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Quick Guide to IBM® SPSS®

Quick Guide to IBM® SPSS®
Statistical Analysis With Step-by-Step Examples

Third Edition

August 2019 | 392 pages | SAGE Publications, Inc

A perfect supplement for an introductory statics course.

Quick Guide to IBM® SPSS®: Statistical Analysis With Step-by-Step Examples gives students the extra guidance with SPSS they need without taking up valuable in-class time. A practical, accessible guide for using software while doing data analysis in the social sciences, students can learn SPSS on their own, allowing instructors to focus on the concepts and calculations in their lectures, rather than SPSS tutorials. Designed to work across disciplines, the authors have provided a number of SPSS "step-by-step" examples in chapters showing the user how to plan a study, prepare data for analysis, perform the analysis and interpret the output from SPSS. 

The new Third Edition covers IBM® SPSS® version 25, includes a new section on Syntax, and all chapters have been updated to reflect current menu options along with many SPSS screenshots, making  the process much simpler for the user. In addition, helpful hints and insights are provided through the features "Tips and Caveats" and "Sidebars."


Preface & Acknowledgments
About the Authors
Chapter 1 • Introduction
Getting the Most Out of Quick Guide to IBM SPSS

A Brief Overview of the Statistical Process

Understanding Hypothesis Testing, Power, and Sample Size

Understanding the p-Value

Planning a Successful Analysis

Guidelines for Creating Data Sets

Preparing Excel Data for Import

Guidelines for Reporting Results

Downloading Sample SPSS Data Files

Opening Data Files for Examples



Chapter 2 • Describing and Examining Data
Example Data Files

Describing Quantitative Data

Describing Categorical Data



Chapter 3 • Creating and Using Graphs
Introduction to SPSS Graphs

Guidelines for Creating and Using Graphs

Chart Builder

Graphboard Template Chooser

Legacy Plots



Bar Charts

Pie Charts




Chapter 4 • Comparing One or Two Means Using the t-Test
One-Sample t-Test

Two-Sample t-Test

Paired t-Test



Chapter 5 • Correlation and Regression
Correlation Analysis

Simple Linear Regression

Multiple Linear Regression



Chapter 6 • Analysis of Categorical Data
Contingency Table Analysis (r × c)

Contingency Table Examples

McNemar’s Test

Mantel-Haenszel Meta-Analysis Comparison

Tests of Interrater Reliability

Goodness-of-Fit Test

Other Measures of Association for Categorical Data



Chapter 7 • Analysis of Variance and Covariance

Two-Way Analysis of Variance

Repeated-Measures Analysis of Variance

Analysis of Covariance



Chapter 8 • Nonparametric Analysis Procedures
Spearman’s Rho

Mann-Whitney-Wilcoxon (Two Independent Groups Test)

Kruskal-Wallis Test

Sign Test and Wilcoxon Signed-Rank Test for Matched Pairs

Friedman’s Test



Chapter 9 • Logistic Regression
Appropriate Applications for Logistic Regression

Simple Logistic Regression

Multiple Logistic Regression



Appendix A: A Brief Tutorial for Using IBM SPSS for Windows
Appendix B: Choosing the Right Procedure to Use


“Wonderful feedback from my graduate students using this textbook!”

Shlomo Sawilowsky
Wayne State University

“This book is an ideal resource and a guide for understanding basic concepts of statistics.” 

Vinayak Nahar
Lincoln Memorial University

“I really appreciate the detailed yet also practical approach. I also appreciate the comprehensive approach to the topics so that students are better grounded in how to think about their statistical analysis.”

Carrie Petrucci
Alliant International University

It was a great book, but was too advanced for my course and students. I would definitely use it if I ever get to teach a higher level of stats, though.

Dr Samantha Balemba
Criminal Justice, Montana State Univ-Northern
November 11, 2020

This is a strong companion book to assist my newly introduced undergraduate students and graduate students (often times far removed and revisiting statistics) to SPSS. The book is clear and concisely written and touches upon many of the underlying questions students have while independently utilizing the software to complete homework assignments, the basics of independent database design and statistical analysis.

Charlalynn Harris
Online & Professional Studies, California Baptist University
November 14, 2019

Newest addition of what we were using. However, this book has tons of errors and the index was never updated for new pagination. Extremely displeased.

Steve Viger
Mathematics Dept, Davenport Univ-Lettinga
February 24, 2021

Alan C. Elliott

Alan Elliott is the Director of the Statistical Consulting Center at Southern Methodist University within the Department of Statistical Science. Previously he served as a statistical consultant in the Department of Clinical Science at the University of Texas Southwestern Medical Center at Dallas for 30 years. Elliott holds master’s degrees in Business Administration (MBA) and Applied Statistics (MAS). He has authored or coauthored over 35 scientific articles and over a dozen books including the Directory of Microcomputer Statistical Software, Microcomputing with Applications, Using Norton Utilities, SAS Essentials, Applied Time Series... More About Author

Wayne A. Woodward

Wayne A. Woodward, Ph.D., is a Professor of Statistics and chair of the Department of Statistical Science at Southern Methodist University. He is a fellow of the American Statistical Association and was the 2004 recipient of the Don Owen award for excellence in research, statistical consulting, and service to the statistical community. In 2007 he received the Outstanding Presentation Award given by the Section on Physical and Engineering Sciences at the 2007 Joint Statistical Meetings in Salt Lake City, Utah. In 2003 he was named a Southern Methodist University Distinguished Teaching Professor by the university’s Center for Teaching... More About Author

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