Statistics for the Social Sciences
eBook - PDF

Statistics for the Social Sciences

A General Linear Model Approach

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

Statistics for the Social Sciences

A General Linear Model Approach

About this book

Written by a quantitative psychologist, this textbook explains complex statistics in accessible language to undergraduates in all branches of the social sciences. Built around the central framework of the General Linear Model (GLM), Statistics for the Social Sciences teaches students how different statistical methods are interrelated to one another. With the GLM as a basis, students with varying levels of background are better equipped to interpret statistics and learn more advanced methods in their later courses. Russell T. Warne makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this book will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice and reflection questions.

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Yes, you can access Statistics for the Social Sciences by Russell T. Warne 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 page
  4. Copyright information
  5. Dedication
  6. Table of contents
  7. Preface
  8. Acknowledgements
  9. List of Examples
  10. 1 Statistics and Models
  11. 2 Levels of Data
  12. 3 Visual Models
  13. 4 Models of Central Tendency and Variability
  14. 5 Linear Transformations and z-Scores
  15. 6 Probability and the Central Limit Theorem
  16. 7 Null Hypothesis Statistical Significance Testing and z-Tests
  17. 8 One-Sample t-Tests
  18. 9 Paired-Samples t-Tests
  19. 10 Unpaired Two-Sample t-Tests
  20. 11 Analysis of Variance
  21. 12 Correlation
  22. 13 Regression
  23. 14 Chi-Squared Test
  24. 15 Applying Statistics to Research, and Advanced Statistical Methods
  25. Appendix A1 z-Table
  26. Appendix A2 t-Table
  27. Appendix A3 F-Table
  28. Appendix A4 Q-table (Tukey’s Post Hoc Test)
  29. Appendix A5 Critical Values for r
  30. Appendix A6 .2-Table
  31. Glossary
  32. Answer Key
  33. References
  34. Name Index
  35. Subject Index