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IBM SPSS by Example
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IBM SPSS by Example
A Practical Guide to Statistical Data Analysis

Second Edition
Additional resources:


January 2015 | 368 pages | SAGE Publications, Inc

The updated Second Edition of Alan C. Elliott and Wayne A. Woodward’s “cut to the chase” IBM SPSS guide quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision making in a wide variety of disciplines. This one-stop reference provides succinct guidelines for performing an analysis using SPSS software, avoiding pitfalls, interpreting results, and reporting outcomes. Written from a practical perspective, IBM SPSS by Example, Second Edition provides a wealth of information—from assumptions and design to computation, interpretation, and presentation of results—to help users save time, money, and frustration.


 
Chapter 1: Introduction
Getting the Most Out of IBM SPSS by Example  
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  
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  
Chart Builder  
Graphboard Template Chooser  
Legacy Plots  
Scatterplots  
Histograms  
Bar Charts  
Pie Charts  
Box Plots  
 
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  
McNemar’s Test  
Mantel-Haenszel Comparison  
Tests of Interrater Reliability  
Goodness-of-Fit Test  
Other Measures of Association for Categorical Data  
 
Chapter 7: Analysis of Variance and Covariance
One-Way ANOVA  
Two-Way Analysis of Variance  
Repeated-Measures Analysis of Variance  
Analysis of Covariance  
 
Chapter 8: Non-parametric 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
Simple Logistic Regression  
Multiple Logistic Regression  
 
Chapter 10: Factor Analysis
Factor Analysis Examples  

Supplements

Companion Website
Visit the website for SPSS data files and additional examples.

“This text not only helps the user to quickly navigate SPSS, but also provides critical aspects of each of the tests… I do not think that there is a better text for SPSS users who are looking for a quick introduction and succinct guidance.”

Philip J. Murphy, Monterey Institute of International Studies

“All in all, [this text] will become an indispensable tool for anyone that seeks to use statistical procedures to analyze data and to report the same effectively.”

Tyrone Bynoe, University of the Cumberlands

“[This text is] very readable and comprehensible for intermediate level students.”

Alan Davis, University of Colorado Denver
Key features

NEW TO THIS EDITION:

  • Step-by-step SPSS instructions have been integrated into every example.
  • An all-new chapter describes the three methods used by SPSS to create graphics.
  • A new Chapter 10 on Factor Analysis has been added.
  • Examples in every chapter have been enhanced with added discussion and more detail.
  • Additional screen shots and a redesigned format make the book easier to read and information easier to locate.
  • All examples have been updated to reflect features in the latest version of SPSS.

KEY FEATURES:

  • The book walks readers through how to pick an analysis, run it, and write it up.
  • Easy-to-understand coverage of relevant statistical concepts help SPSS users apply the proper statistical procedure to their data and report results in a professional manner consistent with commonly accepted practice.
  • Step-by-step examples help users perform data analysis using appropriate statistical procedures while avoiding common pitfalls.
  • For each example, the analysis is performed using SPSS and step-by-step instructions on how to perform the analysis are given.
  • Information about how to plan a study, prepare data for analysis in SPSS, perform the analysis, and interpret the SPSS output is included, along with coverage of useful analyses using SPSS that are often omitted in other SPSS how-to books.

Sample Materials & Chapters

Chapter 1

Chapter 3


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