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Donald Cooper Pamela Schindler

Donald Cooper Pamela Schindler. Chapter 19. Business Research Methods. Chapter 19. Multivariate Analysis: An Overview. Selecting a Multivariate Technique. Slide 19 - 1. Dependency dependent (criterion) variables and independent (predictor) variables are present Interdependency

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Donald Cooper Pamela Schindler

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  1. Donald Cooper Pamela Schindler Chapter 19 Business Research Methods

  2. Chapter 19 Multivariate Analysis: An Overview

  3. Selecting a Multivariate Technique Slide 19 - 1 • Dependency • dependent (criterion) variables and independent (predictor) variables are present • Interdependency • variables are interrelated without designating some dependent and others independent

  4. Dependency Techniques Slide 19 - 2 Multiple regression Discriminant analysis Multivariate analysis of variance (MANOVA) Linear structural relationships (LISREL) Conjoint analysis

  5. Uses for Multiple Regression Slide 19- 3 • 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 analysis

  6. Uses for Discriminant Analysis Slide 19 - 4 • Classify persons or objects into various groups • Analyze known groups to determine the relative influence of specific factors

  7. Use for MANOVA Slide 19 -5 • Assess relationship between two or more dependent variables and classificatory variables or factors samples • Examples . . . measure differences between • employees • customers • manufactured items • production parts

  8. Uses of LISREL Slide 19 - 6 • Explains causality among constructs not directly measured • Two parts • Measurement model • Structural Equation model

  9. Two Models of LISREL Slide 19 - 7 • Measurement • used to relate the observed, recorded, or measured variables to the latent variables (constructs) • Structural equation • shows the causal relationships among the latent variables

  10. Use for Conjoint Analysis Slide 19 - 8 • Market research • Product development

  11. Interdependency Techniques Slide 19 - 9 Factor analysis Cluster analysis Multidimensional Scaling (MDS)

  12. Interdependency Techniques Slide 19 - 10 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 statistics

  13. Interdependency Techniques Slide 19 - 11 Factor analysis Cluster analysis

  14. Steps in Cluster Analysis Slide 19 - 12 • 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 clusters

  15. Interdependency Techniques Slide 19 - 13 Factor analysis Cluster analysis Multidimensional Scaling (MDS)

  16. Multidimensional Scaling Slide 19 - 14 • Creates a special description of a respondent’s perception about a product, service, or other object of interest

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