Handbook of Latent Variable and Related Models
17 - Robust Procedures in Structural Equation Modeling*
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Cited by (53)
Smart users for smart technologies: Investigating the intention to adopt smart energy consumption behaviors
2020, Technological Forecasting and Social ChangeCitation Excerpt :Finally, some previous studies (Scott et al., 2019; Verbeke and Vackier, 2005) have already developed similar “relationships hypothesized by the TPB [which] are tested through regression analyses” (Verbeke and Vackier, 2005, page 73), but this study adopts a more reliable analysis, that is, using a structural equation model (SEM). Specifically, SEM allows, amongst others, higher accuracy of parameter estimations, and simultaneous estimation of structural and measurement models and of endogenous and exogenous variables (Kim and Bentler, 2006; Raykov and Marcoulides, 2006; Ullman and Bentler, 2003; Yuan and Bentler, 2007). By introducing users’ inertia as a predictor of the adoption of new products or services, the TPB model is expanded in this study.
Cross-cultural differences in personality, motivation and cognition in Asian vs. Western societies
2020, Personality and Individual DifferencesCitation Excerpt :Using the combined sample data (N = 708) and EQS (Version 6.3; Bentler, 2015; Ullman & Bentler, 2013), a heuristic structural equation model (SEM) was constructed to predict GPA and Happiness/Psychological Wellbeing from the demographic and self-report measures with two distinct latent factors (F1, Goal Orientation; F2, Academic Volitional Strategies). After trimming non-significant parameters and adding residual correlations, the model in Fig. 3 provided a satisfactory fit to the empirical data (robust chi-square, χ2 (61df) = 203.80, robust CFI = 0.95, robust RMSEA = 0.06, RMSR = 0.05 (cf. Byrne, 2006; Hu & Bentler, 1995; Kline, 2010; Yuan & Bentler, 2007; Yuan, Chan, Marcoulides & Bentler, 2016). As Fig. 3 shows, GPA was predicted by F1 (Goal Orientation) as well as four observed variables.
The effect of proximal personality traits on entrepreneurial intention among higher education students
2024, International Journal of Innovation Science
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This research was supported by NSF grant DMS04-37167, the James McKeen Cattell Fund, and grants DA01070 and DA00017 from the National Institute on Drug Abuse.