Multivariate data analysis / Joseph F. Hair (Author) [ et al...]

Contributor(s):

, Hair, Joseph F., Jr., 1944-

Material type: Text

TextPublication details: Harlow: Pearson Education Limited ,2014.Description: 734p.: ill.; 28cmISBN:

9781292021904

Subject(s):

Multivariate analysis | Multivariate analysis | Data processing | Multivariate analysis Statistics | Statistics

DDC classification:

519.535 MUL

Contents:

1. Overview of multivariate methods 2. Examining your data 3. Exploratory factor analysis 4. Multiple regression analysis 5. Multiple discriminate analysis 6. Logistic regression: regression with a binary dependent variable 7. Conjoint analysis 8. Cluster analysis 9. Multidimensional scaling 10. Analyzing nominal data with correspondence analysis 11. Structural equational modeling overview 12. Confirmatory factor analysis 13. Testing structural equations model 14. MANOVA and GLM

Summary: For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. This text provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques. In this revision, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques

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Holdings
Item type	Current library	Call number	Copy number	Status	Barcode
Book	Mzumbe University Main Campus Library	519.535 MUL (Browse shelf(Opens below))	1	Available	0081108
Book	Mzumbe University Main Campus Library	519.535 MUL (Browse shelf(Opens below))	2	Available	0083169
Book	Mzumbe University Main Campus Library	519.535 MUL (Browse shelf(Opens below))	3	Available	0083167
Book	Mzumbe University Main Campus Library	519.535 MUL (Browse shelf(Opens below))	4	Available	0083168
Book	Mzumbe University Main Campus Library	519.535 MUL (Browse shelf(Opens below))	5	Available	0081105
Book	Mzumbe University Main Campus Library	519.535 MUL (Browse shelf(Opens below))	6	Available	0081106
Book	Mzumbe University Main Campus Library	519.535 MUL (Browse shelf(Opens below))	7	Available	0081117

Total holds: 0

Includes references and index

1. Overview of multivariate methods
2. Examining your data
3. Exploratory factor analysis
4. Multiple regression analysis
5. Multiple discriminate analysis
6. Logistic regression: regression with a binary dependent variable
7. Conjoint analysis
8. Cluster analysis
9. Multidimensional scaling
10. Analyzing nominal data with correspondence analysis
11. Structural equational modeling overview
12. Confirmatory factor analysis
13. Testing structural equations model
14. MANOVA and GLM

For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. This text provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques. In this revision, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques

eng.

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