John T. Kulas - IBM SPSS Essentials: Managing and Analyzing Social Sciences Data

1. Chapter 4
2. Chapter 7
3. Chapter 9
4. Chapter 12

1. Chapter 2
2. Chapter 3
3. Chapter 4
4. Chapter 5
5. Chapter 6
6. Chapter 7
7. Chapter 8
8. Chapter 9
9. Chapter 10
10. Chapter 11
11. Chapter 12
12. Chapter 13
13. Chapter 14
14. Chapter 15
15. Chapter 16
16. Chapter 17

Second Edition

John Kulas

Northern Illinois University

Renata Garcia Prieto Palacios Roji

Montclair State University

Adam Smith

Auburn University

This edition first published 2021

2021 John Wiley and Sons, Inc.

Edition History

Jossey-Bass (1e, 2018)

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The right of John Kulas, Renata Garcia Prieto Palacios Roji, and Adam Smith to be identified as the authors of this work has been asserted in accordance with law.

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Library of Congress CataloginginPublication Data

Names: Kulas, John T., author.

Title: IBM SPSS essentials : managing and analyzing social sciences data /

John Kulas, Northern Illinois University, Renata Garcia Prieto Palacios Roji, Montclair State University,

Adam Smith, Auburn University.

Other titles: SPSS essentials

Description: Third edition. | Hoboken, NJ : John Wiley & Sons, Inc., [2020]

| Earlier editions published as: SPSS essentials : managing and

analyzing social sciences data.

Identifiers: LCCN 2020025372 (print) | LCCN 2020025373 (ebook) | ISBN

9781119417422 (paperback) | ISBN 9781119417439 (adobe pdf) | ISBN

9781119417446 (epub)

Subjects: LCSH: SPSS (Computer file) | Social sciences Computer programs.

Classification: LCC HA32 .K85 2020 (print) | LCC HA32 (ebook) | DDC

300.285/555 dc23

LC record available at https://lccn.loc.gov/2020025372

LC ebook record available at https://lccn.loc.gov/2020025373

Cover Design: Wiley

Cover Image: sesame/Getty Images

We would like to dedicate this book to those who have brought happiness, love, and fun into our lives Judy Kulas, Zak Kulas, Yvan Vazquez, Ricardo Garcia Prieto, Connie Palacios Roji, Steven Boomhower, and Lee & Phyllis Smith.

This book represents a summarized compilation of problemsolving successes that we collectively gleaned while working for various academic and private organizations. These are all institutions at which we've held jobs and at which at least a portion of our duties included minimizing errors in various applications (including SPSS).

This is a how to book. We present a system for using a software program known by the ubiquitous anagram: SPSS. You are not expected to know anything about SPSS at the beginning of the book however, by the time you get to the end of the book, you are expected to know enough about SPSS to comfortably use the program. The intended audience of this second edition is undergraduate students who are learning SPSS in classroom environments (whether the delivery of the class content is in person or online). This differs in focus from the first edition, which was intended to be a bookshelf reference a guide for practitioners who are using SPSS with realworld data (which is almost always messy). The information found in this book should not become outdated with future versions of SPSS the basic premise will be useful with SPSS version .

Regardless of slight shifting of organization and emphasis, the purpose of both versions of this book is to teach you how you should use SPSS. The goal throughout is to minimize errors. Errors can occur in data entry, analysis interpretation, and even the choice of which dataset to use for analysis. This last error, sadly, has increased in probability with the most recently released versions of SPSS. If you follow the how tos of this book, you will greatly decrease your likelihood of introducing errors into your research/analyses. Essentially, the book is a template for how you should organize your SPSS life. Generally speaking, you will learn to organize through keeping diaries of what you: (1) plan to do, (2) actually do, and (3) (perhaps regrettably) did.

The initial title of this book, when it was only used in the first author's personal statistics classes, was Use syntax or I'll bonk you over the head with this book and other cheerful stories from an SPSS practitioner. When it was decided that the material in that book should be made more widely available, the title was changed but the basic message of the initial book is the same our intent is to build your skill not only using SPSS, but also in using it in a manner that keeps a record of what you've done and increases your chances of finding and correcting errors. This is accomplished via using syntax.

Students will find this text helpful as a supportive framework while learning statistics knowing how to properly use SPSS will ideally parallel your increasing knowledge of statistical procedures (e.g. SPSS can confirm or disconfirm, for example, exercises that may also be calculated by hand). Instructors should find this text a useful stepoff point for instruction (i.e. you should be able to focus on SPSS's relevance to classroom material instead of database setup, variable identification, etc.). Practitioners will likely find the previous edition of this text a more useful reference and guide with realworld data, so we recommend searching for a first edition if you intend to use SPSS in your work (e.g. outside of a classroom setting).