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Nancy L. Leech - IBM SPSS for Intermediate Statistics: Use and Interpretation, Fifth Edition

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Nancy L. Leech IBM SPSS for Intermediate Statistics: Use and Interpretation, Fifth Edition

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Designed to help readers analyze and interpret research data using IBM SPSS, this user-friendly book shows readers how to choose the appropriate statistic based on the design; perform intermediate statistics, including multivariate statistics; interpret output; and write about the results. The book reviews research designs and how to assess the accuracy and reliability of data; how to determine whether data meet the assumptions of statistical tests; how to calculate and interpret effect sizes for intermediate statistics, including odds ratios for logistic analysis; how to compute and interpret post-hoc power; and an overview of basic statistics for those who need a review. Unique chapters on multilevel linear modeling; multivariate analysis of variance (MANOVA); assessing reliability of data; multiple imputation; mediation, moderation, and canonical correlation; and factor analysis are provided. SPSS syntax with output is included for those who prefer this format.

The new edition features:

IBM SPSS version 22; although the book can be used with most older and newer versions

New discusiion of intraclass correlations (Ch. 3)

Expanded discussion of effect sizes that includes confidence intervals of effect sizes (ch.5)

New information on part and partial correlations and how they are interpreted and a new discussion on backward elimination, another useful multiple regression method (Ch. 6)

New chapter on how to use a variable as a mediator or a moderator (ch. 7)

Revised chapter on multilevel and hierarchical linear modeling (ch. 12)

A new chapter (ch. 13) on multiple imputation that demonstrates how to deal with missing data

Updated web resources for instructors including PowerPoint slides and answers to interpretation questions and extra problems and for students, data sets, chapter outlines, and study guides.

IBM SPSS for Intermediate Statistics, Fifth Edition provides helpful teaching tools:

all of the key SPSS windows needed to perform the analyses

outputs with call-out boxes to highlight key points

interpretation sections and questions to help students better understand and interpret the output

extra problems with realistic data sets for practice using intermediate statistics

Appendices on how to get started with SPSS, write research questions, and basic statistics.

An ideal supplement for courses in either intermediate/advanced statistics or research methods taught in departments of psychology, education, and other social, behavioral, and health sciences. This book is also appreciated by researchers in these areas looking for a handy reference for SPSS

Nancy L. Leech: author's other books


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IBM SPSS for Intermediate Statistics Use and Interpretation Fifth Edition - photo 1
IBM SPSS for Intermediate Statistics: Use and Interpretation Fifth Edition

Designed to help readers analyze and interpret research data using IBM SPSS, this user-friendly book shows readers how to choose the appropriate statistic based on the design; perform intermediate statistics, including multivariate statistics; interpret output; and write about the results. The book reviews research designs and how to assess the accuracy and reliability of data; how to determine whether data meet the assumptions of statistical tests; how to calculate and interpret effect sizes for intermediate statistics, including discriminant analyses and odds ratios for logistic; how to compute and interpret post-hoc power; and an overview of basic statistics for those who need a review. Unique chapters on multilevel linear modeling; multivariate analysis of variance (MANOVA); assessing reliability of data; multiple imputation; mediation, moderation, and canonical correlation; and factor analysis are provided. SPSS syntax with output is included for those who prefer this format.

The new edition features:

  • IBM SPSS version 22; although the book can be used with most older and newer versions
  • Expanded discussion of effect sizes that includes confidence intervals of effect sizes ()
  • New information on part and partial correlations and how they are interpreted and a new discussion on backward elimination, another useful multiple regression method ()
  • New chapter on how use a variable as a mediator or a moderator ()
  • Revised chapter on multilevel and hierarchical linear modeling ()
  • A new chapter () on multiple imputation that demonstrates how to deal with missing data
  • Updated web resources for instructors including PowerPoint slides, answers to interpretation questions and extra SPSS problems; and for students, data sets, and chapter outlines and study guides.

IBM SPSS for Intermediate Statistics, Fifth Edition provides helpful teaching tools:

  • All of the key SPSS windows needed to perform the analyses
  • Outputs with call-out boxes to highlight key points
  • Interpretation sections and questions to help students better understand and interpret the output
  • Extra problems using multiple realistic data sets for practice in conducting analyses using intermediate statistics
  • Appendices on how to get started with SPSS, write research questions, and basic statistics.

An ideal supplement for courses in either intermediate/advanced statistics or research methods taught in departments of psychology, education, and other social and health sciences. This book is also appreciated by researchers in these areas looking for a handy reference for SPSS.

Nancy L. Leech is Professor in the School of Education and Human Development at the University of Colorado Denver.

Karen C. Barrett is Professor of Human Development and Family Studies at Colorado State University.

George A. Morgan is an Emeritus Professor of Education and Human Development at Colorado State University.

IBM SPSS for Intermediate Statistics

Use and Interpretation

Fifth Edition

Nancy L. Leech
Karen C. Barrett
George A. Morgan

First published 2015 by Routledge 711 Third Avenue New York NY 10017 and by - photo 2

First published 2015
by Routledge
711 Third Avenue, New York, NY 10017

and by Routledge
27 Church Road, Hove, East Sussex BN3 2FA

Routledge is an imprint of the Taylor & Francis Group, an informa business

2015 Taylor & Francis

The right of Nancy L. Leech, Karen C. Barrett, and George A. Morgan to be identified as the 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 utilized 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.

Trademark notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identification and explanation without intent to infringe.

Library of Congress Cataloging in Publication Data
Leech, Nancy L.
[SPSS for intermediate statistics]
IBM SPSS for intermediate statistics: use and interpretation / authored by Nancy L. Leech, Karen C. Barrett, and George A. Morgan. -- Fifth edition.
pages cm
Includes index.
ISBN 978-1-138-80117-2 (hardback) -- ISBN 978-1-84872-999-5 (pbk.) -- ISBN 978-0-20312277-8 (ebook) 1. SPSS for Windows. 2. SPSS (Computer file) 3. Social sciences--Statistical methods--Computer programs. I. Barrett, Karen Caplovitz. II. Morgan, George A. (George Arthur), 1936- III. Title
HA32.L444 2015
005.5'5--dc23
2014012307

ISBN: [978-1-138-80117-2] (hbk)
ISBN: [978-1-84872-999-5] (pbk)
ISBN: [978-0-203-12277-8] (ebk)

Typeset in Times New Roman

Publisher's Note
This book has been prepared from camera-ready copy provided by the authors.

Table of Contents
Appendices
by Don Quick and Madison Myers
by John M. Cumming and Andrea Weinberg

This book is designed to help students learn how to analyze and interpret research data with intermediate statistics. It is intended to be a supplemental text in an intermediate statistics course in the behavioral sciences, social sciences, or education and it can be used in conjunction with any mainstream text. We have found that the book makes IBM SPSS easy to use so that it is not necessary to have a formal, instructional computer lab; you should be able to learn how to use SPSS on your own with this book. Access to the SPSS program and some familiarity with Windows is all that is required. Although SPSS is quite easy to use, there is such a wide variety of options and statistics that knowing which ones to use and how to interpret the printouts can be difficult. This book is intended to help with these challenges.

SPSS 22 and Earlier Versions

We use SPSS 22 from IBM SPSS in this book; except for enhanced tables and graphics, there are only minor differences from SPSS version 10 to 22. We expect future Windows and Mac versions to be similar. Our students have used earlier editions of this book with all of the recent versions of SPSS; most of the procedures and outputs are the same or very similar. We point out some of the changes at various points in the text.

In addition to various SPSS modules that may be available at your university, there are versions available to students that you can rent for 6 or 12 months online. You can get information about available products for graduate students by visiting http://www-01.ibm.com/software/analytics/spss/products/statistics /gradpack/. IBM SPSS Statistics Standard GradPack enables you to do all the statistics in this book (except for data imputation in ), those in our IBM SPSS for Introductory Statistics, 5th edition (Morgan, Leech, Gloeckner, & Barrett, 2013), and many others.

Goals of This Book

This book demonstrates how to produce a variety of statistics that are usually included in intermediate statistics courses, plus some (e.g., reliability measures, canonical correlation, and multilevel models) that are unusual in intermediate statistics books. We also show imputation methods to deal with missing data, and we show how one can see if a variable is a mediator or moderator. These methods may be useful in your research. Our goal is to describe the use and interpretation of these statistics as much as possible in nontechnical, jargon-free language.

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