Open AccessExploratory second‐order analyses for components and factors
Author(s) -
Ogasawara Haruhiko
Publication year - 2002
Publication title -
japanese psychological research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.392
H-Index - 30
eISSN - 1468-5884
pISSN - 0021-5368
DOI - 10.1111/1468-5884.00002
Subject(s) - principal component analysis , covariance matrix , exploratory factor analysis , factor analysis , factor (programming language) , mathematics , order (exchange) , statistics , matrix (chemical analysis) , variance (accounting) , covariance , computer science , structural equation modeling , materials science , business , accounting , finance , economics , composite material , programming language
Exploratory methods using second‐order components and second‐order common factors were proposed. The second‐order components were obtained from the resolution of the correlation matrix of obliquely rotated first‐order principal components. The standard errors of the estimates of the second‐order component loadings were derived from an augmented information matrix with restrictions for the loadings and associated parameters. The second‐order factor analysis proposed was similar to the classical method in that the factor correlations among the first‐order factors were further resolved by the exploratory method of factor analysis. However, in this paper the second‐order factor loadings were estimated by the generalized least squares using the asymptotic variance‐covariance matrix for the first‐order factor correlations. The asymptotic standard errors for the estimates of the second‐order factor loadings were also derived. A numerical example was presented with simulated results.