- Paperback: 128 pages
- Publisher: Routledge; 1 edition (April 3, 1998)
- Language: English
- ISBN-10: 0805829474
- ISBN-13: 978-0805829471
- Product Dimensions: 0.2 x 6 x 9 inches
- Shipping Weight: 7.2 ounces
- Average Customer Review: 5 customer reviews
- Amazon Best Sellers Rank: #5,333,923 in Books (See Top 100 in Books)
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Statistical Power Analysis: A Simple and General Model for Traditional and Modern Hypothesis Tests 1st Edition
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"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.
"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. Lichtenberg, Ph.D.
University of Kansas
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Top customer reviews
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.
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.