Are you confused by SPSS? Do you understand the concepts of statistics, but struggle with the computer analysis? Are you tired of figuring out in hours what should only take you minutes? Or are you just looking for a straightforward, comprehensive reference for SPSS? SPSS for Windows Step by Step: A Simple Guide and Reference 13.0 Update efficiently shows you how to perform the most common data analysis procedures in SPSS. It is brief but comprehensive. The first part of the book explains the basics of creating and formatting a data set, and includes a chapter on graphs that accommodate the changes in SPSS 13.0. Chapters 6-28 explain, step-by-step, the most common procedures in the Base System Module and the Advanced and Regression Modules. Each chapter is arranged in three parts: *"Introduction" explains the following procedure at the general, conceptual level, avoiding excessive detail and excessive emphasis on computation. *"Step by Step" boxes and screen shots break down each procedure with clear references to tasks covered in previous chapters. *"Outcome" explains the output of what you have just performed and defines critical terms.All data sets used in this book are available for download on the companion website: http://www.
ablongman.com/george6e, saving you the time of entering data.
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