F. Hair, Ringle, & Sarstedt, 2011 Williams et al., 2015). For this benefit of PLS-SEM, it gets popular in management disciplines such as marketing management, strategic management, human resources management, and particularly management information system field of studies (J.F. For example, PLS-SEM gives a more robust structural equation model convergence over CB-SEM in many situations especially when a research model has many indicators, paths, and relationships among key variables and constructs (Chin, 2010 J.F. This critical advantage makes the PLS-SEM as an alternative technique for SEM and it has become a key research method in recent years (J.F. PLS-SEM method gets a special attention from business and social science researchers for its robustness in psychometric model analysis. Partial Least Square St ructural Equation Modeling (PLS-SEM)

f-square in smartpls

#F square in smartpls software#

A study of Diffusion of Legal Software Use in a Global Campus: Action Research at a Global Campus in China.






F-square in smartpls