4 of 4 people found the following review helpful:
4.0 out of 5 stars
It serves the purpose., April 8, 2003
This review is from: Understanding Research Methods and Statistics: An Integrated Introduction for Psychology (Hardcover)
In the past I have been quite critical regarding the quality of this book. I had found it tedious, overly descriptive, and lacking of significant examples.
In the meanwhile I have been using this book consistently because I needed information and verifications regarding the design of a challenging study. Well, I had to change my mind regarding my doubts and skepticism, and now I feel that I must vote in favor of the book.
Research is not exactly a walk on the beach, and this is certainly not a "beach" book. Research requires lots of patience, and very systematic people willing to devote much of their time for the sake of science. This book should be approached in a similar fashion, and with the intent and will to learn. If the reader establishes such a relation with this textbook, she/he will find most of her/his questions answered.
Aside the above praises, the author should consider to add practical examples to theory. This suggestion could be of great help to students willing to stay focused on a stimulating problem, and without ending up lost somewhere in the middle of the path.
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5 of 6 people found the following review helpful:
5.0 out of 5 stars
Understanding Research Methods and Statistics, November 13, 2000
By A Customer
I never thought that I would understand statistics, but this book proved me wrong! The explanations were very detailed and tailored for people who have not previously taken a statistics course. I highly recommend this book, especially for those in the psychology field...
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3 of 4 people found the following review helpful:
1.0 out of 5 stars
overkill, February 13, 2000
By A Customer
The material is good, but the author get to involved to soon in the text. It is a must to sort through what information you need and the excess! I do not think that this is a good text for a student new to statistics. Examples are poor and brief.
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