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Multivariate Data Analysis

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Description
For graduate-level courses in Marketing Research, Research Design and Data Analysis.
Multivariate Data Analysis provides an applications-oriented introduction to multivariate data analysis for the nonstatistician by focusing on the fundamental concepts that affect the use of specific techniques.

Features
For graduate-level courses in Marketing Research, Research Design and Data Analysis.
Multivariate Data Analysis provides an applications-oriented introduction to multivariate data analysis for the nonstatistician by focusing on the fundamental concepts that affect the use of specific techniques.

Question: Do your students struggle with the application and interpretation of various techniques in multivariate data analysis?
NEW "Rules of Thumb" for the application and interpretation of the various techniques in multivariate data analysis.
Benefit: These guidelines will facilitate utilization of techniques.
Example: "Rules of Thumb" are highlighted and integrated throughout the chapters to facilitate ease of use.
New to this Edition
Question: Do your students struggle with the application and interpretation of various techniques in multivariate data analysis?
NEW "Rules of Thumb" for the application and interpretation of the various techniques in multivariate data analysis.
Benefit: These guidelines will facilitate utilization of techniques.
Example: "Rules of Thumb" are highlighted and integrated throughout the chapters to facilitate ease of use.

OTHER CHANGES:
NEW database - HBAT. The emphasis on improved measurement, particularly multi-item contructs led to the development of HBAT. HBAT is a teaching tool with the various techniques that is comparable to the HATCO database.
Expanded coverage of Structural Equations Modeling. Three new chapters (Chapters 10, 11, and 12) provide a comprehensive introduction to the structural equations modeling technique.
NEW website: www.prenhall.com/hair This website provides links to resources for each technique as well as a forum for identifying new topics or statistical methods.




Table of Contents
Chapter 1: Introduction
Chapter 2: Examining Your Data
Chapter 3: Factor Analysis
Chapter 4: Regression
Chapter 5: Multiple Discriminant Analysis
Chapter 6: Manova
Chapter 7: Conjoint Analysis
Chapter 8: Cluster Analysis
Chapter 9: MDS
Chapter 10: Structural Equation Modeling: An Introduction
Chapter 11: SEM: Confirmatory Factor Analysis
Chapter 12: SEM: Testing A Structural Model

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

657.0285 Hai m

Penerbit

United States of America : Prentice Hall., 2006

Deskripsi Fisik

xxiv, 899 hlm ; 25 cm

Bahasa

English

ISBN/ISSN

9780132281393

Klasifikasi

657.0285

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

6

Subjek

Analisis Data

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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