In factor analysis, due to the indeterminacy of factor solutions, in order to obtain the factors which can satisfy the so-called 'simple structure', the factor matrix often undergoes various rotations accordin...In factor analysis, due to the indeterminacy of factor solutions, in order to obtain the factors which can satisfy the so-called 'simple structure', the factor matrix often undergoes various rotations according to different criterion. In the case of orthogonal factor solutions, 'simple structure' implies that an objective matrix is a simple structured sparse matrix. In this matrix, many of the elements would near 0 while others would near ±1. For this purpose, the Varimax and Quartimax criteria have been proposed. However, a more flexible and simple method is that the variables in展开更多
文摘In factor analysis, due to the indeterminacy of factor solutions, in order to obtain the factors which can satisfy the so-called 'simple structure', the factor matrix often undergoes various rotations according to different criterion. In the case of orthogonal factor solutions, 'simple structure' implies that an objective matrix is a simple structured sparse matrix. In this matrix, many of the elements would near 0 while others would near ±1. For this purpose, the Varimax and Quartimax criteria have been proposed. However, a more flexible and simple method is that the variables in
