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Multivariate data analysis / Joseph Hair ... [et al.].

Contributor(s): Material type: TextTextPublication details: Englewood Cliffs, N.J. ; London : Prentice Hall, 1998.Edition: 5th edDescription: xx,730,12p. : ill. ; 26cmISBN:
  • 9780139305870 (International ed) :
  • 9780139305870
Subject(s): DDC classification:
  • 519.53 HAI
Contents:
Introduction -- sect. 1. Preparing for a multivariate analysis. Examining your data -- Factor analysis -- sect. 2. Dependence techniques. Multiple regression analysis -- Advanced diagnostics for multiple regression analysis -- Multiple discriminant analysis and logistic regression -- Multivariate analysis of variance -- Conjoint analysis -- Canonical correlation analysis -- sect. 3. Interdependence techniques. Cluster analysis -- Multidimensional scaling -- sect. 4. Advanced and emerging techniques. Structural equation modeling -- A mathematical representation in LISREL notation -- Overall goodness-of-fit measures for structural equation modeling -- Emerging techniques in multivariate analysis -- Appendix A: Applications of multivariate data analysis.
Summary: For graduate courses in Marketing Research, Research Design and Data Analysis. For the non-statistician, this applications-oriented introduction to multivariate analysis reduces the amount of statistical notation and terminology used while focusing on the fundamental concepts that affect the use of specific techniques.
Holdings
Item type Current library Call number Copy number Status Date due Barcode
Long Loan TUS: Midlands, Main Library Athlone General Lending 519.53 HAI (Browse shelf(Opens below)) 1 Available 00210890

Previous ed.: 1995.

Includes index.

Includes index.

Introduction -- sect. 1. Preparing for a multivariate analysis. Examining your data -- Factor analysis -- sect. 2. Dependence techniques. Multiple regression analysis -- Advanced diagnostics for multiple regression analysis -- Multiple discriminant analysis and logistic regression -- Multivariate analysis of variance -- Conjoint analysis -- Canonical correlation analysis -- sect. 3. Interdependence techniques. Cluster analysis -- Multidimensional scaling -- sect. 4. Advanced and emerging techniques. Structural equation modeling -- A mathematical representation in LISREL notation -- Overall goodness-of-fit measures for structural equation modeling -- Emerging techniques in multivariate analysis -- Appendix A: Applications of multivariate data analysis.

For graduate courses in Marketing Research, Research Design and Data Analysis. For the non-statistician, this applications-oriented introduction to multivariate analysis reduces the amount of statistical notation and terminology used while focusing on the fundamental concepts that affect the use of specific techniques.

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