For courses in Introductory Statistics and Research Methods courses using SPSS.

Using SPSS guides students through the most basic of SPSS techniques using step-by-step descriptions, presents statistical techniques and instruction on how to conduct statistical analyses, and explains in detail how to avoid all the obstacles common in the study of statistics.

The development of easy-to-use statistical software like SPSS has changed the way statistics is being taught and learned. Students can make transformations of variables, create graphs of distributions of variables, and select among statistical analyses all at the click of a button. However, even with these advancements, students sometimes still find statistics to be an arduous task.

They continue to be faced with many potential obstacles and they might feel overwhelmed and stressed rather than challenged and excited about the potential for mastering these important skills. Samuel Green and Neil Salkind have written a text to specifically address these issues.

Neil J. Salkind is a professor emeritus of educational psychology at the University of Kansas where he taught for 35 years. He received his degree from the University of Maryland's Institute for Child Study and has published numerous journal articles and books, among them being Using SPSS with Sam Green (Prentice Hall), Exploring Research (Prentice Hall) and Statistics for People Who (Think They) Hate Statistics (Sage). He is active in the Society for Research in Child Development where he edited the journal Child Development Abstracts & Bibliography, and the American Psychological Association. He lives in Lawrence, KS.

Preface

Part 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 Data File   

    Lesson 10    Exporting and Importing SPSS Data   

    Lesson 11  Validating SPSS Data

Unit 3       Working with Data   

    Lesson 12    Finding Values, Variables, and Cases   

    Lesson 13    Recoding Data and Computing Values   

    Lesson 14    Sorting, Transposing, and Ranking Data   

    Lesson 15    Splitting and Merging Files   

Unit 4A     Working with SPSS Charts and Output for Windows  

    Lesson 16A Creating an SPSS Chart   

    Lesson 17A Enhancing SPSS Charts   

    Lesson 18A Using the Viewer and Pivot Tables  

Unit 4B     Working with SPSS Charts and Output for Macintosh  

    Lesson 16B Creating an SPSS Chart   

    Lesson 17B Enhancing SPSS Charts   

    Lesson 18B Using the Viewer and Pivot Tables  

Part II      Working with SPSS Procedures   

Unit 5       Creating Variables and Computing Descriptive Statistics   

    Lesson 19    Creating Variables   

    Lesson 20    Univariate Descriptive Statistics for Qualitative Variables   

    Lesson 21    Univariate Descriptive Statistics for Quantitative Variables   

Unit 6       t Test Procedures   

    Lesson 22    One-Sample t Test   

    Lesson 23    Paired-Samples t Test   

    Lesson 24    Independent-Samples t Test   

Unit 7       Univariate and Multivariate
                  Analysis-of-Variance Techniques   

    Lesson 25    One-Way Analysis of Variance   

    Lesson 26    Two-Way Analysis of Variance   

    Lesson 27    One-Way Analysis of Covariance   

    Lesson 28    One-Way Multivariate Analysis of Variance   

    Lesson 29    One-Way Repeated-Measures Analysis of Variance   

    Lesson 30    Two-Way Repeated-Measures Analysis of Variance   

Unit 8  Correlation, Regression, and Discriminant Analysis Procedures   

    Lesson 31    Pearson Product-Moment Correlation Coefficient   

    Lesson 32    Partial Correlations   

    Lesson 33    Bivariate Linear Regression   

    Lesson 34    Multiple Linear Regression   

    Lesson 35    Discriminant Analysis   

Unit 9       Scaling Procedures   

    Lesson 36  Factor Analysis   

    Lesson 37    Internal Consistency Estimates of Reliability   

    Lesson 38    Item Analysis Using the Reliability Procedure   

Unit 10     Nonparametric Procedures   

    Lesson 39    Binomial Test   

    Lesson 40    One-Sample Chi-Square Test   

    Lesson 41    Two-Way Contingency Table Analysis Using Crosstabs   

    Lesson 42    Two Independent-Samples Test: The Mann-Whitney U Test   

    Lesson 43    K Independent-Samples Tests: The Kruskal-Wallis and the Median Tests   

    Lesson 44    Two Related-Samples Tests: The McNemar, the Sign, and the Wilcoxon Tests   

    Lesson 45    K Related-Samples Tests: The Friedman and the Cochran Tests   

Appendix A        Data for Crab Scale and Teacher Scale   

Appendix B        Methods for Controlling Type I Error across Multiple Hypothesis Tests   

Appendix C        Selected Answers to Lesson Exercises   

References   

Index