Using SPSS for Windows and Macintosh
Analysing and Understanding Data
Samuel B. Green, Neil J. Salkind
458 pages, parution le 17/01/2003
(3eme édition)
Résumé
For courses in Introductory Statistics and Research Methods in the department of Psychology. This text for statistics and research method courses is designed to help students learn the basics of SPSS and how to use SPSS to analyze their data, interpret their results, and describe their findings following APA guidelines. It supplies extensive data sets and models to conduct analyses and interpret findings.
- NEW-Now appropriate for both Windows and Macintosh users.
- Gives students more options for use with this new hybrid format.
- NEW-Updated, based on SPSS Version 11.
- Provides students with the most current software version.
- NEW-More accessible.
- Revised to make material easier to understand.
- NEW-Newest SPSS interface-Uses Data View and Variable View windows for entering and summarizing data.
- Enables students to utilize the latest in software innovation.
- NEW-Revised extensively to address changes in the APA Style Manual.
- Gives students the most up-to-date information available.
- Comprehensive treatment of all relevant topics.
- Enables students to easily grasp concepts. Saves instructors valuable class time.
- 17 lessons in 4 units in Part I-Step-by-step descriptions of the most basic SPSS techniques.
- Facilitates students' grasp of SPSS.
- 27 lessons in 6 units in Part II-Step-by-step procedures for statistical techniques.
- Familiarizes students with substantive information for each technique, enabling them to apply statistics to complete their analyses.
- Student Data Disc-Includes all files needed to work through each lesson.
- Enables students to save time by minimizing typing for completing exercises.
- Extensive pedagogy-"After This Lesson You Will Know" sections; bolded Key Words; examples; and tips.
- Helps students grasp SPSS by learning the objectives of each lesson, by practice, and by teaching shortcuts that make SPSS easier to use.
Contents
I. Introducing SPSS.Unit 1. Getting Started with SPSS.
- Lesson 1. Starting SPSS.
- Lesson 2. The SPSS Main Menus and Toolbar.
- Lesson 3. Using SPSS Help.
- Lesson 4. A Brief SPSS Tour.
- Lesson 5. Defining Variables.
- Lesson 6. Entering and Editing Data.
- Lesson 7. Inserting and Deleting Cases and Variables.
- Lesson 8. Selecting, Copying, Cutting, and Pasting Data.
- Lesson 9. Printing and Exiting an SPSS File.
- Lesson 10. Exporting and Importing SPSS Data.
- Lesson 11. Finding Values, Variables, and Cases.
- Lesson 12. Recoding Data and Computing Variables.
- Lesson 13. Sorting, Transposing, and Ranking Data.
- Lesson 14. Splitting and Merging Files.
- Lesson 15. Creating an SPSS Chart.
- Lesson 16. Enhancing SPSS Charts.
- Lesson 17. Using the Viewer.
Unit 5. Creating Variables and Computing Descriptive Statistics.
- Lesson 18. Creating Variables.
- Lesson 19. Univariate Descriptive Statistics for Qualitative Variables.
- Lesson 20. Univariate Descriptive Statistics for Quantitative Variables.
- Lesson 21. One Sample T Test.
- Lesson 22. Paired-Samples T Test.
- Lesson 23. Independent-Samples T Test.
- Lesson 24. One-Way Analysis of Variance.
- Lesson 25. Two-Way Analysis of Variance with Comments about Higher-Way Analysis of Variance.
- Lesson 26. One-Way Analysis of Co-Variance.
- Lesson 27. One-Way Multivariate Analysis of Variance.
- Lesson 28. One-Way Repeated-Measures Analysis of Variance.
- Lesson 29. Two-Way Repeated-Measures Analysis of Variance.
- Lesson 30. The Pearson Product-Moment Correlation Coefficient.
- Lesson 31. Partial Correlations.
- Lesson 32. Bivariate Linear Regression.
- Lesson 33. Multiple Linear Regression.
- Lesson 34. Discriminant Analysis.
- Lesson 35. Factor Analysis.
- Lesson 36. Internal Consistency Estimate of Reliability.
- Lesson 37. Item Analysis Using the Reliability Procedure.
- Lesson 38. The Binomial Test.
- Lesson 39. One-Sample Chi-Square Test.
- Lesson 40. Two-Way Contingency Table Analysis Using Crosstabs.
- Lesson 41. Two Independent-Sample Tests: The Mann-Whitney U Test.
- Lesson 42. K Independent Samples Tests: The Kruskal-Wallis and the Median Tests.
- Lesson 43. Two Related-Samples Tests: The McNemar, the Sign and the Wilcoxon Tests.
- Lesson 44. K Related Samples Tests: The Friedman Test and the Cochran Test.
Appendix B: Methods for Controlling Type 1 Error across Multiple Hypothesis Tests.
Appendix C: Selected Answers to Lesson Exercises.
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Prentice Hall |
| Auteur(s) | Samuel B. Green, Neil J. Salkind |
| Parution | 17/01/2003 |
| Édition | 3eme édition |
| Nb. de pages | 458 |
| Format | 21 x 27,5 |
| Couverture | Broché |
| Poids | 933g |
| Intérieur | Noir et Blanc |
| EAN13 | 9780130990044 |
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