Cross-Cultural Supervision

A multicultural perspective is essential in the twenty-first century. It is projected that by the year 2010 twelve of our most populous states will have significant minority populations. Thus, the supervision triad of patient, psychoanalyst, and supervisor will most likely contain persons of differing racial-ethnic backgrounds who are confronting problems and concerns in a diverse social environment. This paper uses examples to illustrate how this diverse triad is played out.     

Momentum and the growth-free segment of a population

In the scenario of a sudden drop in fertility to replacement level. Preston (1986) argued that the population segment under age T, the length of generation, remained growth-free. Here we first present a new relationship for the momentum of any observed population as the ratio of 1) the proportion of the observed population under the mean age at childbearing to 2) the proportion of its life table population under that mean age. We then use that relationship to demonstrate Preston's approximation. Growth factors for other population segments are also presented. When the initial population is stable, momentum can be approximated as a function of the net reproduction rate alone.     

Structure and accountability a study of national nonprofit associations

In the 1990s, the integrity and performance of nonprofit organizations in the United States have come increasingly under attack, and there are new calls to hold nonprofit organizations more accountable for their behavior and performance. This article reports on a study of the organizational structures of national nonprofit associations and asks how these umbrella organizations can help to self-regulate the sector through appropriate checks and balances between the national organization and local affiliates. The authors identify a number of differences in how associations with alternative structures hold local affiliates and national organizations responsible for their performances, and they conclude that structure is an avenue of self-regulation for nonprofit organizations deserving further attention.     

MAXIMUM LIKELIHOOD ESTIMATION FOR A POISSON RATE PARAMETER WITH MISCLASSIFIED COUNTS

This paper proposes a Poisson‐based model that uses both error‐free data and error‐prone data subject to misclassification in the form of false‐negative and false‐positive counts. It derives maximum likelihood estimators (MLEs) for the Poisson rate parameter and the two misclassification parameters — the false‐negative parameter and the false‐positive parameter. It also derives expressions for the information matrix and the asymptotic variances of the MLE for the rate parameter, the MLE for the false‐positive parameter, and the MLE for the false‐negative parameter. Using these expressions the paper analyses the value of the fallible data. It studies characteristics of the new double‐sampling rate estimator via a simulation experiment and applies the new MLE estimators and confidence intervals to a real dataset.     

Penalized likelihood regression: General formulation and efficient approximation

The authors consider a formulation of penalized likelihood regression that is sufficiently general to cover canonical and noncanonical links for exponential families as well as accelerated life models with censored survival data. They present an asymptotic analysis of convergence rates to justify a simple approach to the lower‐dimensional approximation of the estimates. Such an approximation allows for much faster numerical calculation, paving the way to the development of algorithms that scale well with large data sets.