# SPSS for Windows: Step by Step: A Simple Guide and Reference, CourseSmart eTextbook, 12th Edition

Published Date: Nov 22, 2011

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## Description

IBM SPSS Statistics Step by Step 12e makes data analysis and SPSS procedures clear and accessible.

Presents straightforward step-by-step instructions in each analysis chapter to clarify procedures. Hundreds of screen shots and step-by-step boxes guide the student through the program. All of the datasets used in the book are available for download online at www.pearsonhighered.com/IRC.  Exercises at the end of each chapter give students an opportunity to practice using SPSS. Updated to reflect SPSS Version 19.0.

1. An overview of IBM SPSS Statistics 19 Step by Step

2. IBM SPSS Statistics Processes for PC and Mac: 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 anad editing graphs and charts

IBM SPSS STATISTICS BASE 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 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

IBM SPSS REGRESSION AND ADVANCED STATISTICS 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

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\$35.99 | ISBN-13: 978-0-205-25678-5