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An Easy Guide to Factor Analysis Paperback – 11 Nov 1993

4.0 out of 5 stars 7 customer reviews

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Product details

  • Paperback: 208 pages
  • Publisher: Routledge (11 Nov. 1993)
  • Language: English
  • ISBN-10: 0415094909
  • ISBN-13: 978-0415094900
  • Product Dimensions: 13.8 x 1.7 x 21.5 cm
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (7 customer reviews)
  • Amazon Bestsellers Rank: 180,239 in Books (See Top 100 in Books)
  • See Complete Table of Contents

Product Description

About the Author

Paul Kline is Professor of Psychometrics at the University of Exeter. He has been using and teaching factor analysis for thirty years. His previous books include Intelligence: the psychometric view (Routledge 1990) and The Handbook of Psychological Testing (Routledge 1992).

Customer Reviews

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Top Customer Reviews

Format: Paperback
This book does require at least some basic knowledge of statistics, however a lot of it is introduced in the first chapter.

What this book DOES NOT help you with, is the actual practical guide to conducting factor analyses on statistical software. It doesn't give a broad overview of the many types of rotation, extraction techniques, and does not go into much detail on confirmatory factor analysis.

That being said, what this book DOES do is provide the reader with a sound knowledge of the many confusing terms and methods of factor analysis. It actually makes conducting a principle components analysis by hand seem really easy- and I think doing some of the statistics by hand is by far the best way to learn.

However, this is really a basic introduction- it provides excellent descriptions of terms used in factor analysis- but it doesn't really give you a good guide to conducting your own analysis. So buy something else too!
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Format: Paperback
Factor analysis is a valuable technique for exploring data and finding the underlying structures important to a particular phenomenon. However, lots of texts tend to make factor analysis seem more complicated than it really is with mixed terminology such as eigenvalues, factors, latent roots and so on. Kline does not fall into this trap - his book is clear, concise and very useful. Examples clearly illustrate the principles of different styles of factor analysis and there is strong emphasis on interpretation which is the crucial element missing in so many other textbooks. I strongly recommend this book if you want to find out what factor analysis is all about but have struggled with other textbooks. It is only an introduction so is really only a good starting point but in this case that is one of its strengths.
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Format: Paperback
This book is a great buy. It gives useful equations such as standard deviation in simplistic terms. Very useful for jogging memory, and for one to do calculations without having statistical software. Not that the equations are heavily emphasised in the book. Although I am not finished reading the book, there seems to be a lack of exploration of confirmatory factor analysis. A great buy though.
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Format: Paperback Verified Purchase
Having a technical library of over 1000 books (use to be nearer 4000, not including the non-technical as well), books are like decorative cakes you enjoy time and time again, and I am an addict for good technical literature which I use in my career. This is one of the first books that I have come across that made me incensed with anger and total dissatisfaction. This is not an 'Easy Guide' but a hotchpotch of poorly written articles on the subject, totally dysfunctional and lacking any reasonable joined up basic statistical mathematics (The second chapter alone is a shambles!). One dives into a correlation matrix without any explanation to its rational or predecessor the variance-covariance matrix, scuttles towards eigenvalues and eigenvectors without any explanation for the beginner, and then onto rotation of factors, which within two paragraphs is totally mind-boggling, that even Wikipedia explains better in one paragraph and a diagram. And if I see the word 'explicate' one more time or passed to some reference in lieu of basically explaining the issue or have to listen to criticism of the community for their lack of being able to make sense of their work to mere mortals, then the pot is calling the kettle black. Do not, in your wildest dreams, bother with this text, because it will harm your academic health and understanding of the subject. Although old (about 100 years), factor analysis is still a very important area of analysis which needs to be thoroughly understood from the ground up, and can be even to mere mortals. It is not supposed to be some form of mysticism or folk law that only mathematically-oriented psychologist or high priests statisticians can do, but everyday people in the field. Someone needs to go back to the drawing board on this book. The universe is easy, good understandable academic texts however are not.
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