USING SPSS FOR WINDOWS ANALYZING AND UNDERSTANDING DATA GREEN S. SALKIND N. KEY T. Księgarnia

Samuel B. Green , University of Kansas
Neil J. Salkind , University of Kansas
Theresa M. Akey , Park Hill School District

Published September 1999 by Humanities/Social Science

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.

NEW-Extensive coverage of version SPSS 9.0.
- Teaches students SPSS 9.0, latest, most powerful version of SPSS which has many improvements for both charts and statistics.
Comprehensive treatment of all relevant topics.
- Easy for instructors to teach from and for student to read. Minimizes that amount of extra help students need to get from their instructor.
Step-by-step descriptions of the most basic SPSS techniques divided into 17 lessons-Getting Started, Creating and Working with Data Files, Working with SPSS data, and Working with SPSS Charts and Outputs.
- Makes learning SPSS very easy for the first time user.
Step-by-step procedures of statistical techniques-Includes examples and copious illustrations of screen shots to enhance explanations throughout.
- Familiarizes students with the kind of dialog boxes students will encounter when using SPSS. Instructors are able to answer questions based on these dialog boxes in class that may otherwise confuse students when they do their assignments.
Student disk-Provides all files needed to work through lessons in the book included with the text.
- Minimizes student typing for completing exercises found in Parts I and II and provides sample date file sets easily identified with the Lesson name to which it corresponds for the rest of the text.
Pedagogy-Tips included in each lesson and chapter objectives.
- Tips help students learn SPSS as well as teach short cuts that make SPSS easier to use. Objectives provide students with an outline of the major points in the upcoming lessons.

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.

Po otrzymaniu zamówienia poinformujemy,
czy wybrany tytuł polskojęzyczny lub anglojęzyczny jest aktualnie na półce księgarni.