Free PDF Learning To Use Statistical Tests in Psychology (Open Guides to Psychology), by Judith Greene, Manuela d'Oliveira
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Learning To Use Statistical Tests in Psychology (Open Guides to Psychology), by Judith Greene, Manuela d'Oliveira
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OVER 50,000 COPIES SOLD OF THE FIRST EDITION
Review comments on 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
This book shows psychology students:
* How psychologists plan experiments and statistical tests
* Why they must plan them within certain constraints
* How they can analyse and make sense of their results
The approach is that:
* Theory is always presented together with practical examples
* Theoretical points are summarized and understanding of them tested
* Statistical principles are introduced as part and parcel of the principles of experimental design
The second edition of this widely acclaimed text is an accessible and comprehensible introduction to the use of statistical tests in psychology experiments: statistics without panic. Presented in a new textbook format, its key objective is to enable students to select appropriate statistical tests to evaluate the significance of data obtained from psychological experiments. Improvements in the organization of chapters emphasize even more clearly the principle of introducing complex experimental designs on a 'need to know' basis, leaving more space for an extended interpretation of analysis of variance. In an important development for the second edition, students are introduced to modern statistical packages as a useful tool for calculations, the emphasis being on understanding and interpretation.
- Sales Rank: #3803588 in Books
- Published on: 1999-10-01
- Original language: English
- Number of items: 1
- Dimensions: 9.50" h x 6.75" w x .75" l,
- Binding: Paperback
- 222 pages
About the Author
Judith Greene was educated at Oxford and University College London. After ten years lecturing in psychology at Birkbeck College, she has been Professor of Psychology at the Open University since 1976. Manuela d'Oliveira did her first degree in Experimental Psychology at Birkbeck College, London and her PhD at The Open University where she worked from 1976 to 1985 in the Faculty of Social Sciences. In 1986 she took up her present post as Science and Education Officer for The British Council in Portugal.
Most helpful customer reviews
2 of 3 people found the following review helpful.
Fruitless attempt to circumvent statistical theory
By A Olofsson
This book has one single aim: to help students select the appropriate test for experimental designs (as stated in the preface). It is a basic book for real "beginners" and covers introduction to experimental design, non-parametric tests and parametric tests, including 51 exercises and statistical tables. It takes the student on a very practical tour finally reaching one- and two-way ANOVA, repeated measures and mixed model. The theoretical explanations are extremely sparse and nothing is mentioned about fundamental statistical concepts like sampling distributions, assumptions or the linear model. The explanation of the function of parameters and statistical inference is extremely thin. There is an obvious risk that this book leaves the student very ill prepared for further studies in statistics. Any interested reader is recommended to compare the approach taken in this book to the deeper perspective in books by e.g. Pagano, R.R. or Howell, R.D.
0 of 0 people found the following review helpful.
Excellent road map to selecting a statistical test
By Gregorio Billikopf
For a very long time I had been looking for a basic book--a sort of map 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.
0 of 0 people found the following review helpful.
Oversimplification
By K. Shorner-Johnson
This book oversimplifies concepts such as correlation in a way that could mislead some researchers. I am not a fan of this book. There are many other books out there that do a better job taking researchers through decision-trees.
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