SPSS for Windows Step by Step: A Simple Guide and Reference, 15.0 Update makes data analysis and SPSS procedures clear and accessible by presenting straightforward "step by step" instructions in each analysis chapter to clarify procedures. Exercises at the end of each chapter and selected answers on the website give students an opportunity to practice using SPSS. Updated to reflect SPSS Version 15.0

Table of Contents

1. An Overview of SPSS for Windows Step-by-Step 2. SPSS Windows Processes: Mouse and keyboard processing, frequently-used dialog boxes, editing output, printing results, the Options Option 3. Creating and Editing a Data File 4. Managing Data: Listing cases, replacing missing values, computing new variables, recoding variables, exploring data, selecting cases, sorting cases, merging files 5. GRAPHS: Creating and editing graphs and charts BASE SYSTEM MODULE 6. FREQUENCIES: Frequencies, bar charts, histograms, percentiles 7. DESCRIPTIVE Statistics: Measures of central tendency, variability, deviation from normality, size, and stability 8. CROSSTABULATION and Chi-Square (2) Analyses 9. The MEANS Procedure 10. Bivariate CORRELATION: Bivariate correlations, partial correlations, and the correlation matrix 11. The T TEST Procedure: Independent-samples, paired-samples, and one-sample tests 12. The One-Way ANOVA Procedure: One-way Analysis of Variance 13. General Linear Models: Two-Way Analysis of Variance 14. General Linear Models: Three-Way Analysis of Variance and the influence of covariates 15. Simple Linear REGRESSION 16. MULTIPLE REGRESSION ANALYSIS 17. NONPARAMETRIC Procedures 18. RELIABILITY ANALYSIS: Coefficient alpha () and split-half reliability 19. MULTIDIMENSIONAL SCALING 20. FACTOR analysis 21. CLUSTER ANALYSIS 22. DISCRIMINANT ANALYSIS ADVANCED and REGRESSION MODULES 23. General Linear Models: MANOVA and MANCOVA: Multivariate Analysis of Variance and Covariance 24. General Linear Models: Repeated-Measures MANOVA: Multivariate Analysis of Variance with repeated measures and within-subjects factors 25. LOGISTIC REGRESSION 26. Hierarchical LOGLINEAR MODELS 27. General LOGLINEAR MODELS 28. RESIDUALS: Analyzing left-over variance Data Files Glossary References Index