图书简介
Now with a new companion website! Using IBM® SPSS® Statistics: An Interactive Hands-On Approach, Third Edition gives readers an accessible and comprehensive guide to walking through SPSS®, providing them with step-by-step knowledge for effectively analyzing their data. From entering data to working with existing databases, and working with the help menu through performing factor analysis, Using IBM® SPSS® Statistics covers every aspect of SPSS® from introductory through intermediate statistics. The book is divided into parts that focus on mastering SPSS® basics, dealing with univariate statistics and graphing, inferential statistics, relational statistics, and more. Written using IBM® SPSS® version 25 and 24, and compatible with the earlier releases, this book is one of the most comprehensive SPSS® guides available.
Preface \\ Acknowledgments \\ About the Author \\ SECTION I. SPSS COMMANDS AND ASSIGNMENT OF LEVELS OF MEASUREMENT \\ 1. First Encounters \\ 1.1 Introduction and Objectives \\ 1.2 Entering, Analyzing, and Graphing Data \\ 1.3 Summary \\ 1.4 Review Exercises \\ 2. Navigating in SPSS \\ 2.1 Introduction and Objectives \\ 2.2 SPSS Variable View Screen \\ 2.3 SPSS Data View Screen \\ 2.4 SPSS Main Menu \\ 2.5 Data Editor Toolbar \\ 2.6 Variable View Screen: A Closer Look \\ 2.7 Summary \\ 2.8 Review Exercises \\ 3. Getting Data In and Out of SPSS \\ 3.1 Introduction and Objectives \\ 3.2 Typing Data Using the Computer Keyboard \\ 3.3 Saving Your SPSS Data Files \\ 3.4 Saving Your SPSS Output Files \\ 3.5 Opening Your Saved SPSS Files \\ 3.6 Opening SPSS Sample Files \\ 3.7 Copying and Pasting Data to Other Applications \\ 3.8 Exporting SPSS Files to Other Applications \\ 3.9 Importing Files From Other Applications \\ 3.10 Summary \\ 3.11 Review Exercises \\ 4. Levels of Measurement \\ 4.1 Introduction and Objectives \\ 4.2 Variable View Screen: Measure Column \\ 4.3 Variables Measured at the Nominal Level \\ 4.4 Variables Measured at the Ordinal Level \\ 4.5 Variables Measured at the Scale Level \\ 4.6 Using SPSS to Suggest Variable Measurement Levels \\ 4.7 Summary \\ 4.8 Review Exercises \\ 5. Entering Variables and Data and Validating Data \\ 5.1 Introduction and Objectives \\ 5.2 Entering Variables and Assigning Attributes (Properties) \\ 5.3 Entering Data for Each Variable \\ 5.4 Validating Data for Datasets \\ 5.5 Summary \\ 5.6 Review Exercises \\ 6. Working With Data and Variables \\ 6.1 Introduction and Objectives \\ 6.2 Computing a New Variable \\ 6.3 Recoding Scale Data Into a String Variable \\ 6.4 Data Transformation \\ 6.5 Split Cases for Independent Analysis \\ 6.6 Obtaining a Simple Random Sample (SRS) \\ 6.7 Inserting New Variables and Cases Into Existing Datasets \\ 6.8 Data View Page: Copy, Cut, and Paste Procedures \\ 6.9 Summary \\ 6.10 Review Exercises \\ 7. Printing Data View, Variable View, and Output Viewer Screens \\ 7.1 Introduction and Objectives \\ 7.2 Printing Data From the Variable View Screen \\ 7.3 Printing Variable Information From the Output Viewer \\ 7.4 Printing Tables From the Output Viewer \\ 7.5 Summary \\ 7.6 Review Exercises \\ 8. Using the SPSS Help Menu \\ 8.1 Introduction and Objectives \\ 8.2 Help Options \\ 8.3 Using SPSS Tutorials \\ 8.4 Using SPSS Case Studies \\ 8.5 Using Context Sensitive \\ 8.6 Summary \\ 8.7 Review Exercises \\ SECTION II. DESCRIPTIVE STATISTICS AND GRAPHING \\ 9. Descriptive Statistics \\ 9.1 Introduction and Objectives \\ 9.2 Measures of Central Tendency \\ 9.3 Measures of Dispersion \\ 9.4 The Big Question: Are the Data Normally Distributed? \\ 9.5 Descriptive Statistics for the Class Survey \\ 9.6 Summary \\ 9.7 Review Exercises \\ 10. Creating Graphs for Nominal and/or Ordinal Data \\ 10.1 Introduction and Objectives \\ 10.2 A Brief Introduction to the Chart Builder \\ 10.3 Using the Chart Builder to Build a Simple 3-D Pie Graph \\ 10.4 Building a Population Pyramid \\ 10.5 Building the Stacked Bar Graph (percentage of stack’s total) \\ 10.6 Summary \\ 10.7 Review Exercises \\ 11. Creating Graphs for Continuous Data \\ 11.1 Introduction and Objectives \\ 11.2 Creating a Histogram \\ 11.3 Creating a Boxplot \\ 11.4 Creating a Paneled Graph \\ 11.5 Summary \\ 11.6 Review Exercises \\ SECTION III. BASIC INFERENTIAL STATISTICS \\ 12. Inferential Statistics \\ 12.1 Introduction and Objectives \\ 12.2 Populations \\ 12.3 Sampling \\ 12.4 Normal Curve \\ 12.5 Standard Error \\ 12.6 Confidence Intervals \\ 12.7 Hypothesis Testing \\ 12.8 Statistical Significance \\ 12.9 Type I (Alpha) and Type II (Beta) Errors \\ 12.10 Research Steps in Hypothesis Testing \\ 12.11 Parametric Versus Nonparametric Tests \\ 12.12 Practical Versus Statistical Significance \\ 12.13 Summary \\ 12.14 Review Exercises \\ 13. One-Sample t Test and a Binomial Test of Equality \\ 13.1 Introduction and Objectives \\ 13.2 Research Scenario and Test Selection \\ 13.3 Research Question and Null Hypothesis \\ 13.4 Data Input, Analysis, and Interpretation of Output \\ 13.5 Confidence Intervals \\ 13.6 Nonparametric Test: The Binomial Test of Equality \\ 13.7 Summary \\ 13.8 Review Exercises \\ 14. Independent-Samples t Test and the Mann–Whitney U Test \\ 14.1 Introduction and Objectives \\ 14.2 Research Scenario and Test Selection \\ 14.3 Research Question and Null Hypothesis \\ 14.4 Data Input, Analysis, and Interpretation of Output \\ 14.5 Nonparametric Test: Mann–Whitney U Test \\ 14.6 Summary \\ 14.7 Review Exercises \\ 15. Paired-Samples t Test and the Wilcoxon Test \\ 15.1 Introduction and Objectives \\ 15.2 Research Scenario and Test Selection \\ 15.3 Research Question and Null Hypothesis \\ 15.4 Data Input, Analysis, and Interpretation of Output \\ 15.5 Nonparametric Test: Wilcoxon Signed-Ranks Test \\ 15.6 Summary \\ 15.7 Review Exercises \\ 16. One-Way ANOVA and Kruskal–Wallis Test \\ 16.1 Introduction and Objectives \\ 16.2 Research Scenario and Test Selection \\ 16.3 Research Question and Null Hypothesis \\ 16.4 Data Input, Analysis, and Interpretation of Output \\ 16.5 Nonparametric Test: Kruskal–Wallis Test \\ 16.6 Summary \\ 16.7 Review Exercises \\ 17. One-Way ANOVA Repeated Measures Test and Friedman Test \\ 17.1 Introduction and Objectives \\ 17.2 Research Scenario and Test Selection \\ 17.3 Research Question and Null Hypothesis \\ 17.4 Data Input, Analysis, and Interpretation of Output \\ 17.5 Nonparametric Test: Friedman Test \\ 17.6 Summary \\ 17.7 Review Exercises \\ 18. Two-Way ANOVA (Factorial) \\ 18.1 Introduction and Objectives \\ 18.2 Research Scenario and Test Selection \\ 18.3 Research Question and Null Hypothesis \\ 18.4 Data Input, Analysis, and Interpretation of Output \\ 18.5 Summary \\ 18.6 Review Exercises \\ 19. Analysis of Covariance (ANCOVA) \\ 19.1 Introduction and Objectives \\ 19.2 Research Scenario and Test Selection \\ 19.3 Research Question and Null Hypothesis \\ 19.4 Data Input, Analysis, and Interpretation of Output \\ 19.5 Summary \\ 19.6 Review Exercises \\ 20. Chi-Square Goodness of Fit \\ 20.1 Introduction and Objectives \\ 20.2 Research Scenario and Test Selection: Legacy Dialogs \\ 20.3 Research Question and Null Hypothesis: Legacy Dialogs \\ 20.4 Data Input, Analysis, and Interpretation of Output: Legacy Dialogs \\ 20.5 Research Scenario and Test Selection: One Sample \\ 20.6 Research Question and Null Hypothesis: One Sample \\ 20.7 Data Input, Analysis, and Interpretation of Output: One Sample \\ 20.8 Summary \\ 20.9 Review Exercises \\ 21. Chi-Square Test of Independence \\ 21.1 Introduction and Objectives \\ 21.2 Research Scenario and Test Selection: Summarized Data \\ 21.3 Research Question and Null Hypothesis: Summarized Data \\ 21.4 Data Input, Analysis, and Interpretation of Output: Summarized Data \\ 21.5 Research Scenario and Test Selection: Raw Data \\ 21.6 Research Question and Null Hypothesis: Raw Data \\ 21.7 Data Input, Analysis, and Interpretation of Output: Raw Data \\ 21.8 Summary \\ 21.9 Review Exercises \\ SECTION IV. RELATIONAL STATISTICS – PREDICTION, DESCRIBING, AND EXPLORING MULTIVARIABLE RELATIONSHIPS \\ 22. Pearson’s and Spearman’s Correlation Coefficients \\ 22.1 Introduction and Objectives \\ 22.2 Research Scenario and Test Selection \\ 22.3 Research Question and Null Hypothesis \\ 22.4 Data Input, Analysis, and Interpretation of Output \\ 22.5 Nonparametric Test: Spearman’s Correlation Coefficient \\ 22.6 Summary \\ 22.7 Review Exercises \\ 23. Simple Linear Regression \\ 23.1 Introduction and Objectives \\ 23.2 Research Scenario and Test Selection \\ 23.3 Research Question and Null Hypothesis \\ 23.4 Data Input \\ 23.5 Data Assumptions (Normality) \\ 23.6 Data Assumptions (Linear Relationship) \\ 23.7 Regression and Prediction \\ 23.8 Interpretation of Output (Data Assumptions) \\ 23.9 Interpretation of Output (Regression and Prediction) \\ 23.10 Research Question Answered \\ 23.11 Summary \\ 23.12 Review Exercises \\ 24. Multiple Linear Regression \\ 24.1 Introduction and Objectives \\ 24.2 Research Scenario and Test Selection \\ 24.3 Research Question and Null Hypothesis \\ 24.4 Data Input \\ 24.5 Data Assumptions (Normality) \\ 24.6 Regression and Prediction \\ 24.7 Interpretation of Output (Data Assumptions) \\ 24.8 Interpretation of Output (Regression and Prediction) \\ 24.9 Research Question Answered \\ 24.10 Summary \\ 24.11 Review Exercises \\ 25. Logistic Regression \\ 25.1 Introduction and Objectives \\ 25.2 Research Scenario and Test Selection \\ 25.3 Research Question and Null Hypothesis \\ 25.4 Data Input, Analysis, and Interpretation of Output \\ 25.5 Summary \\ 25.6 Review Exercises \\ 26. Factor Analysis \\ 26.1 Introduction and Objectives \\ 26.2 Research Scenario and Test Selection \\ 26.3 Research Question and Null Hypothesis \\ 26.4 Data Input, Analysis, and Interpretation of Output \\ 26.5 Summary \\ 26.6 Review Exercises \\ Appendix A. Class Survey Dataset (Entered in Chapter 5) \\ Appendix B. Normal Curve Interpretation \\ Appendix C. Answers to Review Exercises 1, 2, and 3 \\ Appendix D. Datasets Listed by Chapter \\ Index
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