PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
September 1, 1981Psychometrika41 citations

Constrained Least Squares Estimators of Oblique Common Factors

View Full Paper
RMRoderick P. McDonald

Key Points

Key points are not available for this paper at this time.

Abstract

An expression is given for weighted least squares estimators of oblique common factors, constrained to have the same covariance matrix as the factors they estimate. It is shown that if as in exploratory factor analysis, the common factors are obtained by oblique transformation from the Lawley-Rao basis, the constrained estimators are given by the same transformation. Finally a proof of uniqueness is given.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Roderick P. McDonald (1981) studied this question.

synapsesocial.com/papers/6a125bb4f7bd4f5c7da62ce8https://doi.org/10.1007/bf02293740
Ask AI
Helpful
Bookmark
Share
View Full Paper