Methodological study demonstrates a faster generalized least-squares estimator for dichotomous factor analysis, indicating improved computational efficiency without losing statistical precision.
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.
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Bengt Muthén (1978) studied this question.
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