Published online by Cambridge University Press: 01 January 2025
The association structure between manifest variables arising from the single-factor model is investigated using partial correlations. The additional insights to the practitioner provided by partial correlations for detecting a single-factor model are discussed. The parameter space for the partial correlations is presented, as are the patterns of signs in a matrix containing the partial correlations that are not compatible with a single-factor model.
The research of the first author was supported by the Fundaçāo para a Ciência e a Tecnologia and by the Southampton Statistical Sciences Research Institute.
The authors thank the Editor, the Associate Editor and three Reviewers for their constructive comments which helped to improve the paper.