SPSS for Psychologists
eBook - PDF

SPSS for Psychologists

  1. 505 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

About this book

Students can find statistical analysis a challenging and complex task and, in order to master the techniques and complete their assignments and projects successfully, they need to have a sound understanding of IBM SPSS and its functions. Updated to be compatible with IBM SPSS 25, with handy screen-shots throughout, the seventh edition of this trusted and practical textbook will take students on a step-by-step journey towards carrying out a range of essential tasks with confidence: from performing an analysis to interpreting outputs and reporting the results. This book is an unbeatable, must-have guide to IBM SPSS that will allow undergraduate psychology students to master this powerful software tool. Accompanying online resources for this title can be found at bloomsburyonlineresources.com/spss-for-psychologists. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

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Yes, you can access SPSS for Psychologists by Virginia Harrison, Richard Kemp, Nicola Brace, Rosemary Snelgar in PDF and/or ePUB format, as well as other popular books in Psychology & Research & Methodology in Psychology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title
  3. Title
  4. Copyright
  5. Dedication
  6. Contents
  7. Preface
  8. Acknowledgements
  9. Chapter 1. Introduction
  10. Chapter 2. Data entry in SPSS
  11. Chapter 3. Exploring, cleaning and graphing data in SPSS
  12. Chapter 4. Data handling
  13. Chapter 5. Tests of difference for one- and two-sample designs
  14. Chapter 6. Tests of correlation and bivariate regression
  15. Chapter 7. Tests for nominal data
  16. Chapter 8. One-way analysis of variance
  17. Chapter 9. Factorial analysis of variance
  18. Chapter 10. Multiple regression
  19. Chapter 11. Analysis of covariance and multivariate analysis of variance
  20. Chapter 12. Discriminant analysis and logistic regression
  21. Chapter 13. Factor analysis, and reliability and dimensionality of scales
  22. Chapter 14. Using syntax and other useful features of SPSS
  23. Appendix
  24. Glossary
  25. References
  26. Index