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.     

The weight of the rich: improving surveys using tax data

The Journal of Economic Inequality - Household surveys often fail to capture the top tail of income and wealth distributions, as evidenced by studies based on tax data. Yet to date there is no...     

The Identification of Behaviour Disorder within the Community

In the absence of a clinical definition of Behaviour Disorder, those termed ‘Behaviourally Disordered’ are often considered unsuitable for psychiatric servicing and many end up inappropriately contained by the correctional system. The working definitions of 213 South Australian health and welfare professionals from six client areas (child/adolescent, psychiatric, intellectually disabled, brain-damaged, correctional and general) were surveyed. Respondents generally saw Behaviour Disorder as a recognisable disorder, involving both aggressive, disruptive behaviour and deficits in social adaptation. Perceptions of its presentation varied across client groups and across professional roles. The results highlighted a need for specialised community servicing for this group.     

Three-stage designs for monitoring clinical trials

Optimal three-stage designs with equal sample sizes at each stage are presented and compared to fixed sample designs, fully sequential designs, designs restricted to use the fixed sample critical value at the final stage, and to modifications of other group sequential designs previously proposed in the literature. Typically, the greatest savings realized with interim analyses are obtained by the first interim look. More than 50% of the savings possible with a fully sequential design can be realized with a simple two-stage design. Three-stage designs can realize as much as 75% of the possible savings. Without much loss in efficiency, the designs can be modified so that the critical value at the final stage equals the usual fixed sample value while maintaining the overall level of significance, alleviating some potential confusion should a final stage be necessary. Some common group sequential designs, modified to allow early acceptance of the null hypothesis, are shown to be nearly optimal in some settings while performing poorly in others. An example is given to illustrate the use of several three-stage plans in the design of clinical trials.