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Chapter 1: Choosing a Statistical Test. Introduction. Choosing a Statistical Test: Some Guidelines. Significance of Differences. Analysis of Variance Experiments. Measuring Strength of Association between Variables. Predicting Scores or Category Membership. One-sample Tests. Finding Latent Variables: Factor Analysis. A Final Comment. Chapter 2: Getting Started with SPSS 12. Outline of an SPSS Session. Opening SPSS. The SPSS Data Editor. A Statistical Analysis. Closing SPSS. Resuming Work on a Saved Data Set. Chapter 3: Editing and Manipulating Files. More about the SPSS Data Editor. More on the SPSS Viewer. Selecting from and Manipulating Data Files. Importing and Exporting Data. Printing from SPSS. Chapter 4: Exploring Your Data. Introduction. Some Useful Menus. Describing Data. Manipulation of the Data Set. Chapter 5: Graphs and Charts. Introduction. Bar Charts. Error Bar Charts. Pie Charts. Line Graphs. Scatterplots. Chapter 6: Comparing Averages: Two-sample and One-sample Tests. Introduction. Parametric Methods: The T Tests. Effect Size, Power and the Number of Participants. Nonparametric Equivalents of the T Tests. One-sample Tests. Chapter 7: The One-factor between Subjects Experiment. Introduction. The One-way Anova. Nonparametric Tests. Chapter 8: Between Subjects Factorial Experiments. Introduction. Factorial Anova. Effect Size and Power in Factorial Anova. Experiments with More than Two Treatment Factors. Chapter 9: Within Subject Experiments. Introduction. A One-factor within Subjects Anova. Nonparametric Tests for a One-factor within Subjects Experiment. The Two-factor within Subjects Anova. Chapter 10: Mixed Factorial Experiments. Introduction. The Two-factor Mixed Factorial Anova. The Three-factor Mixed Anova. Further Analysis: Simple Effects and Multiple Comparisons. Chapter 11: Measuring Statistical Association. Introduction. Correlational Analysis with SPSS. Other Measures of Association. Chapter 12: Regression. Introduction. Simple Regression. Multiple Regression. Scatterplots and Regression Lines. Chapter 13: Multiway Frequency Analysis. Introduction. Two Examples of a Loglinear Analysis. Chapter 14: Discriminant Analysis and Logistic Regression. Introduction. Discriminant Analysis with SPSS. Binary Logistic Regression. Multinomial Logistic Regression. Some General Points. Chapter 15: Exploratory Factor Analysis. Introduction. A Factor Analysis of Data on Six Variables. Using SPSS Control Language. Revision Exercises.