Measuring work stressors: The role of frequency, duration, and demand

In recent years a number of authors have suggested that progress towards a better understanding of the stressor-stress relationship can only be achieved by altering the way in which work stress is investigated. One strategy is to investigate what it is we are measuring when we assess work stressors. More particularly there is a need to use rating scales that measure demand associated with work roles rather than just imply it. Dimensions such as frequency, duration, and level of demand were measured in addition to the traditional method of simply asking individuals to indicate whether they agree/disagree that stressors are present at work. The results point to the incremental increase in variance explained when these additional facets are measured over and above the variance explained by traditional methods. This result confirms the ned to develop a better understanding of the concept of demand, the difference between chronic and acute stressors, and the interaction effects of the different facets.     

The relationship between stimulus equivalence and verbal behavior

Despite the apparent similarity between stimulus equivalence and verbal behavior, these phenomena have been described in different terms. With different terminologies for each phenomenon, the precise nature of their relationship is difficult to determine. To explore this relationship, this paper first defines stimulus equivalence using a synthesis of the mathematical definition of the equivalence relation and Sidman and Tailby’s (1982) definition. Selected examples of stimulus equivalence are then described as verbal behavior using Skinner’s (1957) terminology. The paper then cites instances of verbal behavior that cannot be described as stimulus equivalence and considers whether there are instances of stimulus equivalence that cannot be described as verbal behavior.

     

Predicting the outcomes of annual sporting contests

Summary.  Data from 20 sporting contests in which the same two teams compete regularly are studied. Strong and weak symmetry requirements for possible models are identified, and some simple models are proposed and fitted to the data. The need to compute the exact likelihood function and the presence of missing values make this non-trivial. Forecasting match outcomes by using the models can give a modest improvement over a naïve forecast. Significance tests for studying the effect of 'match covariates' such as playing at home or away or winning the toss are introduced, and the effect of these covariates is in general found to be quite large.     

From dependence to interdependence: towards better outcomes for young people leaving state care

Young people leaving out of home care are arguably one of the most vulnerable and disadvantaged groups in society. Compared to most young people, they face particular difficulties in accessing educational, employment, housing and other developmental and transitional opportunities. Care leavers have been found to experience significant health, social and educational deficits including homelessness, involvement in juvenile crime and prostitution, mental and physical health problems, poor educational and employment outcomes, inadequate social support systems and early parenthood. These poor outcomes reflect a number of factors including ongoing emotional trauma resulting from experiences of abuse and neglect prior to care, inadequate support while in care, accelerated transitions to adulthood and lack of guaranteed ongoing financial and other assistance to help facilitate this transition. Young people leaving care do not currently receive the ongoing support that a good parent would be expected to provide for their children. Using relevant literature from the USA, UK and Australia, this paper examines the factors that contribute to these poor outcomes and potential policy and practice reforms that may lead to better outcomes for care leavers. Copyright © 2006 John Wiley & Sons, Ltd.     

Environmental scanning— the state of the art

In recent years increasing attention has been devoted to amplifying individual elements of corporate planning systems—among them the environmental scanning element. Moreover, the unprecendented intensification of corporate environmental complexity has led to a proliferation of approaches to scanning the general environment. However, a recent survey of a dozen U.S. companies has questioned whether such scanning practices have, in fact, been established in an ongoing manner. The author provides evidence here, based on publicly available information, of at least nine leading organizations where the practice of scanning for planning appears to have taken firm root. A discussion of the many facets of the resulting composite picture of sophisticated wide angle scanning leads to the anticipation that it is, in fact, on the threshold of rapid diffusion in the corporate world.     

Individual strategies for coping with stress at work: A review

This paper discusses some of the conceptual and methodological issues involved in the study of coping. It focuses on individual coping with work and work-related problems, and adopts a transactional framework for the definition of the key concepts of stress, appraisal and coping. It identifies and reviews 17 recent papers which are representative of the coping literature, as defined by the scope of the paper. What it draws out of this review largely concerns issues of measurement, and four particular issues are flagged as important for future research. It concludes that there is a need for more and more adequate studies, particularly in relation to the classification and modelling of coping, and that the adequacy of those future studies should be partly judged in terms of how well they deal with the issues raised here.     

Obesity-related behaviors in adolescent friendship networks

This study examines obesity-related behaviors within adolescent friendship networks, because adolescent peers have been identified as being important determinants of many health behaviors. We applied ERGM selection models for single network observations to determine if close adolescent friends engage in similar behaviors and to explore associations between behavior and popularity. Same-sex friends were found to be similar on measures of organized physical activity in two out of three school-based friendship networks. Female friends were found to engage in similar screen-based behaviors, and male friends tended to be similar in their consumption of high-calorie foods. Popularity (receiving ties) was also associated with some behaviors, although these effects were gender specific and differed across networks.     

Harnessing the Theoretical Foundations of the Exponential and Beta‐Poisson Dose‐Response Models to Quantify Parameter Uncertainty Using Markov Chain Monte Carlo

Dose‐response models are the essential link between exposure assessment and computed risk values in quantitative microbial risk assessment, yet the uncertainty that is inherent to computed risks because the dose‐response model parameters are estimated using limited epidemiological data is rarely quantified. Second‐order risk characterization approaches incorporating uncertainty in dose‐response model parameters can provide more complete information to decisionmakers by separating variability and uncertainty to quantify the uncertainty in computed risks. Therefore, the objective of this work is to develop procedures to sample from posterior distributions describing uncertainty in the parameters of exponential and beta‐Poisson dose‐response models using Bayes's theorem and Markov Chain Monte Carlo (in OpenBUGS). The theoretical origins of the beta‐Poisson dose‐response model are used to identify a decomposed version of the model that enables Bayesian analysis without the need to evaluate Kummer confluent hypergeometric functions. Herein, it is also established that the beta distribution in the beta‐Poisson dose‐response model cannot address variation among individual pathogens, criteria to validate use of the conventional approximation to the beta‐Poisson model are proposed, and simple algorithms to evaluate actual beta‐Poisson probabilities of infection are investigated. The developed MCMC procedures are applied to analysis of a case study data set, and it is demonstrated that an important region of the posterior distribution of the beta‐Poisson dose‐response model parameters is attributable to the absence of low‐dose data. This region includes beta‐Poisson models for which the conventional approximation is especially invalid and in which many beta distributions have an extreme shape with questionable plausibility.