Applied Multivariate Statistical Modeling


Lecture 1 - Introduction to multivariate statistical modeling


Lecture 2 - Introduction to multivariate statistical modeling (Continued...)


Lecture 3 - Univariate descriptive statistics


Lecture 4 - Sampling distribution


Lecture 5 - Estimation


Lecture 6 - Estimation (Continued...)


Lecture 7 - Hypothesis testing


Lecture 8 - Multivariate descriptive statistics


Lecture 9 - Multivariate descriptive statistics (Continued...)


Lecture 10 - Multivariate normal distribution


Lecture 11 - Multivariate normal distribution (Continued...)


Lecture 12 - Multivariate Inferential Statistics


Lecture 13 - Multivariate Inferential Statistics (Continued...)


Lecture 14 - ANOVA (Analysis of Varianace)


Lecture 15 - Analysis of Variance (Continued...)


Lecture 16 - Multivariate Analysis of Variance (MANOVA)


Lecture 17 - MANOVA (Continued...)


Lecture 18 - Tutorial - ANOVA


Lecture 19 - Tutorial ANOVA (Continued...)


Lecture 20 - MANOVA - Case Study


Lecture 21 - Multiple Regression – Introduction


Lecture 22 - MLR - Sampling distribution of regression coefficients


Lecture 23 - MLR - Model adequacy tests


Lecture 24 - MLR - Test of assumptions


Lecture 25 - MLR - Model diagnostics


Lecture 26 - MLR - Case Study


Lecture 27 - Multivariate Linear Regression


Lecture 28 - Multivariate Linear Regression - Estimation


Lecture 29 - Multivariate Linear Regression - Model Adequacy tests


Lecture 30 - Principal Component Analysis (PCA)


Lecture 31 - PCA - Model Adequacy & Interpretation


Lecture 32 - Regression Modeling using SPSS


Lecture 33 - Factor Analysis


Lecture 34 - Factor Analysis - Estimation & Model Adequacy testing


Lecture 35 - Factor Analysis - Model Adequacy, rotation, factor scores & case study


Lecture 36 - Cluster Analysis


Lecture 37 - Cluster Analysis (Continued...)


Lecture 38 - Introduction to Structural Equation Modeling (SEM)


Lecture 39 - SEM - Measurement Model


Lecture 40 - SEM - Structural Model


Lecture 41 - Correspondence Analysis


Lecture 42 - Correspondence Analysis (Continued...)