# Multivariate Data Analysis Chapter 1 - Introduction

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```					Multivariate Data Analysis
Chapter 1 - Introduction

MIS 6093 Statistical Method
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
Chapter 1

   Guidelines for Multivariate Analysis
and Interpretation (Cont.)
   Strive for Model Parsimony
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…

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