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SPSS for Windows step by step : a simple guide and reference, 15.0 update

Author: Darren George; Paul Mallery
Publisher: Boston : Pearson/A and B, ©2008.
Edition/Format:   Print book : English : 8th edView all editions and formats
Summary:

'SPSS for Windows Step-by-Step' makes data analysis and SPSS procedures clear and accessible. Hundreds of screen shots guide the student through the program. Exercises at the end of each chapter and  Read more...

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Document Type: Book
All Authors / Contributors: Darren George; Paul Mallery
ISBN: 9780205569076 0205569072
OCLC Number: 144223953
Description: viii, 416 pages : illustrations ; 28 cm
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 --
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 ([chi]ø) 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 (\03B1) and split-half reliability --
19. Multidimensional scaling --
20. Factor analysis --
21. Cluster analysis --
22. Discriminant analysis --
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.
Responsibility: Darren George, Paul Mallery.

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