Learning to Use Statistical Tests in Psychology

Preface to the third edition
Study guide for students
Acknowledgements

Part I Introduction
1 Research in psychology
2 Experiments in psychology
3 Selecting statistical tests
4 Using statistical tests

Part II Statistical tests for experiments
5 Introduction to non-parametric tests
6 Wilcoxin test (related)
7 Mann-Whitney test (unrelated)
8 Introduction to parametric t tests
9 t test (related)
10 t test (unrelated)
11 Friedman test (related)
12 Kruskal-Wallis (unrelated)

Part III Analysis of Variance
13 Introduction to ANOVA
14 One-way ANOVA (unrelated)
15 One-way ANOVA (related)
16 Comparisons between ANOVA conditions
17 Introduction to two-way ANOVA
18 Two-way ANOVA (unrelated)
19 Two-way ANOVA (related)

Part IV Relationships between variables
20 Chi square
21 Pearson product moment correlation
22 Introduction to simple linear regression
23 Multiple regression
24 General Linear Model

Answers to questions
Recommended reading
References

Statistical tables

Decision Chart: inside back cover

Praise for the first edition:

"An excellent textbook which is well planned, well written, and pitched at the correct level for psychology students. I would not hesitate to recommend Greene and d'Oliveira to all psychology students looking for an introductory text on statistical methodology."
Bulletin of the British Psychological Society

Learning to Use Statistical Tests in Psychology third edition has been updated throughout. It continues to be a key text in helping students to understand and conduct statistical tests in psychology without panic! It takes students from the most basic elements of statistics teaching them:

• How psychologists plan experiments and statistical tests
• Which considerations must be made when planning experiments
• How to analyze and comprehend test results

Like the previous editions, this book provides students with a step-by-step guide to the simplest non-parametric tests through to more complex analysis of variance designs. There are clear summaries in progress boxes and questions for the student to answer in order to be sure that they have understood what they have read.

The new edition is divided into four discrete sections and within this structure each test covered is illustrated through a chapter of its own. The sections cover:

• The principles of psychological research and psychological statistics
• Statistical tests for experiments with two or three conditions
• Statistical tests based on ANOVA (Analysis of Variance) conditions as well as tests for multiple comparisons between individual conditions
• Statistical tests to analyze relationships between variables

Presented in a student-friendly textbook format, Learning to Use Psychological Tests in Psychology enables readers to select and use the most appropriate statistical tests to evaluate the significance of data obtained from psychological experiments.

An errata sheet detailing the Decision Chart which is referred to can be downloaded by clicking here