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Statistical Analysis Quick Reference Guidebook Alan C. Elliott

Statistical Analysis Quick Reference Guidebook By Alan C. Elliott

Statistical Analysis Quick Reference Guidebook by Alan C. Elliott

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Summary

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 more.

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Statistical Analysis Quick Reference Guidebook Summary

Statistical Analysis Quick Reference Guidebook: With SPSS Examples by Alan C. Elliott

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.

About 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 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.

Table of Contents

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

Additional information

CIN1412925606VG
9781412925600
1412925606
Statistical Analysis Quick Reference Guidebook: With SPSS Examples by Alan C. Elliott
Alan C. Elliott
Used - Very Good
Paperback
SAGE Publications Inc
2006-09-26
280
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

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