Presenting Statistical Results Effectively
eBook - ePub

Presenting Statistical Results Effectively

  1. 288 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Presenting Statistical Results Effectively

About this book

Perfect for any statistics student or researcher, this book offers hands-on guidance on how to interpret and discuss your results in a way that not only gives them meaning, but also achieves maximum impact on your target audience. No matter what variables your data involves, it offers a roadmap for analysis and presentation that can be extended to other models and contexts.

Focused on best practices for building statistical models and effectively communicating their results, this book helps you:
-        Find the right analytic and presentation techniques for your type of data
-        Understand the cognitive processes involved in decoding information
-        Assess distributions and relationships among variables
-        Know when and how to choose tables or graphs
-        Build, compare, and present results for linear and non-linear models
-        Work with univariate, bivariate, and multivariate distributions
-        Communicate the processes involved in and importance of your results.

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Yes, you can access Presenting Statistical Results Effectively by Robert Andersen,David A. Armstrong II in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Publisher Note
  4. Title Page
  5. Copyright Page
  6. Acknowledgements
  7. Table of Contents
  8. Illustration List
  9. Table List
  10. About the Authors
  11. Preface
  12. 1 Some Foundation
  13. Part A General Principles of Effective Presentation
  14. 2 Best Practices for Graphs and Tables
  15. 3 Methods for Visualizing Distributions
  16. 4 Exploring and Describing Relationships
  17. Part B The Linear Model
  18. 5 The Linear Regression Model
  19. 6 Assessing the Impact and Importance of Multi-category Explanatory Variables
  20. 7 Identifying and Handling Problems in Linear Models
  21. 8 Modelling and Presentation of Curvilinear Effects
  22. 9 Interaction Effects in Linear Models
  23. Part C The Generalized Linear Model and Extensions
  24. 10 Generalized Linear Models
  25. 11 Categorical Dependent Variables
  26. 12 Conclusions and Recommendations
  27. Appendix
  28. References
  29. Index