Contributions to factor analysis of dichotomous variables
Received: 02 May 1977 Revised: 26 April 1978 DOI:
Cite this article as: Muthén, B. Psychometrika (1978) 43: 551. doi:10.1007/BF02293813 Abstract
A new method is proposed for the factor analysis of dichotomous variables. Similar to the method of Christoffersson this uses information from the first and second order proportions to fit a multiple factor model. Through a transformation into a new set of sample characteristics, the estimation is considerably simplified. A generalized least-squares estimator is proposed, which asymptotically is as efficient as the corresponding estimator of Christoffersson, but which demands less computing time.
Key words multiple factor model first and second order proportions generalized least-squares tetrachoric correlations
This research was supported by the Bank of Sweden Tercentenary Foundation under project “Structural Equation Models in the Social Sciences”, project director Karl G. Jöreskog.
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© Psychometric Society 1978