Wednesday, March 22, 2017

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Usually the data processing is a multiple linear regression analysis, analysis ofvariance (ANOVA), experimental design (design of experiment), the analysis of simultaneous equation models, structural equation modeling (SEM), linear programming models or other quantitative models. In general, research with quantitative methods include a series of tests and data analysis include: testing the research instrument or questionnaire (test reliabilityand test validity), test the basic assumptions(normality test, homogeneity, linearity), test the assumptions of classical deviations(multicollinearity, Heteroskedasticity, Autocorrelation), Linear Regression, Path Analysis, Structural Equation Modeling(SEM).

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