ISBN-10:
0205661335
ISBN-13:
9780205661336
Pub. Date:
07/30/2008
Publisher:
Allyn & Bacon, Inc.
SPSS for Windows Step by Step: A Simple Guide and Reference 16. 0 / Edition 9

SPSS for Windows Step by Step: A Simple Guide and Reference 16. 0 / Edition 9

by Darren George, Paul Mallery

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Product Details

ISBN-13: 9780205661336
Publisher: Allyn & Bacon, Inc.
Publication date: 07/30/2008
Series: MySearchLab Series 15% off Series
Edition description: Older Edition
Pages: 408
Product dimensions: 8.50(w) x 10.80(h) x 0.90(d)

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

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