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This research addresses the challenges posed by large variable and subject numbers in factor and cluster analyses.

Unrestricted Cluster And Factor Analysis, With Applications To The MMPI And Holzinger-Harman Problems

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This research addresses the challenges posed by large variable and subject numbers in factor and cluster analyses.
Random samples are drawn from the total set for manageable analyses.
Structures are computed using existing BC TRY programs.
New BC TRY programs are utilized to combine the structures from different samples.
Efficient estimation of the overall structure from computed samples is demonstrated.
Examples of complete analyses in two studies are provided to illustrate the methodology.

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Randomized analyses uncover variable structures in manageable samples, suggesting effective approaches for large datasets.

Robert C. Tryon (1966) studied this question.

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