Modern Factor Analysis
This thoroughly revised third 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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Factor Analysis Model
Matrix Concepts Essential to Factor Analysis
Geometric Concepts Essential to Factor Analysis
The Problem of Communality
Properties of Different Factor Methods
Early Factor Models and Methods
Principalfactor and Related Methods
Objective Oblique MultipleFactor Solution
Congruent and Prescribed Factor Solutions
Measurement of Factors
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angle approximation axis bi-factor biquartimin calculation centroid chapter column common factors common-factor space communality coordinates correlation matrix corresponding criterion determined developed diagonal matrix direction cosines eigenvalues eigenvectors eight physical variables elements employed equations estimates example expression factor analysis factor coefficients factor loadings factor matrix factor pattern factor solution factor structure formula given hyperplane initial solution involving iteration Kaiser likelihood function linear linearly independent mathematical maximum maximum-likelihood measurements minres solution multiple correlation multiple-factor solution notation number of common number of factors number of variables oblique factors oblique solution observed correlations obtained original orthogonal transformation points primary factors principal components principal-factor method principal-factor solution problem procedure procrustes quartimax quartimin rank reproduced correlations residuals rotation sample set of variables simple structure solution of Table square root statistical symmetric matrix theoretical theory Thurstone transformation matrix twenty-four psychological tests uncorrelated unique factors values vectors zero