The asymptotic standard errors of the estimates of rotated factor loadings and factor correlations are derived for the cases with weights for observed variables such as those for Kaiser\u27s normalization. The factor analysis models employed in this paper are the exploratory ones which have orthogonal or oblique common factors and unstandardized or standardized observed variables. The asymptotic standard errors are given from an augmented information matrix. As an application, the result for the direct oblique rotation by general quartic criteria with Kaiser\u27s normalization is derived. The results of simulation show that the theoretical standard errors are close to simulated ones
Formulas for the asymptotic biases of the estimators of the normal theory standard errors in factor ...
The rotation problem in factor analysis consists in finding an orthogonal transformation of the init...
This thesis which consists of four papers is concerned with estimation methods in factor analysis an...
The asymptotic standard errors of the estimates of rotated factor loadings and factor correlations a...
資料Kaiser\u27s normalization is widely used in factor rotation. In this paper the asymptotic standard...
The asymptotic correlations between differently rotated solutions in ex ploratory factor analysis ar...
The asymptotic correlations between differently rotated solutions in exploratory factor analysis are...
This study examined the effects of under and overrotation on common factor loading stability under t...
Asymptotic standard errors of the estimates of the obliquely rotated parameters by the Harris-Kaiser...
Almost all modern rotation of factor loadings is based on optimizing a criterion, for example, the q...
Component loss functions (CLFs) are used to generalize the quartimax criterion for orthogonal rotati...
Rotated ASK-G scale factor loadings for exploratory factor analysis with Kaiser-Varimax rotations.</...
Component loss functions (CLFs) similar to those used in orthogonal rotation are introduced to defin...
Introduction: Oblique Target-rotation in the context of exploratory factor analysis is a relevant me...
Exploratory factor analysis (EFA) is commonly employed to evaluate the factor struc-ture of measures...
Formulas for the asymptotic biases of the estimators of the normal theory standard errors in factor ...
The rotation problem in factor analysis consists in finding an orthogonal transformation of the init...
This thesis which consists of four papers is concerned with estimation methods in factor analysis an...
The asymptotic standard errors of the estimates of rotated factor loadings and factor correlations a...
資料Kaiser\u27s normalization is widely used in factor rotation. In this paper the asymptotic standard...
The asymptotic correlations between differently rotated solutions in ex ploratory factor analysis ar...
The asymptotic correlations between differently rotated solutions in exploratory factor analysis are...
This study examined the effects of under and overrotation on common factor loading stability under t...
Asymptotic standard errors of the estimates of the obliquely rotated parameters by the Harris-Kaiser...
Almost all modern rotation of factor loadings is based on optimizing a criterion, for example, the q...
Component loss functions (CLFs) are used to generalize the quartimax criterion for orthogonal rotati...
Rotated ASK-G scale factor loadings for exploratory factor analysis with Kaiser-Varimax rotations.</...
Component loss functions (CLFs) similar to those used in orthogonal rotation are introduced to defin...
Introduction: Oblique Target-rotation in the context of exploratory factor analysis is a relevant me...
Exploratory factor analysis (EFA) is commonly employed to evaluate the factor struc-ture of measures...
Formulas for the asymptotic biases of the estimators of the normal theory standard errors in factor ...
The rotation problem in factor analysis consists in finding an orthogonal transformation of the init...
This thesis which consists of four papers is concerned with estimation methods in factor analysis an...