Policy lessons for strengthening nonprofits

Those who develop or influence Australian public policy impacting on the nonprofit sector rarely have adequate empirical research upon which to base their judgments. Giving Australia research evidence relevant to strengthening giving and volunteering is brought together in this article to inform policy options for government, nonprofit and philanthropic entities. It begins with consideration of research findings related to the capacity of those that give or volunteer and the implications these findings have for policy. Three key criteria are developed for assessing policies to strengthening giving and volunteering, behaviours that primarily assist nonprofit organisations – policies that build trust between those that give and the recipients of their gifts, policies that strengthen affiliation and policies that encourage planned giving.     

Is Autism a Preventable Disorder of Verbal Behavior? A Response to Five Commentaries

The Analysis of Verbal Behavior - This paper presents a response to five commentaries on our article An Analysis of Autism as a Contingency-Shaped Disorder of Verbal Behavior (Drash &...     

Fertility and economic activity of women in Guatemala city, 1964

Data from a five percent census sample reveal that in Guatemala City in 1964 economically active women, especially domestic servants, had lower cumulative fertility than inactive women, partly because larger proportions of them had never married and were childless. However, even among ever married mothers there was a substantial differential, which was not due to differences in age at first birth. With respect to all women, cross tabulation and regression analysis show that age, marital status and educational attainment were more strongly associated with fertility than was activity status, but the latter also had a significant net association. Selection for sterility was not likely. Being contrary to expectations expressed in the literature, the very low fertility of the domestics received further attention. Live-in domestics had considerably lower fertility than those who lived out, which was also the case in the United States in 1960. These data and other evidence strongly suggest that this differential is due to a widespread employer preference for single or childless women. The concept of role incompatibility is therefore inapplicable to domestic servants. These findings add to the considerable evidence showing lower fertility among economically active women in large urban places in Latin America.     

A test of Wheeler’s closed-offer arbitration system: An experimental study

This study investigates the impact of two alternative forms of arbitration — conventional arbitration and final-offer arbitration — and whether or not prearbitration bargaining information is available to the arbitrator on negotiation behavior and outcomes. Contrary to Wheeler’s prediction, participants anticipating closed-offer arbitration neither conceded more nor reached more settlements than did participants anticipating open-offer arbitration. Participants anticipating final-offer arbitration made a greater final concession than did participants anticipating conventional arbitration.     

Countertransference issues for the consultant when a colleague is critically ill (or dying)

This report illustrates how countertransference issues emerged for a consultant therapist whose guidance about practice was sought by an ill and dying colleague. The detechment necessary for consultation was difficult to maintain. Denial, avoidance, and isolation operated for both. Ambivalence about directive behavior developed. Unexpressed grief, shock, feelings of inadequacy, and identification with the colleague intruted but were managed. The occurrence of such countertransference phenomena can be anticipated and understood in a consultation process that represents one valuable, underutilized, and important means of encouraging quality clinical practice under extremely painful circumstances.     

Frailty models for survival data

A frailty model is a random effects model for time variables, where the random effect (the frailty) has a multiplicative effect on the hazard. It can be used for univariate (independent) failure times, i.e. to describe the influence of unobserved covariates in a proportional hazards model. More interesting, however, is to consider multivariate (dependent) failure times generated as conditionally independent times given the frailty. This approach can be used both for survival times for individuals, like twins or family members, and for repeated events for the same individual. The standard assumption is to use a gamma distribution for the frailty, but this is a restriction that implies that the dependence is most important for late events. More generally, the distribution can be stable, inverse Gaussian, or follow a power variance function exponential family. Theoretically, large differences are seen between the choices. In practice, using the largest model makes it possible to allow for more general dependence structures, without making the formulas too complicated.This paper is a revised version of a review, which together with ten papers by the author made up a thesis for a Doctor of Science degree at the University of Copenhagen.