Prognostic signs for the pastoral counselor from the life of Christ

Summary In this paper I have suggested examples of character traits in persons Jesus tells us about, or whom he dealt with, which can serve as suggestive material in determining the prognosis of persons either in or contemplating pastoral counseling. Among these I have given: first, the ability of a person to reach out, still trying to become life-related or to maintain the relations which he has already established; second, the capacity of the person for relationship, his being able to have feeling, interest, or concern for others, or reality beyond himself; and, third, I have indicated the idea of a person's being able to look at himself in an objective sense, not merely needing to live a defensive life, guardedly protecting his ego as though it could not tolerate any kind of a critical approach. In these concepts of self I believe we have the basic questions regarding the person's success or failure in the process of pastoral counseling.     

On testing hypotheses regarding a class of covariance structures

Let x be ap-component random variable having a multivariate normal distribution with covariance matrix . In this paper, we consider the problem of testing hypotheses of the formH ₀: =b ₁₁ + +b _{m m} , whereb _i 's are unknown scalars, and _i 's are a set of known and simultaneously diagonalizable matrices. This problem has both psychometric and statistical interest, and its basic theory is developed here. Besides, the problem of obtaining likelihood-ratio statistic for testingH ₀ is studied, and the statistic obtained in a special case.     

NOTE ON THE DOUBLE CENTERING OF DICHOTOMIZED MATRICES

A method is described for the double centering of dichotomized score matrices. It is based on a modification of the r _s coefficient of Guilford in which a second set of values, based on the reversed scoring of the original set, is used. A comparison of indices from matrices centered in such a manner, with some coefficients customarily obtained from score matrices, is presented.