Quick Guide to IBM® SPSS®: Statistical Analysis With Step-by-Step Examples
Autor Alan C. Elliott, Wayne A. Woodwarden Limba Engleză Paperback – 14 oct 2019
The new Third Edition covers IBM® SPSS® version 25, includes a new section on Syntax, and all chapters have been updated to reflect current menu options along with many SPSS screenshots, making the process much simpler for the user. In addition, helpful hints and insights are provided through the features "Tips and Caveats" and "Sidebars."
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Specificații
ISBN-13: 9781544360423
ISBN-10: 1544360428
Pagini: 392
Dimensiuni: 152 x 229 mm
Greutate: 0.48 kg
Ediția:Third Edition
Editura: SAGE Publications
Colecția Sage Publications, Inc
Locul publicării:Thousand Oaks, United States
ISBN-10: 1544360428
Pagini: 392
Dimensiuni: 152 x 229 mm
Greutate: 0.48 kg
Ediția:Third Edition
Editura: SAGE Publications
Colecția Sage Publications, Inc
Locul publicării:Thousand Oaks, United States
Recenzii
“Wonderful feedback from my graduate students using this textbook!”
“This book is an ideal resource and a guide for understanding basic concepts of statistics.”
“I really appreciate the detailed yet also practical approach. I also appreciate the comprehensive approach to the topics so that students are better grounded in how to think about their statistical analysis.”
“This book is an ideal resource and a guide for understanding basic concepts of statistics.”
“I really appreciate the detailed yet also practical approach. I also appreciate the comprehensive approach to the topics so that students are better grounded in how to think about their statistical analysis.”
Cuprins
Preface & Acknowledgments
About the Authors
Chapter 1 • Introduction
Getting the Most Out of Quick Guide to IBM SPSS
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
Downloading Sample SPSS Data Files
Opening Data Files for Examples
Summary
References
Chapter 2 • Describing and Examining Data
Example Data Files
Describing Quantitative Data
Describing Categorical Data
Summary
References
Chapter 3 • Creating and Using Graphs
Introduction to SPSS Graphs
Guidelines for Creating and Using Graphs
Chart Builder
Graphboard Template Chooser
Legacy Plots
Scatterplots
Histograms
Bar Charts
Pie Charts
Boxplots
Summary
References
Chapter 4 • Comparing One or Two Means Using the t-Test
One-Sample t-Test
Two-Sample t-Test
Paired t-Test
Summary
References
Chapter 5 • Correlation and Regression
Correlation Analysis
Simple Linear Regression
Multiple Linear Regression
Summary
References
Chapter 6 • Analysis of Categorical Data
Contingency Table Analysis (r × c)
Contingency Table Examples
McNemar’s Test
Mantel-Haenszel Meta-Analysis Comparison
Tests of Interrater Reliability
Goodness-of-Fit Test
Other Measures of Association for Categorical Data
Summary
References
Chapter 7 • Analysis of Variance and Covariance
One-Way ANOVA
Two-Way Analysis of Variance
Repeated-Measures Analysis of Variance
Analysis of Covariance
Summary
References
Chapter 8 • Nonparametric 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
Summary
Reference
Chapter 9 • Logistic Regression
Appropriate Applications for Logistic Regression
Simple Logistic Regression
Multiple Logistic Regression
Summary
References
Appendix A: A Brief Tutorial for Using IBM SPSS for Windows
Appendix B: Choosing the Right Procedure to Use
Index
About the Authors
Chapter 1 • Introduction
Getting the Most Out of Quick Guide to IBM SPSS
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
Downloading Sample SPSS Data Files
Opening Data Files for Examples
Summary
References
Chapter 2 • Describing and Examining Data
Example Data Files
Describing Quantitative Data
Describing Categorical Data
Summary
References
Chapter 3 • Creating and Using Graphs
Introduction to SPSS Graphs
Guidelines for Creating and Using Graphs
Chart Builder
Graphboard Template Chooser
Legacy Plots
Scatterplots
Histograms
Bar Charts
Pie Charts
Boxplots
Summary
References
Chapter 4 • Comparing One or Two Means Using the t-Test
One-Sample t-Test
Two-Sample t-Test
Paired t-Test
Summary
References
Chapter 5 • Correlation and Regression
Correlation Analysis
Simple Linear Regression
Multiple Linear Regression
Summary
References
Chapter 6 • Analysis of Categorical Data
Contingency Table Analysis (r × c)
Contingency Table Examples
McNemar’s Test
Mantel-Haenszel Meta-Analysis Comparison
Tests of Interrater Reliability
Goodness-of-Fit Test
Other Measures of Association for Categorical Data
Summary
References
Chapter 7 • Analysis of Variance and Covariance
One-Way ANOVA
Two-Way Analysis of Variance
Repeated-Measures Analysis of Variance
Analysis of Covariance
Summary
References
Chapter 8 • Nonparametric 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
Summary
Reference
Chapter 9 • Logistic Regression
Appropriate Applications for Logistic Regression
Simple Logistic Regression
Multiple Logistic Regression
Summary
References
Appendix A: A Brief Tutorial for Using IBM SPSS for Windows
Appendix B: Choosing the Right Procedure to Use
Index
Notă biografică
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.
Descriere
A practical, accessible guide for using software while doing data analysis in the social sciences, students can learn SPSS on their own, allowing instructors to focus on the concepts and calculations in their lectures, rather than SPSS tutorials.