Using SPSS for Windows : analyzing and understanding data
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書誌事項
Using SPSS for Windows : analyzing and understanding data
Prentice Hall, c2000
2nd ed
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注記
For Version 9.0 of SPSS
Accompanied by a computer disk with all files needed to work through the lessons
Includes bibliographical references and index
内容説明・目次
内容説明
For masters- and doctoral-level students in intro and advanced statistics.
This text provides comprehensive treatment of all relevant topics for SPSS for Windows, including an introduction to get users up and running plus extensive discussion of more complex topics utilizing SPSS 9.0. Substantive information about statistical techniques includes a brief discussion of each statistical technique, examples of how the statistic is applied, the assumptions underlying the statistic, a description of the effect size, a sample data set that can be analyzed, the research question associated with the data set, step-by-step instructions as to how to complete the analysis, a discussion of the results of the analysis, alternative analytic techniques when available and a visual display of the results using SPSS graphic options.
目次
I. USING SPSS.
Unit 1: Getting Started with SPSS.
Lesson 1. Starting SPSS for Windows.Lesson 2. The SPSS Main Menus and Toolbar.Lesson 3. Using SPSS Help.Lesson 4. A Brief SPSS Tour.Unit 2: Creating and Working with Data Files.
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 Data File.Lesson 10. Exporting and Importing SPSS Data.Unit 3: Working with Data.
Lesson 11. Finding Values, Variables, and Cases.Lesson 12. Recoding Data and Computing Values.Lesson 13. Sorting, Transposing, and Ranking Data.Lesson 14. Merging and Splitting Files.Unit 4: Working with SPSS Charts and Output.
Lesson 15. Creating an SPSS Chart.Lesson 16. Enhancing SPSS Charts.Lesson 17. Using the Viewer.II. WORKING WITH SPSS PROCEDURES.
Unit 5: Creating Variables.
Lesson 18. Summarizing and Describing Data.Lesson 19. Univariate Descriptive Statistics for Qualitative Variables.Lesson 20. Univariate Descriptive Statistics for Quantitative Variables.Unit 6: T Test Procedures.
Lesson 21. One Sample T Test.Lesson 22. Paired-Samples T Test.Lesson 23. Independent-Samples T Test.Unit 7: Univariate and Multivariate Analysis-of-Variance Techniques.
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 Covariance.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.Unit 8: Correlation, Regression, and Discriminant Analysis Procedures.
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.Unit 9: Scaling Procedures.
Lesson 35. Factor Analysis.Lesson 36. Internal Consistency Estimates of Reliability.Lesson 37. Item Analysis Using the Reliability Procedure.Unit 10: Nonparametric Procedures.
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 A: Data for Crab Scale and Teacher Scale.Appendix B: Methods for Controlling Type 1 Error across Multiple Hypothesis Tests.Appendix C: Selected Answers to Lesson Exercises.References.Index.
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