Discovering Statistics Using IBM SPSS Statistics
eBook - ePub
No longer available

Discovering Statistics Using IBM SPSS Statistics

  1. 1,144 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub
No longer available

Discovering Statistics Using IBM SPSS Statistics

About this book

With its unique combination of humour and step-by-step instruction, this award-winning book is the statistics lifesaver for everyone. From initial theory through to regression, factor analysis and multilevel modelling, Andy Field animates statistics and SPSS software with his famously bizarre examples and activities.

Features:
•Flexible coverage to support students across disciplines and degree programmes
•Can support classroom or lab learning and assessment
•Analysis of real data with opportunities to practice statistical skills
•Highlights common misconceptions and errors
•A revamped online resource that uses video, case studies, datasets, testbanks and more to help students negotiate project work, master data management techniques, and apply key writing and employability skills
•Covers the range of versions of IBM SPSS Statistics©.

All the online resources above (video, case studies, datasets, testbanks) can be easily integrated into your institution?s virtual learning environment or learning management system. This allows you to customize and curate content for use in module preparation, delivery and assessment.

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Yes, you can access Discovering Statistics Using IBM SPSS Statistics by Andy Field in PDF and/or ePUB format, as well as other popular books in Social Sciences & 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. Acknowledgements
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Extended Contents
  8. Preface
  9. How to use this book
  10. Thank you
  11. Acknowledgements
  12. Symbols used in this book
  13. A brief maths overview
  14. 1 Why is my evil lecturer forcing me to learn statistics?
  15. 2 The SPINE of statistics
  16. 3 The phoenix of statistics
  17. 4 The IBM SPSS Statistics environment
  18. 5 Visualizing data
  19. 6 The beast of bias
  20. 7 Non-parametric models
  21. 8 Correlation
  22. 9 The linear model (regression)
  23. 10 Categorical predictors: Comparing two means
  24. 11 Moderation and mediation
  25. 12 GLM 1: Comparing several independent means
  26. 13 GLM 2: Comparing means adjusted for other predictors (analysis of covariance)
  27. 14 GLM 3: Factorial designs
  28. 15 GLM 4: Repeated-measures designs
  29. 16 GLM 5: Mixed designs
  30. 17 Multivariate analysis of variance (MANOVA)
  31. 18 Exploratory factor analysis
  32. 19 Categorical outcomes: chi-square and loglinear analysis
  33. 20 Categorical outcomes: logistic regression
  34. 21 Multilevel linear models
  35. Epilogue
  36. Appendix
  37. Glossary
  38. References
  39. Index
  40. Acknowledgements