- Hardcover: 208 pages
- Publisher: Routledge; 1 edition (11 Nov 1993)
- Language English
- ISBN-10: 0415094895
- ISBN-13: 978-0415094894
- Product Dimensions: 21.6 x 14 x 2 cm
- Average Customer Review: 4.2 out of 5 stars See all reviews (4 customer reviews)
- Amazon Bestsellers Rank: 4,973,585 in Books (See Top 100 in Books)
- See Complete Table of Contents
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Product Description
Product Description
Factor analysis is a statistical technique widely used in psychology and the social sciences. With the advent of powerful computers, factor analysis and other multivariate methods are now available to many more people. An Easy Guide to Factor Analysis presents and explains factor analysis as clearly and simply as possible. The author, Paul Kline, carefully defines all statistical terms and demonstrates step-by-step how to work out a simple example of principal components analysis and rotation. He further explains other methods of factor analysis, including confirmatory and path analysis, and concludes with a discussion of the use of the technique with various examples.
An Easy Guide to Factor Analysis is the clearest, most comprehensible introduction to factor analysis for students. All those who need to use statistics in psychology and the social sciences will find it invaluable.
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).
An Easy Guide to Factor Analysis is the clearest, most comprehensible introduction to factor analysis for students. All those who need to use statistics in psychology and the social sciences will find it invaluable.
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).
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).
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Factor analysis is a statistical technique widely used in psychology and the social sciences. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
Factor analysis is a statistical technique widely used in psychology and the social sciences. Read the first page
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Customer Reviews
Most Helpful Customer Reviews
1 of 1 people found the following review helpful
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.
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.
Format:Paperback
This is a great book, particularly for the non-mathematically minded. Actually makes factor analysis clear and has greatly improved my general understanding of statistics... or at least, I think it has!
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