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IBM SPSS by Example

IBM SPSS by Example
A Practical Guide to Statistical Data Analysis

Second Edition

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



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

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



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

Sample Materials & Chapters

Chapter 1

Chapter 3

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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ISBN: 9781483319032