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Methods of Extracting Initial Factors
Methods of Rotation
4 other sections not shown
adjusted correlation matrix Alpha factoring applied assumed bivariate coefficients common factor model computer program confirmatory factor analysis consider constraints corre covariance matrix covariance structure criteria degrees of freedom deviations discussed eigenvalues eigenvectors empirical confirmation equation equivalent error-free estimates examine exploratory factor analysis extraction factor analytic model factor loadings factor pattern factor scales factor solution factor structure given greater Harman image factoring initial factoring Joreskog Kaiser lation least squares main diagonal maximum likelihood solution measure method metrika minimum number number of common number of factors number of variables oblimin oblique factor oblique rotation observed correlations observed variables one-common factor model orthogonal rotation orthogonal solution parameters pattern matrix population principal axis factoring principal components analysis Psychometrika reference axes regression reliability require researcher sampling error significance test simple structure specified squared deviations statistical target matrix triangle of Table underlying factors unique variance values variance varimax weights zero