Based on the conceptualization that social desirable bias (SDB) is a discrete event resulting from an interaction between a scale's items, the testing situation, and the respondent's latent trait on a social desirability factor, we present a method that makes use of factor mixture models to identify which examinees are most likely to provide…

Order analysis, a technique to isolate unidimensional hierarchies representing multidimensional structure of binary data, is reviewed. Several theoretical flaws inherent in the probalistic version are presented. Suggestions of possible directions for future research are offered. (Author)

A study concluding that the Wechsler Adult Intelligence Scale (Revised) (WAIS-R) has three clear factors in its structure is critiqued. An alternative factor comparison technique, FACTOREP, is used with identical data. It is demonstrated that the WAIS-R has only two strong factors--verbal comprehension and perceptual organization. (TJH)

This article proposes and describes factor-analytic procedures for assessing and controlling socially desirable responding in binary personality items. The basic procedures are applications of the restricted (confirmatory) item factor analysis model for ordered-categorical variables. Orthogonal and oblique solutions based on marker variables are…

Factor structure underlying responses to the 373-item MMPI was found to be essentially identical to the factor structure previously defined from analysis of intercorrelations among the first 168 items. (Author)

Three methods were used to test the factor structure of the Eysenck Personality Inventory administered to 583 Australians. The preferred method was to extract factors by the minimum residual method, use the Tandem Criteria Method, and then rotate that number of factors by the Tandem Criteria I method. (SLD)

The present study compares the performance of phi coefficients and tetrachorics along two dimensions of factor recovery in binary data. These dimensions are (1) accuracy of nontrivial factor identifications; and (2) factor structure recovery given a priori knowledge of the correct number of factors to rotate. (Author/LMO)

A three subscale inventory designed by Fenigstein, Scheier, and Buss to measure self-consciousness was administered to 297 college students. Fenigstein et al.'s representation was found to fit the data in its original form. Items on the subscales differ nearly as much statistically as they do substantively. (Author/LMO)

Hierarchical cluster analysis is shown to be an effective method for forming scales from sets of items. Comparisons with factor analytic techniques suggest that hierarchical analysis is superior in some respects for scale construction. (Author/JKS)