Statistical Analysis Quick Reference Guidebook With SPSS Examples

ISBN-10: 1412925606

ISBN-13: 9781412925600

Edition: 2007

List price: $70.00
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Description: Statistical Analysis Quick Reference Guidebook: With SPSS Examples is 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, authors Alan C. Elliott and Wayne A. Woodward provide succinct guidelines for performing an analysis, avoiding pitfalls, interpreting results, and reporting outcomes. Key Features: Provides relevant statistical concepts in a comprehendible style: This reference is accessibly designed to assist researchers in applying the proper statistical procedure to their data and reporting results in a professional manner consistent with commonly accepted practice. This guidebook helps researchers make sure they are using an appropriate application, design considerations, tips and caveats, and much more! Offers statistical insights with SPSS examples: Examples for each analysis are performed using SPSS and step-by-step instructions on how to perform the analysis are given. This guidebook provides information about how to plan a study, prepare data for analysis in SPSS, perform the analysis, and interpret the SPSS output. It also covers useful analyses using SPSS that are not often included in other SPSS how-to books. Answers many statistical questions on the spot: Written from the perspective of a statistical consultant, this book provides a wealth of information to the researcher who has limited statistical experience. From assumptions and design to computation, interpretation, and presentation of results, the information provided in this book saves the researcher time, money, and frustration! Intended Audience: This guidebook is designed to be a statistical reference book for a wide variety of disciplines in the sciences and social sciences. It is specifically useful for undergraduate and graduate introductory statistical methods course that emphasizes the use of computers, particularly SPSS, to perform analyses.

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Book details

List price: $70.00
Copyright year: 2007
Publisher: SAGE Publications, Incorporated
Publication date: 8/10/2006
Binding: Paperback
Pages: 280
Size: 6.00" wide x 9.00" long x 0.60" tall
Weight: 1.100
Language: English

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.nbsp; He has authored or coauthored over 70 scientific papers and four books.nbsp;

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.nbsp;

List of Tables and Figures
Acknowledgments
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
Describing and Examining Data
Example Data Files
Describing Quantitative Data
Describing Categorical Data
Summary
References
Comparing One or Two Means Using the t-Test
One-Sample t-Test
Two-Sample t-Test
Paired t-Test
Summary
References
Correlation and Regression
Correlation Analysis
Simple Linear Regression
Multiple Linear Regression
Bland-Altman Analysis
Summary
References
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
Analysis of Variance and Covariance
One-Way ANOVA
Two-Way Analysis of Variance
Repeated-Measures Analysis of Variance
Analysis of Covariance
Summary
References
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
Logistic Regression
Introduction to Logistic Regression
Simple Logistic Regression
Multiple Logistic Regression
Summary
References
A Brief Tutorial for Using SPSS for Windows
Working With Data in SPSS
Transforming, Recoding, and Categorizing Your Data
Choosing the Right Procedure to Use
How to Use the Tables
Index
About the Authors
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