OPTIMIZING THE RESOLUTION BETWEEN SALIENT AND NON‐SALIENT FACTOR PATTERN COEFFICIENTS

doi:10.1111/j.2044-8317.1972.tb00494.x

OPTIMIZING THE RESOLUTION BETWEEN SALIENT AND NON‐SALIENT FACTOR PATTERN COEFFICIENTS

2011-08-04

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DOI：10.1111/j.2044-8317.1972.tb00494.x

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Oblique and orthogonal transformational techniques are developed, for both exploratory and confirmatory factor analytic applications, that allow the investigator to maximize, for each factor, the distance between the mean square of the factor pattern coefficients of the salient variables for that factor and that of the coefficients of the non‐salient variables. The saliency of each variable may be determined either a priori or empirically. Specific computing procedures are presented—including methods for differentially weighting the factors and variables—and are illustrated by their application to several well‐known data sets. Implications for practice are discussed.

OPTIMIZING THE RESOLUTION BETWEEN SALIENT AND NON‐SALIENT FACTOR PATTERN COEFFICIENTS

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