- Paperback: 128 pages
- Publisher: Taylor & Francis; 2 edition (1 Aug 2003)
- Language English
- ISBN-10: 0805845267
- ISBN-13: 978-0805845266
- Product Dimensions: 22.6 x 14.6 x 1.2 cm
- Amazon Bestsellers Rank: 2,075,513 in Books (See Top 100 in Books)
- See Complete Table of Contents
Statistical Power Analysis
and over one million other books are available for Amazon Kindle .
Learn more
| ||||||||||||||||||||||||
Did you know you can trade in your old books for an Amazon.co.uk Gift Card to spend on the things you want? Plus, get an extra £5 Gift Certificate when you trade in books worth £10 or more before June 30, 2012. Visit the Books Trade-In Store for more details. |
|
There is a newer edition of this item:
|
Product details |
More About the Author
Product Description
Review
"I recommend...[it] highly to biostatisticians, econometricians, and statisticians."
Journal of Statistical Computation and Simulation
"This a useful introductory text to power analysis. It would be well suited to researchers who are involved in testing hypotheses on an everyday basis, but without a strong statistical background."
Journal of the Royal Statistical Society
."..Murphy and Myors' ability to explain difficult or obscure concepts in an easy to understand style is what makes this text excellent....Students would find [this book] a refreshing approach to understanding and mastering a sometimes difficult task."
Kim Ernst, Ph.D.
Loyola University
"I found it easy to read and understand--not my typical reaction to a book of this type."
Joe Rosse, Ph.D.
University of Colorado at Boulder
."..I refer graduate students to it as they prepare their dissertation proposals....They turn to it for their research, and that is a very good sign."
James W.
Product Description
This book presents a simple, comprehensive framework for power analysis which provides a clear explanation of standard techniques for beginning users as well as offering an innovative critique of statistical significance testing for more experienced read
Inside This Book
(Learn More)
Tag this product(What's this?)Think of a tag as a keyword or label you consider is strongly related to this product.
Tags will help all customers organise and find favourite items. |
Customer Reviews
There are no customer reviews yet on Amazon.co.uk.
5 star
4 star
3 star
2 star
1 star
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:
4 reviews
21 of 23 people found the following review helpful
Almost good.
13 Aug 2002
Format:Hardcover
This text was interesting and informative, but belabored the value of minimum effect hypothesis testing and pretty much ignored confidence intervals as an alternative. Worse, this book contains some mistakes: the noncentral F distribution formula (A3 in Appendix A) is written with parameters that are not explained, and also the authors state that the classical hypothesis testing is false "by definition". This is simply not true; it may be false more often than not, but it is not false by definition. But the worst shortcomings of this book are that it propagates the use of statistical tables instead of clearly explaining the underlying formulae. With ubiquitous computers, it is ridiculous to think that people still need to consult tables, which are restrictive in the alpha values. After reading this text, it is clear that power depends on effect size, alpha, the standard deviations of the treated and untreated populations, and the sample size, but nowhere do the authors clearly show what this functional relationship is. I guess they think that gamma functions and the like are just too difficult mathematics and force people to blindly work with tables in a haze of confusion, wondering the functional relationship of these variables. Finally, they do point out the desired relative seriousness of type I vs. type II errors (a major plus) but fail to emphasize this point as much as it deserves. For example, if there is no a priori reason to favor type I over type II errors or vice versa, then these should be set equal to each other and the sample size calculated from the formulae. Using power = 0.8 with alpha = 0.1 may be acceptable in their field of psychology but is incongruous with the point that they belabor - that type II errors are typically more serious. In conclusion, I would say to read this book from a library and hold off on buying until they (hopefully) correct these flaws in a second edition. Unfortunately, I have yet to see a better text that does clearly explain the functional relationship between the variables involved in power calculations.
6 of 6 people found the following review helpful
Interesting... but needs a better edit
4 Feb 2005
Format:Paperback
The book presents a very interesting method: reducing power analysis to the F distribution. The authors provide very compelling and convincing arguments for the use of power analysis. At times you feel as if their arguments are not well referenced or backed-up, however, especially if you have read a number of technically-oriented statistical texts. Nevertheless, the arguments are provided a good intuitive feel.
The one problem with the book is its editing, or lack thereof. For example, on page 49 the following appears: "If you set a more stringent alpha (e.g., a = .01) is set,..". The sentence was clearly edited, but the edited-out part was left in. This happens in multiple places. Also, on page 41, the (non)-word "irged" is used instead of "urged." All of this should have been caught and fixed prior to publication and prior to asking for $22.50 for the book. I can understand a few errors making it into the final printed edition, but this bordered on ridiculous. I would say that the editorial errors actually became a distraction and took away from the central theme of the book.
The one problem with the book is its editing, or lack thereof. For example, on page 49 the following appears: "If you set a more stringent alpha (e.g., a = .01) is set,..". The sentence was clearly edited, but the edited-out part was left in. This happens in multiple places. Also, on page 41, the (non)-word "irged" is used instead of "urged." All of this should have been caught and fixed prior to publication and prior to asking for $22.50 for the book. I can understand a few errors making it into the final printed edition, but this bordered on ridiculous. I would say that the editorial errors actually became a distraction and took away from the central theme of the book.
5 of 7 people found the following review helpful
Clear, concise, useful
2 April 2002
Format:Paperback
This book is clearly and concisely written and provides both an introduction to power analysis and a description of a single set of procedures for power analysis when using any of the procedures covered by the general linear model. If you're familiar with power analysis it's fairly easy to skip the sections you don't need to read without impairing your ability to follow the development of the power analysis model.
Murphy and Myors also take some positions which are debatable (especially by those of us who often don't have the luxury of restricting our sample sizes) but always well argued.
Were these reviews helpful?
Let us know
Customer Discussions
|
This product's forum
Active discussions in related forums
Search Customer Discussions
|
Related forums
|
Listmania!
Look for similar items by category
- Books > Health, Family & Lifestyle > Psychology & Psychiatry > Methodology > Statistics
- Books > Science & Nature > Mathematics > Probability & Statistics
- Books > Science & Nature > Popular Science > Maths
- Books > Scientific, Technical & Medical
- Books > Society, Politics & Philosophy > Social Sciences
Look for similar items by subject
Feedback
- Would you like to update product info or give feedback on images?
- I am the Author, and I want to comment on my book.
- I am the Publisher, and I want to comment on this book.
