Statistical Analysis Quick Reference Guidebook: With SPSS Examples

• Provides relevant statistical concepts in a comprehensible 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!

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.