An Application of Factor Analysis with Missing Data

Abstract
Factor analysis is a powerful method for the analysis of data that can be classified in two ways, but it can only be applied to complete data matrices. An iterative method is described that makes possible its application to incomplete data sets, and an example is given of its successful application to a case where about half of the data is missing.

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