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.
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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
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
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