This thoroughly revised edition of Harry H. Harman's authoritative text incorporates the many new advances made in computer science and technology over the last ten years. The author gives full coverage to both theoretical and applied aspects of factor analysis from its foundations through the most advanced techniques. This highly readable text will be welcomed by researchers and students working in psychology, statistics, economics, and related disciplines.
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7 of 7 people found the following review helpful:
5.0 out of 5 stars
The bible of factor analysis for the mathematically literate,
This review is from: Modern Factor Analysis (Hardcover)
This is an all-time classic on the subject. Want to know about principal axes and components, minimum residuals, alpha factor analysis, canonical factors, maximum liklihood, and the multiple group and centroid methods? Then read this book. How about factor rotation? Whether you prefer your factors served up on an orthogonal or oblique reference basis, you will find it here: the book discusses the notion of simple structure and clearly describes and compares many of the rotational methods by which it is sought--quartimax, varimax, oblimax, oblimin, Harris-Kaiser orthoblique, even procrustes. Need to measure your factors? Consult Chapter 16 for an in-depth analysis and comparison of different techniques for estimating factor scores. The only complaint I have is that some of the less popular oblique rotations such as PPFP and Oblisim were not covered. While Varimax is unquestionably king when it comes to orthogonal rotation, the popular oblique methods (like oblimax and promax, which appear in many stats packages) do not perform very well; currently, PPFP (Primary Product Functionplane), Oblisim, and possibly TRASID, are the best solutions to the oblique simple-structure rotation problem. I am sure that if there was a 4th edition, such methods would have been included. Nevertheless, I would not hesitate to recommend this book to anyone interested in factor analysis or needing to perform one.Jeffrey Owen Katz, Ph.D. Author (with Donna McCormick): "The Encyclopedia of Trading Strategies" (McGraw Hill, 2000) "Advanced Option Pricing Models" (McGraw Hill, 2005)
2 of 2 people found the following review helpful:
3.0 out of 5 stars
Great in its day,
By
This review is from: Modern Factor Analysis (Hardcover)
This was truly one of the classic books on exploratory factor analysis. However, the big problem is that the literature has moved on while (for obvious reasons) Harman has been frozen in place since its publication, which means that it is nearly forty years out of date. The literature made a substantial turn towards confirmatory factor analysis right as this was coming out. While EFA wasn't a hot topic anymore, there are developments of importance (e.g., geomin rotation, more focus on standard errors, the comprehensive review done by Cudeck and Browne in the 1990s, semi-confirmatory/semi-exploratory factor analysis, multiway/multimode models, models for non-normal data, etc.) that came after this book was published. Unless you want the best the 1960s had to offer and nothing else, a book like Stanley Mulaik's Foundations of Factor Analysis, Second Edition (2009, CRC Press), is likely to be more suitable.
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Inside This Book
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First Sentence:
Factor analysis is a branch of statistical science, but because of its development and extensive use in psychology the technique itself is often mistakenly considered as psychological theory. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
minres solution, eight physical variables, oblique factor pattern, quartimin solution, orthogonal factor matrix, orthoblique method, quartimax solution, direct oblimin solutions, oblique primary factors, canonical factor analysis, different factor methods, minres method, unknown communalities, orthogonal factor pattern, image factor analysis, classical factor analysis model, quartimin criterion, oblique reference system, initial factor matrix, initial factor pattern, oblimax criterion, quartimax method, reproduced correlations, reduced correlation matrix, oblique factor structure Key Phrases - Capitalized Phrases (CAPs): (learn more)
Charles Spearman, Karl Pearson, Original Calculated Difference, Coefficients of Variables Factor, Cyril Burt, Factor Factor Correlations, Constant Standardized Form, Factor Correlations Among Factors New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Factor analysis is a branch of statistical science, but because of its development and extensive use in psychology the technique itself is often mistakenly considered as psychological theory. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
minres solution, eight physical variables, oblique factor pattern, quartimin solution, orthogonal factor matrix, orthoblique method, quartimax solution, direct oblimin solutions, oblique primary factors, canonical factor analysis, different factor methods, minres method, unknown communalities, orthogonal factor pattern, image factor analysis, classical factor analysis model, quartimin criterion, oblique reference system, initial factor matrix, initial factor pattern, oblimax criterion, quartimax method, reproduced correlations, reduced correlation matrix, oblique factor structure Key Phrases - Capitalized Phrases (CAPs): (learn more)
Charles Spearman, Karl Pearson, Original Calculated Difference, Coefficients of Variables Factor, Cyril Burt, Factor Factor Correlations, Constant Standardized Form, Factor Correlations Among Factors New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 3
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- Mathematical Models in Accountancy, Economics and Finance by Daniel Leonard in Front Matter
- Economic Development (Economics Today S.) by Gareth Rees in Back Matter
- Mathematical Methods for Digital Computers: v. 2 by Anthony Ralston in Front Matter
- Factor Analysis in Chemistry, 2nd Edition by Edmund R. Malinowski on page 81, page 144, and Back Matter
- The Unchanging American Voter by Eric R. A. N. Smith in Back Matter
- Mathematical Tools for Applied Multivariate Analysis by J. Douglas Carroll in Back Matter
- Independent Component Analysis by Aapo Hyvärinen in Back Matter
- Advanced Drug Design And Development: A Medicinal Chemistry Approach (Ellis Horwood Series in Pharmaceutical Technology) by P N Kourounakis on page 89
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