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Multivariate Data Analysis, Pearson New International Edition + Foolproof Guide to Statistics Using IBM SPSS

Multivariate Data Analysis, Pearson New International Edition + Foolproof Guide to Statistics Using IBM SPSS

ISBN 9781486024186
Edition 7
Publication Date
Publisher Scientific Book Company
Author(s)
Overview

This pack contains 1 copy of Multivariate Data Analysis, Pearson New International Edition, and 1 copy of Foolproof Guide to Statistics Using IBM SPSS.

The name SPSS will be used throughout this ediiton which is intended to provide a foundation for understanding statistics and the use of SPSS. It has been developed primarily for students of psychology, but has application to other disciplines where quantitative research is used (provided the reader can stand having examples drawn from psychology).

New in this edition:

How to boxes for SPSS procedures, updated for PASW 18 A List of How To Boxes following the Table of Contents The new style for nonparametric tests shown in Appendix 2 Sample Results sections updated consistent with the new edition of the APA Manual1 A new section on overlapping confidence intervals and statistical significance (p. 141) Each chapter contains a worked example, and students are advised to treat these as tutorial exercises, working through each one, exploring the other options available in each of the SPSS procedures, examining the output that is produced, and comparing it to the extracts provided in the chapter.

The shaded How to boxes show the steps needed to perform various operations and analyses, and pages illustrating output from analyses are identified by shaded bars down the outside margin.

Multivariate Data Analysis

For graduate and upper-level undergraduate marketing research courses.

For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. 

The authors provide 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 seventh revision, the organisation 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.

Overview

This pack contains 1 copy of Multivariate Data Analysis, Pearson New International Edition, and 1 copy of Foolproof Guide to Statistics Using IBM SPSS.

The name SPSS will be used throughout this ediiton which is intended to provide a foundation for understanding statistics and the use of SPSS. It has been developed primarily for students of psychology, but has application to other disciplines where quantitative research is used (provided the reader can stand having examples drawn from psychology).

New in this edition:

How to boxes for SPSS procedures, updated for PASW 18 A List of How To Boxes following the Table of Contents The new style for nonparametric tests shown in Appendix 2 Sample Results sections updated consistent with the new edition of the APA Manual1 A new section on overlapping confidence intervals and statistical significance (p. 141) Each chapter contains a worked example, and students are advised to treat these as tutorial exercises, working through each one, exploring the other options available in each of the SPSS procedures, examining the output that is produced, and comparing it to the extracts provided in the chapter.

The shaded How to boxes show the steps needed to perform various operations and analyses, and pages illustrating output from analyses are identified by shaded bars down the outside margin.

Multivariate Data Analysis

For graduate and upper-level undergraduate marketing research courses.

For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. 

The authors provide 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 seventh revision, the organisation 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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