SPSS 14 Made Simple

Preface. Chapter 1. Introduction. 1.1 Measurements and Data. 1.2 Experimental Versus Correlational Research. 1.3 Some Statistical Terms and Concepts. 1.4 Choosing a Statistical Test: Some Guidelines. 1.5 One-Sample Tests. 1.6 Finding Latent Variables: Factor Analysis and Canonical Correlation. 1.7 A Final Comment. Chapter 2. Getting Started with SPSS 14. 2.1 Outline of an SPSS Session. 2.2 Opening SPSS. 2.3 The SPSS Data Editor. 2.4 A Statistical Analysis. 2.5 Closing SPSS. 2.6 Resuming Work on a Saved Data Set. Chapter 3. Editing and Manipulating Files. 3.1 More about the SPSS Data Editor. 3.2 More on the SPSS Viewer. 3.3 Selecting from and Manipulating Data Files. 3.4 Importing and Exporting Data. 3.5 Printing from SPSS. Chapter 4. Exploring Your Data. 4.1 Introduction. 4.2 Some Useful Menus. 4.3 Describing Data. 4.4 Manipulation of the Data Set. Chapter 5. Graphs and Charts. 5.1 Introduction. 5.2 Bar Charts. 5.3 Error Bar Charts. 5.4 Pie Charts. 5.5 Line Graphs. 5.6 Scatterplots and Dot Plots. 5.7 Using Chart Builder and Interactive. 5.8 Receiver-Operating-Characteristic (ROC) Curve. Chapter 6. Comparing Averages: Two-Sample and One-Sample Tests. 6.1 Overview. 6.2 The T Tests. 6.3 Effect Size, Power and the Number of Participants. 6.4 Other Tests For Comparing Averages. 6.5 One-Sample Tests. Chapter 7. Introduction to ANOVA: The One-Factor between Subjects Experiment. 7.1 Introduction. 7.2 How the One-Way ANOVA Works. 7.3 Further Analysis. 7.4 The One-Way ANOVA with SPSS. 7.5 Alternatives to the One-Way ANOVA. Chapter 8. Between Subjects Factorial Experiments. 8.1 Introduction. 8.2 Factorial Analysis of Variance. 8.3 Further Analysis. 8.4 The Two-Way ANOVA with SPSS. 8.5 More Complex Experiments. 8.6 A Final Word. Chapter 9. Within Subjects Experiments. 9.1 Introduction. 9.2 A One-Factor within Subjects ANOVA. 9.3 Nonparametric Tests for a One-Factor within Subjects Experiment. 9.4 The Two-Factor within Subjects ANOVA. 9.5 A Final Word. Chapter 10. Mixed Factorial Experiments. 10.1 Introduction. 10.2 The Two-Factor Mixed Factorial ANOVA. 10.3 The Three-Factor Mixed ANOVA. 10.4 Further Analysis: Simple Effects and Multiple Comparisons. 10.5 Multivariate Analysis of Variance (MANOVA). Chapter 11. Measuring Statistical Association. 11.1 Introduction. 11.2 The Pearson Correlation. 11.3 Correlation with SPSS. 11.4 Other Measures of Association. 11.5 Association in Nominal Data. 11.6 Do Doctors Agree? Cohen's Kappa. 11.7 Partial Correlation. 11.8 A Final Word. Chapter 12. Regression. 12.1 Introduction. 12.2 Simple Regression with SPSS. 12.3 Multiple Regression with SPSS. 12.4 Scatterplots and Regression Lines. 12.5 A Final Word. Chapter 13. Multiway Frequency Analysis. 13.1 Introduction. 13.2 Two Examples of a Loglinear Analysis. 13.3 A Final Word. Chapter 14. Discriminant Analysis and Logistic Regression. 14.1 Introduction. 14.2 Discriminant Analysis with SPSS. 14.3 Binary Logistic Regression. 14.4 Multinomial Logistic Regression. 14.5 A Final Word. Chapter 15. Latent Variables: Exploratory Factor Analysis and Canonical Correlation. 15.1 Introduction to Exploratory Factor Analysis. 15.2 A Factor Analysis of Data on Six Variables. 15.3 Using SPSS Syntax. 15.4 Canonical Correlation. 15.5 A Final Word. Revision Exercises. Glossary. References. Index.