Learning to Use Statistical Tests in Psychology
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."
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:
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:
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
What people are saying - Write a review
For a very long time I had been looking for a basic book—a sort of roadmap if you will—to the myriad number of statistical tests available for conducting research. After speaking to multiple people and reviewing many books, I finally stumbled into two gems. The first one is Learning to use statistical tests in psychology by Judith Greene and Manuela D’Oliveira (209 pp.). I loved the second edition but bought the third edition, which follows a similar line. In the third edition, however, the most important feature of the book, a set of decision charts fell off. The third edition only includes one chart and so you better make sure it is included before you buy, or write to Open University Press and they will send you a PDF you can print and paste in the back cover. The book is interesting and reads like a page turning novel. The focus is on helping you decide which of the many statistical tests should be selected when conducting a research study. I was looking for a book that spoke about Likert-type questions and the analysis required (answer = Chi-square) and was surprised that Likert scales are not mentioned. The advantage of the Greene-D’Oliveira book is that it has the decision chart and is translated into Spanish (which is important for me). A week later I found the second book, Statistics in a Nutshell: A Desktop Quick Reference by Sarah Boslaugh and Paul Andrew Watters (O’Reilly, 452 pp.) that had everything I was looking for and more. The book is also very well written and entertaining. It has a better index and includes a discussion of Likert scales and the Chi-square. Besides being more thorough, Boslaugh-Watters provide a better discussion of statistical packages. If I could only choose one of the two books, I would purchase Boslaugh-Watters, but I am thrilled to have found both of these superb reference books.