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In this course, you will learn:
- Determine the most common methods for performing multivariate analysis.
- Use SPSS to perform multivariate analysis.
- Multivariate approaches can be used to solve commercial difficulties.
Syllabus:
1. Basic Concepts and Simple and Multiple Regression Analysis:
- Basic concepts
- Dependency Methods
- Interdependence Methods
- Structural Methods
- Dispersion diagram
- Types of Dispersion Models
- Least squares method
- Correlation coefficient
- Variation Measurements in Reg. And Corr.
- Standard error of the estimate
- True slope equal to zero
- Establish a confidence interval
- Significant correlation between variables
- Multiple Regression Model.
2. Factor Analysis
- When is it appropriate to use a FA?
- Phases of Factor Analysis
- Rotation of Factors
- Calculation of factor scores
3. Discriminant Analysis
- Concept and Application
- Analysis
- Equation
- Phases of an AD
4. Cluster Analysis
- What is cluster analysis?
- Cluster Analysis and Market Study
- Stages of a Cluster Analysis
- Euclidean Distance
- Clustering Procedures
- Agglomerative grouping
- K-Means Clusters
- Hierarchical Grouping Vrs. Not Hierarchical
- Suggested method
5. Conjoint Analysis
- Concept and Application
- Analysis
- Equation
- Decompositional methodology
- Conjoint analysis in SPSS
- SPSS and the whole concept method
