Multivariate Data Analysis Chapter 1 - Introduction - PowerPoint PPT Presentation

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Multivariate Data Analysis Chapter 1 - Introduction

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Multivariate Data Analysis Chapter 1 - Introduction MIS 6093 Statistical Method Instructor: Dr. Ahmad Syamil Chapter 1 What is Multivariate Analysis? – PowerPoint PPT presentation

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Title: Multivariate Data Analysis Chapter 1 - Introduction


1
Multivariate Data AnalysisChapter 1 -
Introduction
  • MIS 6093 Statistical Method
  • Instructor Dr. Ahmad Syamil

2
Chapter 1
  • What is Multivariate Analysis?
  • Impact of the Computer Revolution
  • Multivariate Analysis Defined

3
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

4
Chapter 1Types of Multivariate Techniques
  • Principal Components and Common Factor Analysis
  • Multiple Regression
  • Multiple Discriminant Analysis
  • Multivariate Analysis of Variance
  • Conjoint Analysis
  • Canonical Correlation

5
Chapter 1Types of Multivariate Techniques
  • Cluster Analysis
  • Multidimensional Scaling
  • Correspondence Analysis
  • Linear Probability Models
  • Structural Equation Modeling
  • Other Emerging Multivariate Techniques

6
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

7
Chapter 1
  • Guidelines for Multivariate Analysis and
    Interpretation (Cont.)
  • Strive for Model Parsimony
  • Look at Your Errors
  • Validate Your Results

8
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

9
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

10
Chapter 1
  • Databases
  • Primary Database
  • Perceptions of HATCO
  • Purchase Outcomes
  • Purchaser Characteristics
  • Other Databases

11
Chapter 1 end
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