Multivariate Data Analysis Chapter 1 - Introduction

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Multivariate Data Analysis Chapter 1 - Introduction Powered By Docstoc
					Multivariate Data Analysis
Chapter 1 - Introduction

      MIS 6093 Statistical Method
      Instructor: Dr. Ahmad Syamil
Chapter 1

   What is Multivariate Analysis?

   Impact of the Computer Revolution

   Multivariate Analysis Defined
Chapter 1
   Some Basic Concepts of Multivariate
    Analysis
       The Variate
       Measurement Scale
           Nonmetric Measurement Scales
           Metric Measurement Scales
       Measurement Error and Multivariate
        Measurement
       Statistical Significance Versus Statistical
        Power
Chapter 1
Types of Multivariate Techniques

   Principal Components and Common
    Factor Analysis
   Multiple Regression
   Multiple Discriminant Analysis
   Multivariate Analysis of Variance
   Conjoint Analysis
   Canonical Correlation
Chapter 1
Types of Multivariate Techniques

   Cluster Analysis
   Multidimensional Scaling
   Correspondence Analysis
   Linear Probability Models
   Structural Equation Modeling
   Other Emerging Multivariate
    Techniques
Chapter 1

   A classification of Multivariate
    Techniques
   Guidelines for Multivariate Analysis
    and Interpretation
       Establish Practical Significance as well
        as Statistical Significance
       Sample Size Affects All Results
       Know Your Data
Chapter 1

   Guidelines for Multivariate Analysis
    and Interpretation (Cont.)
       Strive for Model Parsimony
       Look at Your Errors
       Validate Your Results
Chapter 1

   A structured Approach to Multivariate
    Model Building
       Stage 1: Define the Research Problem,
                 Objectives, and Multivariate
                 Techniques to Be Used
       Stage 2: Develop the Analysis Plan
       Stage 3: Evaluate the Assumptions
                 Underlying the Multivariate
                 Technique
Chapter 1

    Stage 4: Estimate the Multivariate Model
              and Assess Overall Model Fit
    Stage 5: Interpret the Variate(s)
    Stage 6: Validate the Multivariate Model
Chapter 1

   Databases
       Primary Database
           Perceptions of HATCO
           Purchase Outcomes
           Purchaser Characteristics
       Other Databases
Chapter 1 end…