Using IBM SPSS statistics : an interactive hands-on approach / [print]
James O. Aldrich, California State University, Northridge.
- Third edition.
- Thousand Oaks, California : SAGE Publications, (c)2019.
- xxiii, 480 pages ; 24 cm
Includes Index.
CHAPTER 1. First Encounters -- 1.1 Introduction and Objectives -- 1.2 Entering, Analyzing, and Graphing Data -- 1.3 Summary -- 1.4 Review Exercises CHAPTER 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 CHAPTER 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 Importing Files From Other Applications -- 3.9 Exporting SPSS Files to Other Applications -- 3.10 Summary -- 3.11 Review Exercises CHAPTER 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 CHAPTER 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 -- 5.4.1 Validation of Nominal and Ordinal Data -- 5.4.2 Validation of Scale Data -- 5.5 Summary -- 5.6 Review Exercises CHAPTER 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 Inserting New Variables and Cases Into Existing Datasets -- 6.7 Data View Page: Copy, Cut, and Paste Procedures -- 6.8 Summary -- 6.9 Review Exercises CHAPTER 7. Printing Data View, Variable View, and Output Viewer Screens -- 7.1 Introduction and Objectives -- 7.2 Printing Data From the Variable View Screen -- 7.2.1 Printing a Selected Portion of Your Data -- 7.3 Printing Variable Information From the Output Viewer -- 7.4 Printing Tables From the Output Viewer -- 7.5 Summary -- 7.6 Review Exercises CHAPTER 8. Using the SPSS Help Menu -- 8.1 Introduction and Objectives -- 8.2 Help Options -- 8.3 Using Help Topics -- 8.4 Using the Help Tutorial -- 8.5 Using Help Case Studies -- 8.6 Getting Help When Using Analyze on the Main Menu -- 8.7 Summary -- 8.8 Review Exercises -- Section II Descriptive Statistics and Graphing CHAPTER 9. Descriptive Statistics -- 9.1 Introduction and Objectives -- 9.2 Measures of Central Tendency -- 9.2.1 The Mode -- 9.2.2 The Median -- 9.2.3 The Mean -- 9.3 Measures of Dispersion -- 9.3.1 Range, Mean, Standard Deviation, and Variance -- 9.3.2 The Shape of the Distribution (Skewness) -- 9.3.3 The Shape of the Distribution (Kurtosis) -- 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 CHAPTER 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 Graph -- 10.4 Building a Population Pyramid -- 10.5 Building the Stacked Bar Graph (percentage of stacks total) -- 10.6 Summary -- 10.7 Review Exercises CHAPTER 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 Panel Graph -- 11.5 Summary -- 11.6 Review Exercises -- Section III Basic Inferential Statistics CHAPTER 12. Inferential Statistics -- 12.1 Introduction and Objectives -- 12.2 Population -- 12.3 Sampling -- 12.3.1 Simple Random Sample (SRS) -- 12.3.2 Cluster Samples -- 12.3.3 Stratified Samples -- 12.3.4 Non-Probability Sampling -- 12.4 Normal Curve -- 12.4.1 Standard Error -- 12.4.2 Confidence Intervals -- 12.5 Hypothesis Testing -- 12.5.1 Research Steps in Hypothesis Testing -- 12.5.2 Statistical Significance CHAPTER 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 -- 13.4.1 A Word About Confidence Intervals -- 13.5 Nonparametric Test: The Binomial Test of Equality -- 13.6 Summary -- 13.7 Review Exercises CHAPTER 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 -- 14.6 Nonparametric Test: Mann-Whitney U Test -- 14.7 Summary -- 14.8 Review Exercises CHAPTER 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 CHAPTER 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 CHAPTER 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 CHAPTER 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 CHAPTER 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 -- 19.4.1 Testing for Normality and Homogeneity of Regression Slopes -- 19.4.2 Main Analysis for ANCOVA -- 19.5 Summary -- 19.6 Review Exercises CHAPTER 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 CHAPTER 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 Multi-Variable Relationships CHAPTER 22. Pearsons and Spearmans Correlation Coefficients -- 22.1 Introduction and Objectives -- 22.1.1 Significance Test -- 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: Spearmans Correlation Coefficient -- 22.6 Summary -- 22.7 Review Exercises CHAPTER 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 Predictions) -- 23.9.1 Prediction -- 23.10 Research Questions Answered -- 23.11 Summary -- 23.12 Review Exercises CHAPTER 24. Multiple Linear Regression -- 24.1 Introduction and Objectives -- 24.2 Research Scenario and Test Selections -- 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 CHAPTER 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 CHAPTER 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 APPENDICES. 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.
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. --
1544318898 9781544318899
2018015322
SPSS (Computer file) SPSS for Windows.
Social sciences--Statistical methods--Computer programs.