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IBM SPSS Statistics 26 Step by Step: A Simple Guide and Reference

IBM SPSS Statistics 26 Step by Step: A Simple Guide and Reference

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About the Book

IBM SPSS Statistics 26 Step by Step: A Simple Guide and Reference, sixteenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. Output for each procedure is explained and illustrated, and every output term is defined. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. This book covers the basics of statistical analysis and addresses more advanced topics such as multi-dimensional scaling, factor analysis, discriminant analysis, measures of internal consistency, MANOVA (between- and within-subjects), cluster analysis, Log-linear models, logistic regression and a chapter describing residuals. Back matter includes a description of data files used in exercises, an exhaustive glossary, suggestions for further reading and a comprehensive index. IMB SPSS Statistics 26 Step by Step is distributed in 85 countries, has been an academic best seller through most of the earlier editions, and has proved invaluable aid to thousands of researchers and students. New to this edition: Screenshots, explanations, and step-by-step boxes have been fully updated to reflect SPSS 26 How to handle missing data has been revised and expanded and now includes a detailed explanation of how to create regression equations to replace missing data More explicit coverage of how to report APA style statistics; this primarily shows up in the Output sections of Chapters 6 through 16, though changes have been made throughout the text.

Table of Contents:
Preface 1. An Overview of IBM® SPSS® Statistics 2A. IBM SPSS Statistics Processes for PC 2B. IBM SPSS Statistics Processes for Mac 3. Creating and Editing a Data File 4. Managing Data 5. Graphs and Charts: Creating and Editing 6. Frequencies 7. Descriptive Statistics 8. Crosstabulation and χ2 Analyses 9. The Means Procedure 10. Bivariate Correlation 11. The t Test Procedure 12. The One-Way ANOVA Procedure 13. General Linear Model: Two-Way ANOVA 14. General Linear Model: Three-Way ANOVA 15. Simple Linear Regression 16. Multiple Regression Analysis 17. Nonparametric Procedures 18. Reliability Analysis 19. Multidimensional Scaling 20. Factor Analysis 21. Cluster Analysis 22. Discriminant Analysis 23. General Linear Models: MANOVA and MANCOVA 24. G.L.M.: Repeated-Measures MANOVA 25. Logistic Regression 26. Hierarchical Log-Linear Models 27. Nonhierarchical Log-Linear Models 28. Residuals: Analyzing Left-Over Variance Data Files Glossary References Credits Index


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Product Details
  • ISBN-13: 9780367174354
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: Routledge
  • Height: 280 mm
  • No of Pages: 402
  • Spine Width: 23 mm
  • Weight: 1070 gr
  • ISBN-10: 0367174359
  • Publisher Date: 02 Dec 2019
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Sub Title: A Simple Guide and Reference
  • Width: 210 mm


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