IBM SPSS Statistics 19 Step by Step: A Simple Guide and Reference is a comprehensive guide to using SPSS that takes students step-by-step through all SPSS procedures. Makes data analysis and SPSS procedures clear and accessible by presenting 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.
| ISBN | 0205255884 | | Pages | 416 | | ISBN13 | 9780205255887
(What's this?) | | Weight (grammes) | 788 | | Publisher | Pearson Education (US) | | Published in | Upper Saddle River | | Imprint | Pearson | | Previous ISBN | 9780205011247 | | Format | Paperback | | Height (mm) | 276 | | Publication date | 07 Sep 2011 | | Width (mm) | 216 | | DEWEY | 005.55 | | Spine width (mm) | 23 | | DEWEY edition | DC22 | | Academic level | Professional / Scholarly, Postgraduate, Undergraduate |
|
|
|
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
Enlarge
