Social Work Administration: Principles and Practices,Harleigh B. Trecker. New York: Association Press, 1971. 287 Pages, $9.95 Hardbound

Abstract

This paper reviews graduate applications/admissions data for 1975–84, and shows that as applications have decreased, the acceptance rate has increased. Referring to the NASW Code of Ethics, the paper suggests this trend raises a number of ethical issues with which the field should be concerned. Traditional alternatives to liberalized admissions are also reviewed and their perceived efficacy is examined. It is suggested that hold-harmless strategies are insufficient to counteract the societal trends which adversely affect graduate social work education and, further, that the field must begin to proactively plan for fewer, or at least smaller, graduate programs.     

When Adoption Is Not an Option: Counseling Implications Related to Surrogacy

Through the author's personal story, this article details a case in which traditional conception and adoption were not options available for starting a family. It gives the author's rational for choosing surrogacy and describes his experience with surrogacy. This article provides an overview of the surrogacy process and concludes with implications counselors may consider and apply to their clinical practice.     

On the robustness of the extreme deviate test for a single multivariate outlier against heavy-tailed distributions

In this paper we assess the sensitivity of the multivariate extreme deviate test for a single multivariate outlier to non-normality in the form of heavy tails. We find that the empirical significance levels can be markedly affected by even modest departures from multivariate normality. The effects are particularly severe when the sample size is large relative to the dimension. Finally, by way of example we demonstrate that certain graphical techniques may prove useful in identifying the source of rejection for the multivariate extreme deviate test.     

Generation of multivariate distributions by vertical density representation

Troutt (1991,1993) proposed the idea of the vertical density representation (VDR) based on Box-Millar method. Kotz, Fang and Liang (1997) provided a systematic study on the multivariate vertical density representation (MVDR). Suppose that we want to generate a random vector X[d]Rⁿthat has a density function ?(x). The key point of using the MVDR is to generate the uniform distribution on [D]_?(v) = {x :?(x) = v} for any v > 0 which is the surface in RⁿIn this paper we use the conditional distribution method to generate the uniform distribution on a domain or on some surface and based on it we proposed an alternative version of the MVDR(type 2 MVDR), by which one can transfer the problem of generating a random vector X with given density f to one of generating (X, X_n+i) that follows the uniform distribution on a region in Rⁿ⁺¹defined by ?. Several examples indicate that the proposed method is quite practical.     

On a Relation between Principal Components and Regression Analysis

A regression approach to principal component analysis is presented in this note. We provide an alternative interpretation of principal components that illustrates the relation between the extra sum of squares in regression analysis and the eigenvalues associated with the principal components.