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A development of causal relationship model of the Google sites usage for learning at Rangsit University
Published 2016“…The proposed model consisted of six latent variables as follows: ‘Performance’, ‘Effort’, ‘Self’, ‘Communication Function’, ‘Intention’, and ‘Google Sites Usage’.The survey sample consisted of 450 students from Rangsit University.Structural Equation Modeling (SEM) was used to analyze the causal relationship model.Moreover, statistical analysis was conducted to create a dataset using the packed statistic program.The results indicated that the adjusted model was consistent with the empirical data.Goodness-of-Fit indicators included a Chisquare value of 545.99 with 232 degrees of freedom; CMIN/DF = 2.35; SRMR = 0.04; GFI = 0.90; AGFI = 0.90; CFI = 0.96, and RMSEA = 0.06.In summary, Google Sites Usage were positively correlated and influenced to the intention to use Google Sites for learning at Rangsit University.…”
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Swelling and deswelling kinetics of polyvinyl alcohol and lactic acid hydrogel films
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Swelling behavior of polyvinyl alcohol and lactic acid hydrogel films
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Quantitative analysis of γ–oryzanol content in cold pressed rice bran oil by TLC–image analysis method
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Trueness comparison of digital model obtaining methods for single restoration
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Fabrication of Fish Scale-Based Gelatin Methacryloyl for 3D Bioprinting Application
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