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Influence of Teacher Support and Personal Relevance on Academic Self-Efficacy and Enjoyment of Mathematics Lessons: A Structural Equation Modeling Approach
academic self-efficacy learning environment
2015/7/6
The purpose of our study was to examine the effects of two psychosocial features of the classroom environment (teacher support and personal relevance) on college students’ academic self-efficacy and e...
AN INVERSE ANALYSIS OF UNOBSERVED TRIGGER FACTORS OF THE SLOPE FAILURES BASED ON STRUCTURAL EQUATION MODELING
TRIGGER FACTORS SLOPE FAILURES STRUCTURAL EQUATION MODELING
2015/3/13
AN INVERSE ANALYSIS OF UNOBSERVED TRIGGER FACTORS OF THE SLOPE FAILURES BASED ON STRUCTURAL EQUATION MODELING.
The paths from walk preference to walk behavior: Applying latent factors in structural equation modeling
walking land use attitudes behavior
2013/11/21
A structural regression model has been developed to explore the relationship among key factors in the explanation of utilitarian walking. The model examines the relationship between and among unobserv...
Structural Equation Modeling (SEM) vs. Configural Frequency Analysis (CFA): An empirical approach
Structural Equation Modeling (SEM) Prediction Configural Frequency Analysis (P-CFA SEM model tetrachoric correlations asymptotic covariance matrix
2010/1/4
Structural Equation Modeling (SEM) denotes a group of statistical methods which are predominantly applied to metric scaled and normal distributed data. Recently SEM has often been applied to categoric...
Uses and Gratifications Theory and E-Consumer Behaviors:A Structural Equation Modeling Study
Uses and Gratifications Theory E-Consumer Behaviors A Structural Equation Modeling Study
2009/12/2
Drawing from uses and gratifications theory, this study explores influences of informativeness, entertainment, and irritation on various online consumer behaviors such as attitude toward the Web, Web ...
Predictors of Youth Diabetes Care Behaviors and Metabolic Control: A Structural Equation Modeling Approach
diabetes self-care metabolic control
2008/4/8
Objective To empirically test a biopsychosocial model of predictors of youth diabetes care behaviors and metabolic control. Methods A cross-sectional multisite study of youths (N = 222) with T1D (mean...