Your SlideShare is downloading. ×
0
19-1
Part Four                        ANALYSIS AND                    PRESENTATION OF DATA 19-2McGraw-Hill/Irwin             © ...
Chapter Nineteen       MULTIVARIATE ANALYSIS:             An Overview19-3
Selecting a Multivariate Technique       • Dependency         – dependent (criterion) variables and           independent ...
Dependency Techniques       •   Multiple regression       •   Discriminant analysis       •   Multivariate analysis of var...
Uses for Multiple Regression       • Predict values for a criterion variable by         developing a self-weighting estima...
Uses for Discriminant Analysis       • Classify persons or objects into various         groups       • Analyze known group...
Use for MANOVA       • Assess relationship between two or         more dependent variables and         classificatory vari...
Uses of LISREL       • Explains causality among constructs not         directly measured       • Two parts         – Measu...
Two Models of LISREL        • Measurement          – used to relate the observed, recorded, or            measured variabl...
Use for Conjoint Analysis        • Market research        • Product development19-11
Interdependency Techniques        • Factor analysis        • Cluster analysis        • Multidimensional Scaling (MDS)19-12
Interdependency Techniques        Factor Analysis        • Computational techniques that reduce          variables to a ma...
Interdependency Techniques        • Factor analysis        • Cluster analysis19-14
Steps in Cluster Analysis        • Select sample to be clustered        • Define measurement variables        • Compute si...
Interdependency Techniques        • Factor analysis        • Cluster analysis        • Multidimensional Scaling (MDS)19-16
Multidimensional Scaling        • Creates a special description of a          participant’s perception about a          pr...
Upcoming SlideShare
Loading in...5
×

Business Research Methods Chap019

1,704

Published on

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
1,704
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
44
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Transcript of "Business Research Methods Chap019"

  1. 1. 19-1
  2. 2. Part Four ANALYSIS AND PRESENTATION OF DATA 19-2McGraw-Hill/Irwin © 2003 The McGraw-Hill Companies, Inc.,All Rights Reserved.
  3. 3. Chapter Nineteen MULTIVARIATE ANALYSIS: An Overview19-3
  4. 4. Selecting a Multivariate Technique • Dependency – dependent (criterion) variables and independent (predictor) variables are present • Interdependency – variables are interrelated without designating some dependent and others independent19-4
  5. 5. Dependency Techniques • Multiple regression • Discriminant analysis • Multivariate analysis of variance • (MANOVA) • Linear structural relationships (LISREL) • Conjoint analysis – Simalto+Plus19-5
  6. 6. Uses for Multiple Regression • Predict values for a criterion variable by developing a self-weighting estimating equation • Control for confounding variables to better evaluate the contribution of other variables • Test and explain causal theories – Path analysis19-6
  7. 7. Uses for Discriminant Analysis • Classify persons or objects into various groups • Analyze known groups to determine the relative influence of specific factors19-7
  8. 8. Use for MANOVA • Assess relationship between two or more dependent variables and classificatory variables or factors samples • E.g. . . . measure differences between – employees – customers – manufactured items – production parts19-8
  9. 9. Uses of LISREL • Explains causality among constructs not directly measured • Two parts – Measurement model – Structural Equation model19-9
  10. 10. Two Models of LISREL • Measurement – used to relate the observed, recorded, or measured variables to the latent variables (constructs) • Structural equation – shows the causal relationships among the latent variables19-10
  11. 11. Use for Conjoint Analysis • Market research • Product development19-11
  12. 12. Interdependency Techniques • Factor analysis • Cluster analysis • Multidimensional Scaling (MDS)19-12
  13. 13. Interdependency Techniques Factor Analysis • Computational techniques that reduce variables to a manageable number – construction of new set of variables based on relationships in the correlation matrix • Principal components analysis • Communalities • Rotation • Measurement statistics19-13
  14. 14. Interdependency Techniques • Factor analysis • Cluster analysis19-14
  15. 15. Steps in Cluster Analysis • Select sample to be clustered • Define measurement variables • Compute similarities among the entities through correlation, Euclidean distances, and other techniques • Select mutually exclusive clusters • Compare and validate the clusters19-15
  16. 16. Interdependency Techniques • Factor analysis • Cluster analysis • Multidimensional Scaling (MDS)19-16
  17. 17. Multidimensional Scaling • Creates a special description of a participant’s perception about a product, service, or other object of interest19-17
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×