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

Third Edition
Additional resources:


October 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

 
Summary

 
References

 
 
Chapter 2 • Describing and Examining Data
Example Data Files

 
Describing Quantitative Data

 
Describing Categorical Data

 
Summary

 
References

 
 
Chapter 3 • Creating and Using Graphs
Introduction to SPSS Graphs

 
Guidelines for Creating and Using Graphs

 
Chart Builder

 
Graphboard Template Chooser

 
Legacy Plots

 
Scatterplots

 
Histograms

 
Bar Charts

 
Pie Charts

 
Boxplots

 
Summary

 
References

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

 
Two-Sample t-Test

 
Paired t-Test

 
Summary

 
References

 
 
Chapter 5 • Correlation and Regression
Correlation Analysis

 
Simple Linear Regression

 
Multiple Linear Regression

 
Summary

 
References

 
 
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

 
Summary

 
References

 
 
Chapter 7 • Analysis of Variance and Covariance
One-Way ANOVA

 
Two-Way Analysis of Variance

 
Repeated-Measures Analysis of Variance

 
Analysis of Covariance

 
Summary

 
References

 
 
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

 
Summary

 
Reference

 
 
Chapter 9 • Logistic Regression
Appropriate Applications for Logistic Regression

 
Simple Logistic Regression

 
Multiple Logistic Regression

 
Summary

 
References

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

Supplements

“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

Sample Materials & Chapters

2: Describing and Examining Data

3: Creating and Using Graphs


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ISBN: 9781544360423
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