Abstract
In the last decade several algorithms for computing the greatest lower bound to reliability or the constrained minimum-trace communality solution in factor analysis have been developed. In this paper convergence properties of these methods are examined. Instead of using Lagrange multipliers a new theorem is applied that gives a sufficient condition for a symmetric matrix to be Gramian. Whereas computational pitfalls for two methods suggested by Woodhouse and Jackson can be constructed it is shown that a slightly modified version of one method suggested by Bentler and Woodward can safely be applied to any set of data. A uniqueness proof for the solution desired is offered.
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The authors are obliged to Charles Lewis and Dirk Knol for helpful comments, and to Frank Brokken and Henk Camstra for developing computer programs.
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ten Berge, J.M.F., Snijders, T.A.B. & Zegers, F.E. Computational aspects of the greatest lower bound to the reliability and constrained minimum trace factor analysis. Psychometrika 46, 201–213 (1981). https://doi.org/10.1007/BF02293900
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DOI: https://doi.org/10.1007/BF02293900