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Using SPSS for Windows and Macintosh, 8th edition

Published by Pearson (July 11, 2016) © 2017

  • Samuel B. Green Arizona State University
  • Neil J. Salkind University of Kansas

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For courses in Political and Social Statistics

Using the popular SPSS software to de-mystify statistics

Using SPSS for Windows and Macintosh guides students through basic SPSS techniques, using step-by-step descriptions and explaining in detail how to avoid common pitfalls in the study of statistics. Authors Samuel Green and Neil Salkind provide extensive substantive information about each statistical technique, including a brief discussion of the technique, examples of how the statistic is applied, a sample data set that can be analyzed with the statistic, a discussion of the analysis results, practice exercises, and more. The Eighth Edition has been updated for SPSS version 23 (Windows/Mac), and now offers added accessibility and increased problem solving.

NOTE: This ISBN is for a Pearson Books a la Carte edition: a convenient, three-hole-punched, loose-leaf text. In addition to the flexibility offered by this format, Books a la Carte editions offer students great value, as they cost significantly less than a bound textbook.

New technology updates to keep pace with changing software

Version 23 of SPSS for Windows and version 23 for the Macintosh offer additional features of great value. For more details about the additional features, refer to the SPSS Web site http://www-01.ibm.com/common/ssi/cgi-bin/ssialias?infotype=PM&subtype=SP&htmlfid=YTD03023USEN.

Also please note the following:

  • SPSS is developed and owned by IBM and is formally referred to as IBM SPSS Statistics.
  • While this edition of Using SPSS for Windows and Macintosh focuses on version 23, the material within the chapters is directly applicable to other versions of SPSS as well. In other words, version 23 is backward compatible with most later versions of SPSS. While there may be some slight differences, and earlier versions offer fewer features, the user should have no difficulty adapting these materials to the version he or she has available.

Added Accessibility and Increased Problem Solving for a better user experience

  • NEW! Revisions to the instructions were made to ensure they were consistent with the latest version of SPSS.
  • NEW! Revisions to the statistical information make the book more usable to readers.
  • An accessible format – with jargon-free prose and standard typing convention – makes it easy for readers to follow each step.
  • NEW! A new exercise now appears at the end of each lesson in Part 1.
  • Student learning is supported through examples, sample screen shots, exercises at the end of each lesson, and tips in the margins that help students practice what they have read and learn short cuts to make SPSS easier to use.
  • Technology updates keep pace with changing software. Version 23 of SPSS for Windows and version 23 for the Macintosh offer additional features of great value.
  • Revisions to the instructions were made to ensure they were consistent with the latest version of SPSS.
  • Revisions to the statistical information make the book more usable to readers.
  • A new exercise now appears at the end of each lesson in Part 1.

Part I: Introducing SPSS
Unit 1: Getting Started with SPSS
Unit 2: Creating and Working with Data Files
Unit 3: Working with Data
Unit 4A: Working with SPSS Charts and Output for Windows
Unit 4B: Working with SPSS Charts and Output for Macintosh

Part II: Working with SPSS Procedures
Unit 5: Creating Variables and Computing Descriptive Statistics
Unit 6: t Test Procedures
Unit 7: Univariate and Multivariate
Unit 8: Correlation, Regression, and Discriminant Analysis Procedures
Unit 9: Scaling Procedures
Unit 10: Nonparametric Procedures

Samuel B. Green is a professor in the T. Denny Sanford School of Social and Family Dynamics at Arizona State University. Previously he was a professor in the Psychology Department at Auburn University and in the Department of Psychology and Research in Education at the University of Kansas. He conducts research primarily in the areas of structural equation modeling, factor analysis, multivariate analyses of means, and reliability. He has authored or coauthored articles in a variety of journals, including Psychological Methods, Structural Equation Modeling: A Multidisciplinary Journal, Psychometrika, Multivariate Behavioral Research, Applied Psychological Measurement, Educational and Psychological Measurement, Educational Measurement: Issues and Practices, and Methodology. He currently is on the editorial boards of Structural Equation Modeling: A Multidisciplinary Journal, Psychological Methods, Educational and Psychological Measurement, and Journal of Counseling Psychology.

Neil J. Salkind is a professor emeritus of educational psychology at the University of Kansas, where he taught for 35 years. He received his degree from the University of Maryland's Institute for Child Study and has published numerous journal articles and books, among them being Using SPSS with Sam Green (Prentice Hall), Exploring Research (Prentice Hall), and Statistics for People Who (Think They) Hate Statistics (Sage). He is active in the Society for Research in Child Development where he edited the journal Child Development Abstracts & Bibliography, and the American Psychological Association. He lives in Lawrence, Kansas.

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