Using a multiple regression analysis with dummy variables, the factors which influence the earnings of college men were examined and found to be positively correlated to the rank of colleges where degrees were received. College quality, age, field of specialization, level of degree, and race were all significant factors. (BC)

A study of therapists' case histories indicates that a good therapist is successful in everything that he does, both in and outside his vocational field. (CK)

Research supported by the Office of Naval Research under Contract, NOOO 14-67-A-0305-0012.

Bounds for the multiple correlation of common factors with the items which comprise those factors are developed. It is then shown that under broad, but not completely general, conditions, the circumstances under which an infinite item domain does or does not perfectly determine selected subsets of its common factors. (Author/JKS)

In a LISREL-IV analysis, a method of specifying a priori the variances of the latent variables for interpretability is demonstrated. The potential confusion of the metric of the latent variables is discussed, since many of the parameter estimates are a function of the metric. (Author/CM)

Simple modifications of principal component methods are described that have distinct advantages for structural analysis of relations among educational and psychological variables. The methods are contrasted theoretically and empirically with conventional principal component methods and with maximum likelihood factor analysis. (Author/GK)

The perfunctory use of factor scores in conjunction with regression analysis is inappropriate for many purposes. It is suggested that factoring methods are most suitable for independent variable sets when some consideration has been given to the nature of the domain, which is implied by the predictors. (Author/BW)

Presents a factor analytic study of the nine New York Longitudinal Study's (NYLS) temperament variables in a sample of 160 Swedish children from six months to two years of age. Asserts that results corroborated some of the NYLS's findings as well as those of other studies. (Author/MJL)

Canonical correlation and redundancy analysis are two approaches to analyzing the interrelationships between two sets of measurements made on the same variables. A component method is presented which uses aspects of both approaches. An empirical example is also presented. (Author/JKS)

In Korth and Tucker (EJ 131 795), the matrices T1 and T2 are defined as transformations for matching two factor patterns in a common space. Contrary to the statement of this article, however, T1 and T2 are not the matrices of eigenvectors from the matrices in (1) and (2) of the article. (Author/CTM)