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SPSS for Windows Step by Step : A Simple Guide and Reference, 11.0 Update
ISBN: 9780205375523 | 0205375529
Edition: 4thFormat: Paperback
Publisher: Allyn & Bacon
Pub. Date: 1/1/2003
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This book is designed to simplify the process of data analysis using SPSS. The clarity of this book is established by the use of more than 200 screen shots, clear writing, and more than 500 step-by-step boxes that show how to accomplish any procedure in SPSS one step at a time. Students, even novices, can independently learn from this comprehensive and straightforward treatment.
SPSS for Windows Step by Step provided students with a comprehensive and straightforward guide and reference for using SPSS data analysis.... MORE
SPSS for Windows Step by Step provided students with a comprehensive and straightforward guide and reference for using SPSS data analysis.... MORE
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.
3. Creating and Editing a Data File.
4. Managing Data: Listing Cases, Replacing Missing Values, Computing New Variables, Recoding Variables, Selecting Cases, Sorting Cases, Merging Files.
5. Graphs: Creating and Editing Graphs and Charts.
6. Frequencies: Frequencies, Bar Charts, Histograms, Percentiles. ... MORE
7. Descriptive Statistics: Measures of Central Tendency, Variability, Deviation from Normality, Size, and Stability.
8. Crosstabulation and Chi-Square (x 2) Analysis.
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. 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
23. General Linear Models: Manova and Manova: Multivariate Analysis of Variance and Covariance.
24. General Linear Models: Repeated-Measures MANCOVA 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.
Glossary.
References.
Index.
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