Coverage plots for assessing the variability of estimated contours of a density

Methods for assessing the variability of an estimated contour of a density are discussed. A new method called the coverage plot is proposed. Techniques including sectioning and bootstrap techniques are compared for a particular problem which arises in Monte Carlo simulation approaches to estimating the spatial distribution of risk in the operation of weapons firing ranges. It is found that, for computational reasons, the sectioning procedure outperforms the bootstrap for this problem. The roles of bias and sample size are also seen in the examples shown.     

GAPS between MFT supervision assumptions and common practice: suggested best practices

This article summarizes gaps between assumptions that appear in the literature, research, and accepted standards for marital and family therapy (MFT) supervision, and the common practice of supervisors. Issues that stem from these gaps are highlighted and recommendations are made for closing them. In an effort to refine the standard of practice for MFT supervision, best practice recommendations are offered for MFT supervision.     

The Correspondence Between Fertility Intentions and Behavior in the United States

Using data from the 1979 National Longitudinal Survey of Youth, we describe the correspondence between intended family size and observed fertility for US men and women in the 1957–64 birth cohorts. Mean fertility intentions calculated from reports given in the mid‐20s modestly overstate completed fertility. But discrepancies between stated intent and actual fertility are common—the stated intent at age 24 (for both women and men) is more likely to miss than to match completed fertility. We focus on factors that predict which women and men will have fewer or more children than intended. Consistent with life‐course arguments, those unmarried, childless, or (for women) still in school at approximately age 24 were most likely to underachieve their intended parity (i.e., had fewer children than intended at age 24). We discuss how such discrepancies between intentions and behavior may cumulate to produce sizable cross‐group fertility differences.     

An Examination of the Relationship Between Gambling and Antisocial Behavior

Problem gambling is significantly more prevalent in forensic populations than in the general population. Although some previous work suggests that gambling and antisocial behavior are related, the extent and nature of this relationship is unclear. Both gambling and antisocial behavior are forms of risk-taking, and may therefore share common determinants. We investigated whether individual differences in personality traits associated with risk-taking, the Big Five personality traits, and antisocial tendencies predicted gambling and antisocial behavior among 180 male students recruited for a study of gambling (35.0% non-problem gamblers, 36.7% low-risk gamblers, 21.7% problem gamblers, and 6.7% pathological gamblers). All forms of gambling and antisocial behavior were significantly correlated. Personality traits associated with risk-acceptance explained a significant portion of the variance in problem gambling, general gambling involvement, and all forms of antisocial behavior. Antisocial tendencies (aggression and psychopathic tendencies) explained a significant portion of additional variance in severe antisocial behavior but not moderate or minor antisocial behavior. When controlling for personality traits associated with risk-acceptance, the relationship between gambling and antisocial behavior was greatly diminished. The results are consistent with the hypothesis that gambling and antisocial behavior are associated because they are, in part, different manifestations of similar personality traits.     

E-optimal designs for three treatments

E-optimality is studied for three treatments in an arbitrary n-way heterogeneity setting. In some cases maximal trace designs cannot be E-optimal. When there is more than one E-optimal design for a given setting, the best with respect to all reasonable criteria is determined.     

A new mixture model for capture heterogeneity

Summary.  We propose a mixture of binomial and beta–binomial distributions for estimating the size of closed populations. The new mixture model is applied to several real capture–recapture data sets and is shown to provide a convenient, objective framework for model selection. The new model is compared with three alternative models in a simulation study, and the results shed light on the general performance of models in this area. The new model provides a robust flexible analysis, which automatically deals with small capture probabilities.