Statistical Analysis Quick Reference Guidebook
With SPSS Examples
1st Edition
Published on 26. September 2006
Book
Paperback/Softback
280 pages
978-1-4129-2560-0 (ISBN)
Description
A practical `cut to the chase' handbook that 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. In this one-stop reference, the authors provide succinct guidelines for performing an analysis, avoiding pitfalls, interpreting results and reporting outcomes.
More details
Language
English
Place of publication
Thousand Oaks
United States
Target group
College/higher education
Dimensions
Height: 229 mm
Width: 152 mm
Weight
369 gr
ISBN-13
978-1-4129-2560-0 (9781412925600)
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
New editions
Alan C. Elliott | Wayne A. Woodward
IBM SPSS by Example
A Practical Guide to Statistical Data Analysis
Book
03/2015
2nd Edition
SAGE Publications Inc
€94.28
Shipment within 10-20 days
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
List of Tables and Figures
Acknowledgments
1. Introduction
Getting the Most Out of This Quick Reference Guidebook
A Brief Review 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
Guidelines for Creating and Using Graphs
Downloading Sample SPSS Data Files
Opening Data Files for Examples
Summary
References
2. Describing and Examining Data
Example Data Files
Describing Quantitative Data
Describing Categorical Data
Summary
References
3. Comparing One or Two Means Using the t-Test
One-Sample t-Test
Two-Sample t-Test
Paired t-Test
Summary
References
4. Correlation and Regression
Correlation Analysis
Simple Linear Regression
Multiple Linear Regression
Bland-Altman Analysis
Summary
References
5. Analysis of Categorical Data
Contingency Table Analysis (r x c)
Analyzing Risk Ratios in a 2 x 2 Table
McNemar's Test
Mantel-Haenszel Comparison
Tests of Interrater Reliability
Goodness-of-Fit Test
Other Measures of Association for Categorical Data
Summary
References
6. Analysis of Variance and Covariance
One-Way ANOVA
Two-Way Analysis of Variance
Repeated-Measures Analysis of Variance
Analysis of Covariance
Summary
References
7. Nonparametric Analysis Procedures
Spearman's Rho
Mann-Whitney (Two Independent Groups Test)
Kruskal-Wallis Test
Sign Test and Wilcoxon Signed-Rank Test for Matched Pairs
Friedman's Test
Summary
References
8. Logistic Regression
Introduction to Logistic Regression
Simple Logistic Regression
Multiple Logistic Regression
Summary
References
Appendix A: A Brief Tutorial for Using SPSS for Windows
Working With Data in SPSS
Transforming, Recoding, and Categorizing Your Data
Appendix B: Choosing the Right Procedure to Use
How to Use the Tables
Index
About the Authors
Acknowledgments
1. Introduction
Getting the Most Out of This Quick Reference Guidebook
A Brief Review 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
Guidelines for Creating and Using Graphs
Downloading Sample SPSS Data Files
Opening Data Files for Examples
Summary
References
2. Describing and Examining Data
Example Data Files
Describing Quantitative Data
Describing Categorical Data
Summary
References
3. Comparing One or Two Means Using the t-Test
One-Sample t-Test
Two-Sample t-Test
Paired t-Test
Summary
References
4. Correlation and Regression
Correlation Analysis
Simple Linear Regression
Multiple Linear Regression
Bland-Altman Analysis
Summary
References
5. Analysis of Categorical Data
Contingency Table Analysis (r x c)
Analyzing Risk Ratios in a 2 x 2 Table
McNemar's Test
Mantel-Haenszel Comparison
Tests of Interrater Reliability
Goodness-of-Fit Test
Other Measures of Association for Categorical Data
Summary
References
6. Analysis of Variance and Covariance
One-Way ANOVA
Two-Way Analysis of Variance
Repeated-Measures Analysis of Variance
Analysis of Covariance
Summary
References
7. Nonparametric Analysis Procedures
Spearman's Rho
Mann-Whitney (Two Independent Groups Test)
Kruskal-Wallis Test
Sign Test and Wilcoxon Signed-Rank Test for Matched Pairs
Friedman's Test
Summary
References
8. Logistic Regression
Introduction to Logistic Regression
Simple Logistic Regression
Multiple Logistic Regression
Summary
References
Appendix A: A Brief Tutorial for Using SPSS for Windows
Working With Data in SPSS
Transforming, Recoding, and Categorizing Your Data
Appendix B: Choosing the Right Procedure to Use
How to Use the Tables
Index
About the Authors