Course Overview

A practical and rigorous course that equips participants to perform comprehensive quantitative analysis. Covers data preparation, regression, time-series, SEM, path modeling, hypothesis testing, and economic forecasting using SPSS, AMOS, SmartPLS, and EViews.

Learning Outcomes

• Prepare and clean quantitative data in SPSS for accurate analysis
• Conduct descriptive statistics, hypothesis testing and correlation in SPSS
• Build and evaluate regression models (linear, logistic, multiple)
• Confirmatory factor analysis (CFA) and SEM path modeling
• Assess measurement and structural models and interpret goodness-of-fit indices
• Employ PLS-SEM techniques using SmartPLS for exploratory modeling, mediation, and moderation analysis
• Handle advanced modeling in SmartPLS: higher-order constructs, multi-group analysis, predictive evaluation (PLSpredict)
• Measurement Invariance of Composite Models (MICOM), Importance-Performance Matrix Analysis (IPMA), and Necessary Condition Analysis (NCA)
• Fuzzy-set Qualitative Comparative Analysis (FSQCA) for complex data modeling and hypothesis testing.