Introduction to Statistics in Psychology, 4th edition

Introduction to Statistics in Psychology,
4th edition

By Dennis, Howitt & Duncan Cramer
November 2007
Pearson Education
Distrubuted by Trans-Atlantic Publications Inc.
ISBN: 9780132051613
560 pages
$87.50 Paper Original

Description

Introduction to Statistics in Psychology 4th edition is the complete guide to statistics for psychology students. Its range is exceptional in order to meet student needs throughout their undergraduate degree and beyond. By keeping to simple mathematics, step by step explanations of all the important statistical concepts, tests and procedures ensure that students understand data analysis properly.

Pedagogical features such as ‘research design issues’, ‘calculations’ and the advice boxes help structure study into manageable sections whilst the overview and key points help with revision. Plus this 4th edition includes even more examples to bring to life how different statistical tests can be used in different areas of psychology.

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

Features:

Step by step explanations of all the important statistical concepts, tests and procedures
Pedagogical features such as ‘research design issue’, ‘calculation’ and the advice boxes
New chapters on MANOVA and moderating variables, as well as extended coverage of factor analysis, ensures this remains the most comprehensive statistics text available.
Even more examples to bring to life how different statistical tests can be used in different areas of psychology.
An accompanying CD containing extra resources including research scenarios with exercises, and further examples for students to consolidate their understanding.

Reviews
' 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 theoretical considerations for all of the statistics I study at university'. Joshua Baker, Psychology Student, Nottingham Trent University

'Essential reading for all undergraduate psychology students'. Dr. Andrew J. Stewart, University of Manchester

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