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Full Description
For those who have a basic understanding of statistics and want to learn SPSS on their own, this concise, practical guide can be used in conjunction with another text or as a self-instructional resource. With the assistance of ample screenshots, bullet points, and callouts, readers master SPSS by inputting and analyzing their own data, rather than simply opening existing databases. The Second Edition introduces advanced concepts such as Logistic Regression, Principal Components Factor Analysis, and more complex graphing methods. This edition is compatible with IBM SPSS versions through 23.
Contents
PrefaceAcknowledgmentsAbout the AuthorsChapter 1. First Encounters1.1 Introduction and Objectives1.2 Entering, Analyzing, and Graphing Data1.3 Summary1.4 Review ExercisesChapter 2. Navigating in SPSS2.1 Introduction and Objectives2.2 SPSS Variable View Screen2.3 SPSS Data View Screen2.4 SPSS Main Menu2.5 Data Editor Toolbar2.6 Variable View Screen: A Closer Look2.7 Summary2.8 Review ExercisesChapter 3. Getting Data In and Out of SPSS3.1 Introduction and Objectives3.2 Typing Data Using the Computer Keyboard3.3 Saving Your SPSS Data Files3.4 Saving Your SPSS Output Files3.5 Opening Your Saved SPSS Files3.6 Opening SPSS Sample Files3.7 Copying and Pasting Data to Other Applications3.8 Importing Files From Other Applications3.9 Exporting SPSS Files to Other Applications3.10 Summary3.11 Review ExercisesChapter 4. Levels of Measurement4.1 Introduction and Objectives4.2 Variable View Screen: Measure Column4.3 Variables Measured at the Nominal Level4.4 Variables Measured at the Ordinal Level4.5 Variables Measured at the Scale Level4.6 Using SPSS to Suggest Variable Measurement Levels4.7 Summary4.8 Review ExercisesChapter 5. Entering Variables and Data and Validating Data5.1 Introduction and Objectives5.2 Entering Variables and Assigning Attributes (Properties)5.3 Entering Data for Each Variable5.4 Validating Data for Databases5.5 Summary5.6 Review ExercisesChapter 6. Working With Data and Variables6.1 Introduction and Objectives6.2 Computing a New Variable6.3 Recoding Scale Data Into a String Variable6.4 Data Transformation6.5 Split Cases for Independent Analysis6.6 Inserting New Variables and Cases Into Existing Databases6.7 Data View Page: Copy, Cut, and Paste Procedures6.8 Summary6.9 Review ExercisesChapter 7. Using the SPSS Help Menu7.1 Introduction and Objectives7.2 Help Options7.3 Using Help Topics7.4 Using the Help Tutorial7.5 Using Help Case Studies7.6 Getting Help When Using Analyze on the Main Menu7.7 Summary7.8 Review ExercisesChapter 8. Creating Graphs for Nominal and/or Ordinal Data8.1 Introduction and Objectives8.2 A Brief Introduction to the Chart Builder8.3 Using the Chart Builder to Build a Simple 3-D Graph8.4 Building a Population Pyramid8.5 Summary8.6 Review ExercisesChapter 9. Graphs for Continuous Data9.1 Introduction and Objectives9.2 Creating a Histogram9.3 Creating a Boxplot9.4 Creating a Panel Graph9.5 Summary9.6 Review ExercisesChapter 10. Printing Data View, Variable View, and Output Viewer Screens10.1 Introduction and Objectives10.2 Printing Data From the Variable View Screen10.3 Printing Variable Information From the Output Viewer10.4 Printing Tables From the Output Viewer10.5 Summary10.6 Review ExercisesChapter 11. Basic Descriptive Statistics11.1 Introduction and Objectives11.2 Measures of Central Tendency11.3 Measures of Dispersion11.4 The Big Question: Are the Data Normally Distributed?11.5 Descriptive Statistics for the Class Survey11.6 Summary11.7 Review ExercisesChapter 12. One-Sample t Test and a Binomial Test of Equality12.1 Introduction and Objectives12.2 Research Scenario and Test Selection12.3 Research Question and Null Hypothesis12.4 Data Input, Analysis, and Interpretation of Output12.5 Nonparametric Test: The Binomial Test of Equality12.6 Summary12.7 Review ExercisesChapter 13. Independent-Samples t Test and Mann-Whitney U Test13.1 Introduction and Objectives13.2 Research Scenario and Test Selection13.3 Research Question and Null Hypothesis13.4 Data Input, Analysis, and Interpretation of Output13.5 Nonparametric Test: Mann-Whitney U Test13.6 Summary13.7 Review ExercisesChapter 14. Paired-Samples t Test and Wilcoxon Test14.1 Introduction and Objectives14.2 Research Scenario and Test Selection14.3 Research Question and Null Hypothesis14.4 Data Input, Analysis, and Interpretation of Output14.5 Nonparametric Test: Wilcoxon Signed-Ranks Test14.6 Summary14.7 Review ExercisesChapter 15. One-Way ANOVA and Kruskal-Wallis Test15.1 Introduction and Objectives15.2 Research Scenario and Test Selection15.3 Research Question and Null Hypothesis15.4 Data Input, Analysis, and Interpretation of Output15.5 Nonparametric Test: Kruskal-Wallis Test15.6 Summary15.7 Review ExercisesChapter 16. Two-Way (Factorial) ANOVA16.1 Introduction and Objectives16.2 Research Scenario and Test Selection16.3 Research Question and Null Hypothesis16.4 Data Input, Analysis, and Interpretation of Output16.5 Summary16.6 Review ExercisesChapter 17. One-Way ANOVA Repeated Measures Test and Friedman Test17.1 Introduction and Objectives17.2 Research Scenario and Test Selection17.3 Research Question and Null Hypothesis17.4 Data Input, Analysis, and Interpretation of Output17.5 Nonparametric Test: Friedman Test17.6 Summary17.7 Review ExercisesChapter 18. Analysis of Covariance18.1 Introduction and Objectives18.2 Research Scenario and Test Selection18.3 Research Question and Null Hypothesis18.4 Data Input, Analysis, and Interpretation of Output18.5 Summary18.6 Review ExercisesChapter 19. Pearson's Correlation and Spearman's Correlation19.1 Introduction and Objectives19.2 Research Scenario and Test Selection19.3 Research Question and Null Hypothesis19.4 Data Input, Analysis, and Interpretation of Output19.5 Nonparametric Test: Spearman's Correlation Coefficient19.6 Summary19.7 Review ExercisesChapter 20. Single Linear Regression20.1 Introduction and Objectives20.2 Research Scenario and Test Selection20.3 Research Question and Null Hypothesis20.4 Data Input20.5 Data Assumptions (Normality)20.6 Regression and Prediction20.7 Interpretation of Output (Data Assumptions)20.8 Interpretation of Output (Regression and Prediction)20.9 Research Question Answered20.10 Summary20.11 Review ExercisesChapter 21. Multiple Linear Regression21.1 Introduction and Objectives21.2 Research Scenario and Test Selection21.3 Research Question and Null Hypothesis21.4 Data Input21.5 Data Assumptions (Normality)21.6 Regression and Prediction21.7 Interpretation of Output (Data Assumptions)21.8 Interpretation of Output (Regression and Prediction)21.9 Research Question Answered21.10 Summary21.11 Review ExercisesChapter 22. Logistic Regression22.1 Introduction and Objectives22.2 Research Scenario and Test Selection22.3 Research Question and Null Hypothesis22.4 Data Input, Analysis, and Interpretation of Output22.5 Summary22.6 Review ExercisesChapter 23. Factor Analysis23.1 Introduction and Objectives23.2 Research Scenario and Test Selection23.3 Research Question and Null Hypothesis23.4 Data Input, Analysis, and Interpretation of Output23.5 Summary23.6 Review ExercisesChapter 24. Chi-Square Goodness of Fit24.1 Introduction and Objectives24.2 Research Scenario and Test Selection: Legacy Dialogs24.3 Research Question and Null Hypothesis: Legacy Dialogs24.4 Data Input, Analysis, and Interpretation of Output: Legacy Dialogs24.5 Research Scenario and Test Selection: One Sample24.6 Research Question and Null Hypothesis: One Sample24.7 Data Input, Analysis, and Interpretation of Output: One Sample24.8 Summary24.9 Review ExercisesChapter 25. Chi-Square Test of Independence25.1 Introduction and Objectives25.2 Research Scenario and Test Selection: Summarized Data25.3 Research Question and Null Hypothesis: Summarized Data25.4 Data Input, Analysis, and Interpretation of Output: Summarized Data25.5 Research Scenario and Test Selection: Raw Data25.6 Research Question and Null Hypothesis: Raw Data25.7 Data Input, Analysis, and Interpretation of Output: Raw Data25.8 Summary25.9 Review ExercisesAppendix A. Class Survey Database (Entered in Chapter 5)Table A.1 Variables and Attributes for class_survey1.savTable A.2 Data for class_survey1.savAppendix B. Basic Inferential StatisticsB.1 IntroductionB.2 Populations and SamplesB.3 Sampling ProceduresB.4 Hypothesis TestingB.5 Parametric Statistical TestsB.6 Nonparametric Statistical TestsB.7 Data TransformationB.8 Type I and Type II ErrorsB.9 Tests of SignificanceB.10 Practical Significance Versus Statistical SignificanceB.11 One- and Two-Tailed TestsB.12 Degrees of FreedomAppendix C. Answers to Review ExercisesIndex
