Full Description
How to Use SPSS (R) is designed with the novice computer user in mind and for people who have no previous experience of using SPSS. Each chapter is divided into short sections that describe the statistic being used, important underlying assumptions, and how to interpret the results and express them in a research report. The book begins with the basics, such as starting SPSS, defining variables, and entering and saving data. It covers all major statistical techniques typically taught in beginning statistics classes, such as descriptive statistics, graphing data, prediction and association, parametric inferential statistics, nonparametric inferential statistics and statistics for test construction.More than 250 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS. The book includes a glossary of statistical terms and practice exercises. A complete set of online resources including video tutorials and output files for students, and PowerPoint slides and test bank questions for instructors, make How to Use SPSS (R) the definitive, field-tested resource for learning SPSS.New to this edition:Fully updated to SPSS 24 and IBM SPSS Statistics CloudNew chapter on ANOVANew material on inter-rater reliabilityNew material on syntaxAdditional coverage of data entry and management
Contents
PrefaceChapter 1. Getting StartedChapter 2. Entering and Modifying DataChapter 3. Descriptive StatisticsChapter 4. Graphing DataChapter 5. Prediction and AssociationChapter 6. Basic Parametric Inferential Statistics and t-testsChapter 7. ANOVA ModelsChapter 8. Nonparametric Inferential StatisticsChapter 9. Test ConstructionAppendix A. Effect SizeAppendix B. Practice Exercise Data SetsAppendix C. Sample Data Files Used in TextAppendix D. SPSS Syntax BasicsAppendix E. GlossaryAppendix F. Selecting the Appropriate Inferential Test
