Interpreting and Using Statistics in Psychological Research
eBook - ePub

Interpreting and Using Statistics in Psychological Research

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

Interpreting and Using Statistics in Psychological Research

About this book

This practical, conceptual introduction to statistical analysis by award-winning teacher Andrew N. Christopher uses published research with inherently interesting social sciences content to help students make clear connections between statistics and real life. Using a friendly, easy-to-understand presentation, Christopher walks students through the hand calculations of key statistical tools and provides step-by-step instructions on how to run the appropriate analyses for each type of statistic in SPSS and how to interpret the output. With the premise that a conceptual grasp of statistical techniques is critical for students to truly understand why they are doing what they are doing, the author avoids overly formulaic jargon and instead focuses on when and how to use statistical techniques appropriately.

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Yes, you can access Interpreting and Using Statistics in Psychological Research by Andrew N. Christopher 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. Publisher Note
  3. Half Title
  4. Publisher Note
  5. Title Page
  6. Copyright Page
  7. Brief Contents
  8. Detailed Contents
  9. Preface
  10. Acknowledgments
  11. About the Author
  12. Chapter 1 Why Do I Have to Learn Statistics? The Value of Statistical Thinking in Life
  13. Chapter 2 Basics of Quantitative Research Variables, Scales of Measurement, and an Introduction to the Statistical Package for the Social Sciences (SPSS)
  14. Chapter 3 Describing Data With Frequency Distributions and Visual Displays
  15. Chapter 4 Making Sense of Data Measures of Central Tendency and Variability
  16. Chapter 5 Determining “High” and “Low” Scores The Normal Curve, z Scores, and Probability
  17. Chapter 6 Drawing Conclusions From Data Descriptive Statistics, Inferential Statistics, and Hypothesis Testing
  18. Chapter 7 Comparing Two Group Means The Independent Samples t Test
  19. Chapter 8 Comparing Two Repeated Group Means The Paired Samples t Test
  20. Chapter 9 Comparing Three or More Group Means The One-Way, Between-Subjects Analysis of Variance (ANOVA)
  21. Chapter 10 Comparing Three or More Repeated Group Means The One-Way, Repeated-Measures Analysis of Variance (ANOVA)
  22. Chapter 11 Analyzing Two or More Influences on Behavior Factorial Designs for Two Between-Subjects Factors
  23. Chapter 12 Determining Patterns in Data Correlations
  24. Chapter 13 Predicting the Future Univariate and Multiple Regression
  25. Chapter 14 When We Have Exceptions to the Rules Nonparametric Tests
  26. Chapter 15 Bringing It All Together Using Your Statistical Toolkit
  27. Appendix A Statistical Tables
  28. Appendix B
  29. Appendix C
  30. Appendix D
  31. Appendix E
  32. Appendix F
  33. Appendix G
  34. Appendix H
  35. Glossary
  36. References
  37. Index
  38. Publisher Note