News: University prizes

Abstract

Stressful working environments are often assumed to create conditions that may lead to bullying. However, few studies have investigated how factors experienced in the work environment may trigger perpetrators to engage in bullying of others. Drawing on Spector and Fox's (2005) stressor–emotion model of counterproductive work behaviour, the present study investigated the predictive effects of both individual and situational factors as predictors of being a perpetrator of workplace bullying, as applied to a representative sample of the Norwegian workforce (N=2359). Results from logistic regression analysis show that being oneself a target of bullying, regardless of the frequency, and being male strongly predicted involvement in bullying of others. Among the situational factors, only role conflict and interpersonal conflicts significantly predicted being a perpetrator of bullying. The present findings support the notion that bullying will thrive in stressful working environments and thus yield an important contribution in identifying antecedent conditions to counteract the development of bullying at workplaces.     

Job characteristics as predictors of ill-health and sickness absenteeism in different occupational types--a multigroup structural equation modelling approach

The objective of the present study was to test for multigroup invariance in measurement models and structural models between job characteristics, psychosocial intervening variables, health outcomes and sickness absenteeism. Four types of occupation were represented in the study: blue-collar workers ( n = 241), white-collar workers ( n = 209), elderly-care workers ( n = 338) and child-care workers ( n = 336). A first-order, six-factor multigroup confirmatory factor analysis model (i.e. measurement model) composed of two perceived job characteristics ( job autonomy and skill discretion), appraised workload, job satisfaction, stress-related ill-health and sickness absenteeism provided a good model fit. Invariance tests showed that the six-factor model fits well for all occupations. A partially recursive mediated multigroup structural model showed both similarities and differences across occupations as regards the relationships between independent latent variables ( job autonomy, skill discretion), intervening latent variables (appraised workload, job satisfaction) and dependent latent variables (stressrelated ill-health, sickness absenteeism). By comparing a generic model with occupation-specific models across occupations, this study showed that occupation-specific models were more plausible. The results indicate that it is important to examine different occupational contexts in detail to better understand how certain psychosocial factors at work influence strain in different occupations. Since job characteristics can potentially be amended, the findings have important implications for the differentiation of prevention and intervention in different occupations.     

Economic and social leader–member exchange relationships and follower performance

This exploratory study investigated the link between economic and social leader–member exchange relationships and follower work performance and organizational citizenship behavior. Instead of viewing exchange relationships between leaders and subordinates on a continuum from low to high quality, we conceptualize social and economic exchange relationships as relationships with different qualities, rather than different levels of quality. Data from 552 followers and 78 leaders supported our two-dimensional model of leader–member exchange relationships. Furthermore, an economic leader–member exchange relationship was negatively related to both work performance and organizational citizenship behavior. As expected, positive relationships were obtained for a social leader–member exchange relationship and work performance and organizational citizenship behavior. Implications for practice and future research are discussed.     

Comparing customer satisfaction across industries and countries

Although aggregate satisfaction measures continue to proliferate, their value in making broad-based comparisons remains unclear. This study uses arguments from the economics, psychology, sociology and marketing domains to predict systematic differences in aggregate customer satisfaction across both industries and countries. These predictions are tested using a database created from three broad-based national satisfaction surveys in Sweden, Germany and the United States. The results reveal that, across countries, satisfaction is highest for competitive products, lower for competitive services and retailers, and lower still for government and public agencies. However, the differences vary by country. Satisfaction is also predictably lower in Sweden and Germany compared to the US, and shown to change systematically in Sweden over time. Methodological differences do not appear to limit the comparability of the aggregate satisfaction measures. Overall the study supports the use of national indices for making meaningful comparisons of satisfaction on a broad scale.     

The Muscatine children's obesity data reanalysed using pattern mixture models

A set of longitudinal binary, partially incomplete, data on obesity among children in the USA is reanalysed. The multivariate Bernoulli distribution is parameterized by the univariate marginal probabilities and dependence ratios of all orders, which together support maximum likelihood inference. The temporal association of obesity is strong and complex but stationary. We fit a saturated model for the distribution of response patterns and find that non-response is missing completely at random for boys but that the probability of obesity is consistently higher among girls who provided incomplete records than among girls who provided complete records. We discuss the statistical and substantive features of, respectively, pattern mixture and selection models for this data set.     

Native American casino gambling in Arizona: A case study of the Fort McDowell reservation

Since Congress passed the American Indian Gambling Regulatory Act (IGRA) in 1988, there has been an explosion in the number of gambling casinos located on Native American reservations. It is estimated that in 1994 the total net revenue from 81 Native American casinos exceeded $2.3 billion dollars. As the number of Native American casinos grows along with the volume of gambling activity, opposition increases from states, the established gambling industry hurt by lost revenues, and groups with moral objections to gambling. This article reports on an effort to measure the economic impact of the Fort McDowell casino located near Phoenix, Arizona. The article discusses the casino's history and current operations. Next, it explains the use of an input-output model to compute the impact of casino's income and employment effects on the economy of Maricopa County. It is estimated that the casino is responsible for 2,483 new jobs, and an increase of approximately $80.35 million in regional output. Additional information is necessary to more accurately assess both the benefits and costs of the casino. Unfortunately, subsequent efforts to collect additional data have been unsuccessful. The conclusion discusses why, and raises questions regarding Native American gaming.An earlier version of this paper was presented at the 9th International Conference on Gambling and Risk Taking, May 31–June 3, 1994, Las Vegas, Nevada. This research was funded by a FGIA grant from Arizona State University. The author expresses his appreciation to the referees who provided substantial guidance in improving the original paper. Any remaining errors are mine.     

The relative risk aversion hypothesis of educational choice

Analysing young people's educational choices, we derive and test implications of a relative risk aversion hypothesis: that educational choices are made so as to minimize the risk of ending up with a lower level of education than one's parents. These implications are in general different from what one would expect from human capital theory. We use a unique data set which combines data from administrative registers on young people's pathways through the educational system and their family background with survey data on their academic abilities at lower secondary school. The evidence is partly in favour of the relative risk aversion hypothesis. Received: 19 August 1999/Accepted: 10 January 2001 All correspondence to Eskil Heinesen. We are grateful to Karin Blix Mogensen and Martin B?g for excellent research assistance, and to two anonymous referees, John F. Ermisch, Martin Browning, Michael Rosholm, Paul Bingley, and participants at the conference of the European Society for Population Economics in Turin, 1999, for valuable comments and suggestions. Responsible editor: John F. Ermisch.