SPSS for Windows step by step : a simple guide and reference, 11.0 update / Darren George, Paul Mallery.
Material type:
TextPublication details: Boston : Allyn and Bacon, �2003.Edition: 4th edDescription: iv, 386 pages : illustrations ; 28 cmISBN: - 0205375529
- 9780205375523
- 005.369 S77 G34
- HA32 .G457 2002
- Also issued online.
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
Books
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UCC Main Library | Open | HA32.G29 (Browse shelf(Opens below)) | Available | 30261101675405 |
Includes bibliographical references (pages 379-380) and index.
1. An Overview of SPSS for Windows Step by Step 1 -- 2. SPSS Windows Processes: Mouse and keyboard processing, frequently-used dialog boxes, editing output, printing results, the Options Option 9 -- 3. Creating and Editing a Data File 27 -- 4. Managing Data: Listing cases, replacing missing values, computing new variables, recoding variables, exploring data, selecting cases, sorting cases, merging files 43 -- 5. Graphs: Creating and editing graphs and charts 67 -- Base System Module -- 6. Frequencies: Frequencies, bar charts, histograms, percentiles 83 -- 7. Descriptive Statistics: Measures of central tendency, variability, deviation from normality, size, and stability 95 -- 8. Crosstabulation and Chi-Square (x[superscript 2]) Analyses 105 -- 9. The Means Procedure 115 -- 10. Bivariate Correlation: Bivariate correlations, partial correlations, and the correlation matrix 123 -- 11. The T Test Procedure: Independent-samples, paired-samples, and one-sample tests 133 -- 12. The One-Way Anova Procedure: One-way Analysis of Variance 143 -- 13. General Linear Models: Two-Way Analysis of Variance 153 -- 14. General Linear Models: Three-Way Analysis of Variance and the influence of covariates 161 -- 15. Simple Linear Regression 177 -- 16. Multiple Regression Analysis 191 -- 17. Nonparametric Procedures 207 -- 18. Reliability Analysis: Coefficient alpha ([alpha]) and split-half reliability 221 -- 19. Multidimensional Scaling 233 -- 20. Factor Analysis 245 -- 21. Cluster Analysis 261 -- 22. Discriminant Analysis 277 -- Advanced and Regression Modules -- 23. General Linear Models: Manova and Mancova: Multivariate Analysis of Variance and Covariance 293 -- 24. General Linear Models: Repeated-Measures Manova: Multivariate Analysis of Variance with repeated measures and within-subjects factors 309 -- 25. Logistic Regression 321 -- 26. Hierarchical Loglinear Models 333 -- 27. General Loglinear Models 347 -- 28. Residuals: Analyzing left-over variance 357 -- Data Disk 365.
Also issued online.
Text in English.
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