IBM SPSS by Example
A Practical Guide to Statistical Data Analysis
2nd Edition
Published on 17. March 2015
Book
Paperback/Softback
368 pages
978-1-4833-1903-2 (ISBN)
Description
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.
Reviews / Votes
"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 DenverMore details
Edition
2nd Revised edition
Language
English
Place of publication
Thousand Oaks
United States
Target group
College/higher education
Edition type
Revised edition
Dimensions
Height: 232 mm
Width: 187 mm
Weight
558 gr
ISBN-13
978-1-4833-1903-2 (9781483319032)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Alan C. Elliott | Wayne A. Woodward
Statistical Analysis Quick Reference Guidebook
With SPSS Examples
Book
09/2006
1st Edition
SAGE Publications Inc
€89.33
Article exhausted; check for reprint
Persons
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 Analysis, and Statistical Analysis Quick reference Guidebook with SPSS Examples. Elliott has taught university-level courses in statistics, statistical consulting, and statistical computing for over twenty-five years.
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 Excellence, and he received the 2006-2007 Scholar/Teacher of the Year Award at SMU, an award given by the United Methodist Church. . Over the last 35 years he has served as statistical consultant to a wide variety of clients in the scientific community and has taught statistics courses ranging from introductory undergraduate statistics courses to graduate courses within the Ph.D. program in Statistics at Southern Methodist University. He has been funded on numerous research grants and contracts from government and industry to study such issues as global warming and nuclear monitoring. He has authored or coauthored over 70 scientific papers and four books.
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 Excellence, and he received the 2006-2007 Scholar/Teacher of the Year Award at SMU, an award given by the United Methodist Church. . Over the last 35 years he has served as statistical consultant to a wide variety of clients in the scientific community and has taught statistics courses ranging from introductory undergraduate statistics courses to graduate courses within the Ph.D. program in Statistics at Southern Methodist University. He has been funded on numerous research grants and contracts from government and industry to study such issues as global warming and nuclear monitoring. He has authored or coauthored over 70 scientific papers and four books.
Content
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
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