Topics

• Basic understanding of data
• Sampling and Questionnaire designing
• Hypothesis testing
• ANOVA, ANCOVA, MANOVA, MANCOVA
• Parametric and Non-Parametric Tests
• Factor and Cluster Analysis
• Discriminant Analysis
• Multidimensional Scaling and Conjoint Analysis
• Structural Equation Modeling
• Regression Analysis (Linear)
• Bivariate and Multivariate Regression Analysis
• Assumptions of Regression Analysis
• Multicollinearity, Heteroscedasticity and Autocorrelation in Regression Analysis
• Model Specification and Diagnostic Testing
• Dummy Variable Regression Models
• Logit, Probit and Tobit Model