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Introduction to statistics in psychology

Author: Dennis Howitt; Duncan Cramer
Publisher: Harlow : Financial Times Prentice Hall, 2008.
Edition/Format:   Print book : English : 4th edView all editions and formats
Summary:

Focusing on the needs and teaching methods for both students and lecturers, this represents a complete package for teaching statistics to psychology undergraduates.

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Document Type: Book
All Authors / Contributors: Dennis Howitt; Duncan Cramer
ISBN: 9780132051613 0132051613
OCLC Number: 231881314
Notes: Previous edition: Harlow: Pearson/Prentice Hall, 2005.
CD-ROM in back pocket.
Description: xxx, 527 pages : illustrations ; 25 cm + 1 CD-ROM
Contents: Contents Introduction Part 1: Descriptive statistics 1. Why you need statistics: Types of data 2. Describing variables: Tables and diagrams 3. Describing variables numerically: Averages, variation and spread 4. Shapes of Distributions of Scores 5. Standard deviation and z-scores: The standard unit of measurement in statistics 6. Relationships between two or more variables: Diagrams and tables 7. Correlation coefficients: Pearson correlation and Spearman's rho 8. Regression: Prediction with precision Part 2: Significance testing 9. Samples and populations: Generalising and inferring 10. Statistical significance for the correlation coefficient: A practical introduction to statistical inference 11. Standard error: The standard deviation of the means of samples 12. The t-test: Comparing two samples of correlated/related scores 13. The t-test: Comparing two samples of unrelated/uncorrelated scores 14. Chi-square: Differences between samples of frequency data 15. Probability 16. Reporting significance levels succinctly 17. One-tailed versus two-tailed significance testing 18. Ranking tests: Nonparametric statistics Part 3: Introduction to analysis of variance 19. The variance ratio test: The F-ratio to compare two variances 20. Analysis of variance (ANOVA): Introduction to the one-way unrelated or uncorrelated ANOVA 21. Analysis of variance for correlated scores or repeated measures 22. Two-way analysis of variance for unrelated/uncorrelated scores: Two experiments for 23. Multiple comparisons in ANOVA: Just where do the differences lie? 24. Mixed-design ANOVA: Related and Unrelated Variables together 25. Analysis of covariance: Controlling for additional variables 26. Multivariate Analysis of Variance (MANOVA) 27. Discriminant (Function) analysis especially in MANOVA 28. Statistics and the analysis of experiments Part 4: More advanced correlational statistics 29. Partial correlation: Spurious correlation, third or confounding variables, suppressor 30. Factor analysis: Simplifying complex data 31. Multiple regression and multiple correlation 32. Path analysis 33. The analysis of a questionnaire/survey project Part 5:Assorted advanced techniques 34. Statistical power analysis: Do my findings matter? 35. Meta-analysis: Combining and exploring statistical findings from previous research 36. Reliability in scales and measurement: Consistency and agreement 37. Confidence intervals Part 6: Advanced qualitative or nominal techniques 38. Log-Linear Methods: The analysis of complex contingency tables 39. Multinomial logistic regression: Distinguishing between several different categories 40. Binomial Logistic Regression Appendices Appendix A: Testing for excessively skewed distributions Appendix B1: Large sample formulae for the nonparametric tests Appendix B2: Nonparametric tests for three or more groups Appendix C: Extended table 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 significance values for the F-distribution Appendix K: Table of significant values of t when making multiple t-tests References Index
Responsibility: Dennis Howitt, Duncan Cramer.

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' With a thorough appreciation for a range of topics, the text really is a priceless aid to my revision. This new edition is a student-friendly goldmine, packed full of working examples and Read more...

 
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