Sentence examples for multiple structural equation from inspiring English sources

Multiple structural equation models (SEM) examined the proposed relationships among the developmental assets, life satisfaction, and HRQOL.

I frequently fit models that MLwiN cannot estimate (e.g., MLM multiple group structural equation models) and I rarely fit models with more than two levels (which Mplus currently cannot estimate).

Comparison of the mean scores under the multiple-sample structural equation modelling with mean structure [ 32] showed that the participants without chronic illness had significantly higher QOL in the physical, psychological, and social relationship dimensions, but not in the environmental dimension; t (1052) = 4.156, 2.232, 2.347, -0.684, respectively; all p < 0.05 except for the last comparison.

Meanwhile, whether the relationships among the built environment, VMT and energy consumption vary between commuting and non-commuting trip was examined by applying the multiple-group structural equation model (SEM).

Wang (2013) introduced a multiple-group structural equation modeling analyses to explore the relationships among high school exposure to STEM courses, math preparation, math self-efficacy beliefs, interest in pursuing STEM upon entry into postsecondary education, and entrance into STEM fields of study.

Longitudinal latent profile analysis (LPA), a submodel of SEM, is a multiple-group structural equation model in which the group variable is unobserved.

Then, we assessed the simultaneity of all the hypothesized associations among the multiple constructs via structural equation modeling.

Water quality modeling using hydrochemical data, multiple linear regression, structural equation, predictability, trend and time-series analysis provides major tools for application in water quality management (Attah and Bankole 2012; Chenini and Khemiri 2009; Fang et al. 2010; Singh et al. 2004; Su et al. 2011; Prasad et al. 2013; Seth et al. 2013).

Analyses of our research questions were done by correlation analyses, multiple regressions and structural equation models.

We carried out multiple regression and structural equation model (SEM) analyses to determine the confounder-adjusted effect of mercury exposure.

Different approaches have been proposed to study the relationship between multiple phenotypes, including structural equation modeling [ 24] and mutual information [ 25].