Using SPSS for the Windows and Macintosh

Using SPSS for the Windows and Macintosh : Analyzing and Understanding Data

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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.show more

Product details

  • Mixed media product | 443 pages
  • 208.3 x 274.3 x 20.3mm | 929.88g
  • Pearson Education (US)
  • Pearson
  • United States
  • English
  • 3rd edition
  • 0130990043
  • 9780130990044

Table of 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.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 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 Variables.Lesson 13. Sorting, Transposing, and Ranking Data.Lesson 14. Splitting and Merging 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 and Computing Descriptive Statistics.Lesson 18. Creating Variables.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 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.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 Estimate 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.show more

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