Perception of Parental Reciprocity Scale (POPRS): Development and Validation with Adolescents and Young Adults

The present paper describes the development of a new scale, the Perception of Parental Reciprocity Scale (POPRS), and research findings obtained with this instrument. Based on Youniss' (1980) theory, this scale assesses the extent of perceived mutual reciprocity in adolescents'/young adults' relations with their parents. An initial pool of 51 items was administered to 141 unmarried undergraduates along with measures of self-esteem, locus of control, and consultant choice to indicate construct validity. Item analyses and reliability procedures produced a 43-item scale. A second study of 1602 students between the ages of 13 and 25 examined further issues: cross-replication, cross-validation, reliability with young adolescents, reliability over time, criterion and construct validity, and age-related differences in scores. In addition to POPRS and the scales used in Study 1, measures included three global statements, attachment to parents, attitude to private personal authority, and scores on an open-ended interview. Results from both studies demonstrated high reliability, and construct and criterion validity. Furthermore, a significant age effect supports Youniss' theory of a developmental transformation in parent-child relations beginning in late adolescence and continuing in early adulthood.     

Improving Scientists'Judgments of Risk

Scientists disagree in their risk analyses because they use intuitive judgments to generalize results from the laboratory to circumstances not yet studied. If this assertion is correct, techniques intended to reduce intuitive judgments and increase analytical cognition should reduce scientific dispute. The results of a test case involving allegedly high risk and sharp dispute among scientists are described.     

The effect of unequal priors and unequal misclassification costs on MDA

Multiple discriminant analysis (MDA) is a frequently used statistical technique. Although the dependence of this technique on the underlying assumptions concerning population priors and misclassification costs is well known, the assumption most often made by researchers is that both population priors and misclassification costs are equal. The purpose of this paper is to demonstrate the magnitude of the effect of these assumptions on statistical results. In the savings and loan case used here, the population priors are known:however, the relative misclassification costs are not. To test the sensitivity of the results to the unknown misclassification costs several different misclassification cost assumptions are used.     

Estimation of Human Reproductive Risk from Animal Studies: Determination of Interspecies Extrapolation Factors for Steroid Hormone Effects on the Male

The problem of extrapolating effects of reproductive toxins on experimental animals to predict the doses that would produce infertility in human males is discussed using published data on effects of testosterone and estradiol on sperm production in the rat, rabbit, rhesus monkey, ram, stallion, and humans. This analysis indicates that calculation of the dose of testosterone that reduces human sperm counts by a given percentage is best done using the dose administered to laboratory animals expressed on the basis of body weight, as opposed to some other parameter such as body surface area. A survey of the available data in the literature indicates the incompleteness of the data set and the specific information needed to improve the basis for extrapolation. Nevertheless, we can predict from studies on laboratory animals the dose of testosterone necessary to reduce sperm counts in humans within a factor of 2.     

Disaster and response:science, systems and realities

The Indian Ocean Tsunami of December 2004 was one of the most significant natural disasters in modern history. The response that it drew was unprecedented at both local and international levels. While a range of specific impacts and losses may be predicted within the affected populations, there is substantial evidence that adverse impacts upon mental health may represent one of the most significant outcomes of such events. People from poorer countries are disproportionately exposed to such emergencies and may experience greater psychosocial burden in the aftermath, as well as a range of adaptations. This raises important questions regarding the current capacity of response agencies to mitigate negative impacts but also concerning the cultural context in which such mental health effects are defined. It also calls into question whether "indicated" interventions are both realistic and ecologically valid in non-Western settings. The science of Disaster Mental Health is a relatively new field, currently engaged in a number of such debates. However, there is some emerging consensus about what constitutes good public mental health practice throughout the phases of emergency response and across diverse cultural settings. Existing data and practice guidelines provide frameworks that may be adapted to allow health and recovery workers to identify and reduce mental health morbidity, support healing and harness the agency of those affected for the recovery process.     

On the concept of maximum mobility

Techniques for the construction of alternative extrema from a given transition matrix, such as an intergenerational occupational mobility matrix, are displayed. Linear programming is used to construct alternative ‘maximum’ mobility regimes by altering constraints. Within certain constraints the solution for the maximum mobility matrix is not unique, since there exist a very large number of equally valid solutions. An algorithmic procedure is presented which produces a unique solution and gives results equivalent to a specific case of the linear programming method.