Section I - SPSS Commands and Assignment of Levels of MeasurementChapter 1. First Encounters 1.1 Introduction and Objectives 1.2 Entering, Analyzing, and Graphing Data 1.3 Summary 1.4 Review ExercisesChapter 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 ExercisesChapter 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 ExercisesChapter 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 ExercisesChapter 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 ExercisesChapter 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 ExercisesChapter 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 ExercisesChapter 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 ExercisesSection II - Descriptive Statistics and GraphingChapter 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 ExercisesChapter 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 stack''s total) 10.6 Summary 10.7 Review ExercisesChapter 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 ExercisesSection III - Basic Inferential StatisticsChapter 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 SignificanceChapter 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 ExercisesChapter 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 ExercisesChapter 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 ExercisesChapter 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 ExercisesChapter 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 ExercisesChapter 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 ExercisesChapter 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 ExercisesChapter 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 ExercisesChapter 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 ExercisesSection IV - Relational Statistics - Prediction, Describing and Exploring Multi-Variable RelationshipsChapter 22. Pearson''s and Spearman''s 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 22.4.1 Check for a Linear Relationship Between the Variables 22.4.2 Check Both Variables for Normality 22.4.
3 Calculation of Pearson''s Correlation Coefficient and Test of Significance 22.5 Nonparametric Test: Spearman''s Correlation Coefficient 22.6 Summary 22.7 Review ExercisesChapter 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) 23.9.1 Prediction 23.
10 Research Question Answered 23.11 Summary 23.12 Review ExercisesChapter 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) 24.8.1 Prediction 24.9 Research Question Answered 24.10 Summary 24.
11 Review ExercisesChapter 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 ExercisesChapter 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 ExercisesAppendix A. Class Survey Dataset (Entered in Chapter 5) Table A.
1 Variables and Attributes for class_survey_1_expl.sav Table A.2 Data for class_survey_1_expl.savAppendix B. Normal Curve InterpretationAppendix C. Answers to Review ExercisesAppendix D. Datasets Listed by ChapterIndex.