Seat belt laws: why we should keep them

In the June 2007 issue of Significance , John Adams argued for the repeal of seat belt laws. They have never been demonstrated to save lives, he said; and they increase the number of pedestrians and cyclists killed on the roads. Richard Allsop, Oliver Carsten, Andrew Evans and Robert Gifford argue that Parliament should keep the seat belt laws on the statute book and that we should all keep wearing belts whenever we travel in a car, van or coach—and they contest John's statistics.     

Should I Stay or Should I Go? Explaining Turnover Intentions with Organizational Identification and Job Satisfaction*

The social identity approach is a powerful theoretical framework for the understanding of individuals' behaviour. The main argument is that individuals think and act on behalf of the group they belong to because this group membership adds to their social identity, which partly determines one's self‐esteem. In the organizational world, social identity and self‐categorization theories state that a strong organizational identification is associated with low turnover intentions. Because identification is the more general perception of shared fate between employee and organization, we propose that the relationship between identification and turnover will be mediated by job satisfaction as the more specific evaluation of one's task and working conditions. In four samples we found organizational identification feeding into job satisfaction, which in turn predicts turnover intentions.     

Informality and Employment Relationships in Small Firms: Humour,Ambiguity and Straight‐talking

This paper presents in‐depth qualitative research on three small professional service firms whose owner‐managers sought to introduce greater degrees of formality in their firms’ working practices and employment relationships. We focus on humour as an ambiguous medium of informality, yet viewed by owner‐managers as a tool at their disposal. However, while early studies of humour in small and medium‐sized enterprises support such a functionalist view, our findings indicate its significant limitations. We argue that humour obscures but does not resolve disjunctive interests and it remains stubbornly ambiguous and resistant to attempts to functionalize it. Our findings contribute to studies of humour in small and medium‐sized enterprises by challenging its utility as a means of managerial control or employee resistance. They also contribute to studies of employment relationships by exploring humour's potentially disruptive influence within the formality–informality span, especially as small and medium‐sized enterprises seek greater degrees of formalization, with implications for how those relationships are conducted and (re)negotiated on an ongoing basis.     

Antecendents and effects of decision comprehensiveness: The role of decision quality and perceived uncertainty

On the basis of a sample of 184 top executives, we investigated the roles of decision quality and perceived uncertainty in the relationship between decision comprehensiveness and performance. Our results show that decision quality mediates a large proportion of the comprehensiveness–performance relationship and may thus provide a more proximate outcome measure of the effect of comprehensiveness. In addition, we found that perceived uncertainty directly affects the level of comprehensiveness in organizations rather than moderating its effect on performance as conceptualized by previous research. Based on the integration of behavioral and information processing theories we suggest that more process-oriented measures such as decision quality and perceived uncertainty may overcome conflicting empirical results in the field.     

Nonparametric regression estimation at design poles and zeros

ABSTRACT In most treatments of nonparametric regression, it is assumed that the marginal density of the explanatory variables is strictly bounded away from zero and infinity. This note investigates the pointwise asymptotics for nonparametric regression when this assumption fails, that is, the marginal density of the explanatory variable has either an isolated zero or a pole at the point of interest.     

Cognitive therapy and behavioural coping in the management of work-related stress: An intervention study

Transactional models of stress emphasize the importance of cognitive appraisal of potential stressors in the determination of the stress response. This appraisal can be modified by the use of techniques normally associated with cognitive therapy. The contribution of a specifically cognitive component when intervening in work-related stress has not been well evaluated to date. This research seeks to determine the effectiveness of stress management training in the treatment of the work-related effects of stress by comparing the role of modifying dysfunctional cognitions with the teaching of appropriate behavioural coping strategies. Participants were allocated to one of two intervention conditions or to a waiting list control group. Those in the intervention conditions received group stress management either with the focus on delivering cognitive therapy techniques or with the focus on behavioural coping skills. Measures of general health were taken at the beginning and end of intervention and at 3-month follow-up. Participants in the cognitive therapy groups who were reporting symptoms of general ill-health at the start of the intervention showed a significant improvement at follow-up. Cognitive therapy appears to have been an effective intervention in work-related stress. Those in the behavioural group showed a smaller but still clinically effective improvement. Results are discussed in terms of methodological issues and implications for future research. It is suggested that changes in cognitive appraisal may need to be developed.     

Bayesian Forecasting With Stable Seasonal Patterns

A multiplicative seasonal forecasting model for cumulative events in which, conditional on end- of-season totals being given and seasonal shape being known, it is shown that events occurring within the season are multinomially distributed is presented. The model uses the information contained in the arrival of new events to obtain a posterior distribution for end-of-season totals. Bayesian forecasts are obtained recursively in two stages: first, by predicting the expected number and variance of event counts in future intervals within the remaining season, and then by predicting revised means and variances for end-of-season totals based on the most recent forecast error.