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.
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.