An Introduction to Statistics in Psychology

An Introduction to Statistics in Psychology : A Complete Guide for Students

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Description

This new edition of introduces statistics to psychology students and is designed to be used at all levels of an undergradaute course. Together with the Guide to Computing with SPSS for Windows the book provides a complete package to aid students conceptual and practical understanding.show more

Product details

  • Paperback | 496 pages
  • 173 x 234 x 26mm | 810g
  • Pearson Education (US)
  • Prentice Hall
  • Upper Saddle River, United States
  • English
  • 2nd edition
  • 0130173142
  • 9780130173140

Table of contents

Introduction Part 1: Descriptive Statistics: Chapter 1. Why You Need Statistics: Types of Data Chapter 2. Describing Variables: Tables and Diagrams Chapter 3. Describing Variables Numerically: Averages, Variation and Spread Chapter 4. Shapes of Distributions of Scores Chapter 5. Standard Deviation: The Standard Unit of Measurement in Statistics Chapter 6. Relationships Between Two or More Variables: Diagrams and Tables Chapter 7. Correlation Coefficients: Pearson Correlation and Spearman's Rho Chapter 8. Regression: Prediction with Precision Part 2: Significance Testing Chapter 9. Samples and Populations: Generalising and Inferring Chapter 10. Statistical Significance for the Correlation Coefficient: A Practical Introduction to Statistical Inference Chapter 11. Standard Error: The Standard Deviation of the Means of Samples Chapter 12. T-Test: Comparing Two Samples of Correlated /Related Scores Chapter 13. The T-Test Comparing Two Groups of Unrelated/Uncorrelated Scores Chapter 14. Chi-Squared: Differences Between Samples of Frequency Data Chapter 15. Probability Chapter 16. Reporting Significance Levels Succinctly Chapter 17. One-Tailed Versus Two-Tailed Significance Testing Chapter 18. Ranking Tests: Non-Parametric Statistics Part 3: Introduction to Analysis of Variance: Chapter 19. The Variance Ratio Test: The F-Ratio to Compare Two Variances Chapter 20. Analysis of Variance (ANOVA): Introduction to the One-Way Unrelated or Uncorrelated Anova Chapter 21. Analysis of Variance for Correlated Scores or Repeated Measures Chapter 22. Two-Way Analysis of Variance for Unrelated/Uncorrelated Scores: Two Experiments for the Price of One? Chapter 23. Multiple Comparisons in ANOVA: Just Where do the Differences Lie? Chapter 24. More on the Analysis of Variance (ANOVA): Special Variants of the Approach Chapter 25. Statistics and the Analysis of Experiments Part 4: More Advanced Correlational Statistics: Chapter 26. Partial Correlation: Spurious Correlation, Third Variables, Suppresser Variables Chapter 27. Factor Analysis: Simplifying Complex Data Chapter 28. Multiple Regression and Multiple Correlation Chapter 29. Path Analysis Chapter 30. The Analysis of a Questionnaire/Survey Project Part 5: Assorted Advanced Techniques Chapter 31. Statistical Power Analysis: Do My Findings Matter? Chapter 32. Meta-analysis: Combining and Exploring Statistical Findings from Previous Research Chapter 33. Reliability in Scales and Measurement: consistency and agreement Chapter 34. Confidence Intervals Chapter 35. The Analysis of Complex Contingency Tables: Log-Linear Methods Appendix A. Testing for Excessively Skewed Distributions Appendix B. Large Sample Formulae for the Non-Parametric Tests Appendix C. Extended Tables of Significance for the Pearson Correlation Coefficient Appendix D. Table of Significance for the Spearman Correlation Coefficient Appendix E. Extended Table of Significance for the t-Test Appendix F. Table of Significance for Chi-Square Appendix G. Extended Table of Significance for the Sign Test Appendix H. Table of Significance for the Wilcoxon Matched Pairs Test Appendix I. Table of Significance for the Mann-Whitney U-Test Appendix J. Table of Significant values for the F-Distribution Appendix K. Table of Significant Values of t- When Making Multiple t-Tests Appendix References Indexshow more

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