Keenan A. Pituch - Applied Multivariate Statistics for the Social Sciences: Analyses with SAS and IBMs SPSS

Now in its 6th edition, the authoritative textbook Applied Multivariate Statistics for the Social Sciences, continues to provide advanced students with a practical and conceptual understanding of statistical procedures through examples and data-sets from actual research studies. With the added expertise of co-author Keenan Pituch (University of Texas-Austin), this 6th edition retains many key features of the previous editions, including its breadth and depth of coverage, a review chapter on matrix algebra, applied coverage of MANOVA, and emphasis on statistical power. In this new edition, the authors continue to provide practical guidelines for checking the data, assessing assumptions, interpreting, and reporting the results to help students analyze data from their own research confidently and professionally.

Features new to this edition include:

1. NEW chapter on Logistic Regression () that helps readers understand and use this very flexible and widely used procedure
2. NEW chapter on Multivariate Multilevel Modeling () that helps readers understand the benefits of this newer procedure and how it can be used in conventional and multilevel settings
3. NEW Example Results Section write-ups that illustrate how results should be presented in research papers and journal articles
4. NEW coverage of missing data () to help students understand and address problems associated with incomplete data
5. Completely re-written chapters on Exploratory Factor Analysis () with increased focus on understanding models and interpreting results
6. NEW analysis summaries, inclusion of more syntax explanations, and reduction in the number of SPSS/SAS dialogue boxes to guide students through data analysis in a more streamlined and direct approach
7. Updated syntax to reflect newest versions of IBM SPSS (21) /SAS (9.3)
8. A free online resources site www.routledge.com/9780415836661 with data sets and syntax from the text, additional data sets, and instructors resources (including PowerPoint lecture slides for select chapters, a conversion guide for 5th edition adopters, and answers to exercises).

Ideal for advanced graduate-level courses in education, psychology, and other social sciences in which multivariate statistics, advanced statistics, or quantitative techniques courses are taught, this book also appeals to practicing researchers as a valuable reference. Pre-requisites include a course on factorial ANOVA and covariance; however, a working knowledge of matrix algebra is not assumed.

Keenan Pituch is Associate Professor in the Quantitative Methods Area of the Department of Educational Psychology at the University of Texas at Austin.

James P. Stevens is Professor Emeritus at the University of Cincinnati.

Sixth edition

Sixth edition published 2016

by Routledge

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2016 Taylor & Francis

The right of Keenan A. Pituch and James P. Stevens to be identified as authors of this work has been asserted by them in accordance with sections 77 and 78 of the Copyright, Designs and Patents Act 1988.

All rights reserved. No part of this book may be reprinted or reproduced or utilised in any form or by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying and recording, or in any information storage or retrieval system, without permission in writing from the publishers.

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Fifth edition published by Routledge 2009

Library of Congress Cataloging-in-Publication Data

Pituch, Keenan A.
Applied multivariate statistics for the social sciences / Keenan A. Pituch and James P. Stevens 6th edition.
pages cm
Previous edition by James P. Stevens.
Includes index.
1.Multivariate analysis.2.Social sciencesStatistical methods.I.Stevens, James (James Paul)II.Title.
QA278.S74 2015
519.5'350243dc23
2015017536

ISBN 13: 978-0-415-83666-1(pbk)

ISBN 13: 978-0-415-83665-4(hbk)

ISBN 13: 978-1-315-81491-9(ebk)

Typeset in Times New Roman

by Apex CoVantage, LLC

Commissioning Editor: Debra Riegert

Textbook Development Manager: Rebecca Pearce

Project Manager: Sheri Sipka

Production Editor: Alf Symons

Cover Design: Nigel Turner

Companion Website Manager: Natalya Dyer

Copyeditor: Apex CoVantage, LLC

Keenan would like to dedicate this:
To his Wife: Elizabeth and
To his Children: Joseph and Alexis

Jim would like to dedicate this:
To his Grandsons: Henry and Killian and
To his Granddaughter: Fallon

The first five editions of this text have been received warmly, and we are grateful for that.

This edition, like previous editions, is written for those who use, rather than develop, advanced statistical methods. The focus is on conceptual understanding rather than proving results. The narrative and many examples are there to promote understanding, and a chapter on matrix algebra is included for those who need the extra help. Throughout the book, you will find output from SPSS (version 21) and SAS (version 9.3) with interpretations. These interpretations are intended to demonstrate what analysis results mean in the context of a research example and to help you interpret analysis results properly. In addition to demonstrating how to use the statistical programs effectively, our goal is to show you the importance of examining data, assessing statistical assumptions, and attending to sample size issues so that the results are generalizable. The text also includes end-of-chapter exercises for many chapters, which are intended to promote better understanding of concepts and have you obtain additional practice in conducting analyses and interpreting results. Detailed answers to the odd-numbered exercises are included in the back of the book so you can check your work.

Many changes were made in this edition of the text, including a new lead author of the text. In 2012, Dr. Keenan Pituch of the University of Texas at Austin, along with Dr. James Stevens, developed a plan to revise this edition and began work. The goals in revising the text were to provide more guidance on practical matters related to data analysis, update the text in terms of the statistical procedures used, and firmly align those procedures with findings from methodological research.

Key changes to this edition are:

1. Inclusion of analysis summaries and example results sections
2. Focus on just two software programs (SPSS version 21 and SAS version 9.3)
3. New chapters on Binary Logistic Regression ()
4. Completely rewritten chapters on structural equation modeling (SEM), exploratory factor analysis, and hierarchical linear modeling.

The analysis summaries provide a convenient guide for the analysis activities we generally recommend you use when conducting data analysis. Of course, to carry out these activities in a meaningful way, you have to understand the underlying statistical conceptssomething that we continue to promote in this edition. The analysis summaries and example results sections will also help you tie together the analysis activities involved for a given procedure and illustrate how you may effectively communicate analysis results.