Merit‐based Rewards,Job Satisfaction and Voluntary Turnover: Moderating Effects of Employee Demographic Characteristics

This paper draws on the reflection theory of compensation (Thierry, H. (1998). ‘Compensating work’. in P. J. D. Drenth, H. Thierry and C. J. de Wolff (eds), Handbook of Work and Organizational Psychology, 2nd edn, pp. 291–315, Psychology Press: Hove; Thierry, H. F. (2001). ‘Job evaluation systems and pay grade structures: do they match’, International Journal of Human Resource Management, 8, pp. 1313–1324) to examine the influence of individual merit‐based rewards on voluntary turnover via job satisfaction. It also tests the moderating effects of employees’ gender, age and education level between merit‐based rewards and job satisfaction. Data were collected from 636 employees in Japan at three points in time over a 12‐month period. The findings show that merit‐based rewards have a direct, positive effect on job satisfaction and an indirect effect on voluntary turnover. The effect of merit‐based rewards on job satisfaction was moderated by gender and education, providing evidence that merit‐based rewards are more important for male and highly educated employees. Practical and theoretical implications are discussed.     

A lost family-planning regime in eighteenth-century Ceylon

Based on Dutch colonial registers (thombos), this paper reconstructs fertility for two districts in Ceylon, 1756–68. It overcomes challenges in data quality by establishing the outer bounds of plausible estimates in a series of scenarios. Among these, total fertility rates (TFRs) averaged 5.5 in one district, but only 2.7 in the other. These figures exclude the victims of infanticide, a custom noted in European travelogues between about 1660 and 1820. Sex ratios among children differed depending on the number of older siblings, and overall, 27?per cent of girls are missing in one district and 57?per cent in the other. There was little significant variation either in the TFR or the sex ratio by socio-economic status, suggesting that poverty was not a key factor in motivating infanticides. Instead, we argue that at least parts of Ceylon had a forward-looking culture of family planning in the eighteenth century, which was lost in subsequent decades.     

Entwicklung von Schulleitung durch Gruppencoaching

Development of head masters by group coaching In discussion on school development, a central role is attributed to the head masters. Beside these expectations concerning an innovative activity, the head masters act for the maintaining of the everyday school functioning in the context of very different and partly conflicting expectations. Coaching may give a support by refering immediately to the everyday work of the head masters. This article focusses on group coaching, outlines the special procedure in group coaching and compares it with other forms of personal development of head masters.     

Realistic Major Previews in the School‐to‐College Transition of Italian High School Students

Industrial/organizational researchers have reported that realistic job previews diminish prospective workers' expectations but promote the satisfaction and persistence of those who ultimately accept a job assignment. The authors applied this strategy to the context of school‐to‐college transition; 354 Italian high school students were provided with a 2‐hour lecture designed to simulate exposure to a college major of their choice. Students showed moderate pre‐post increases in subject matter knowledge but reported small decreases in interests and outcome expectations (but not self‐efficacy) related to the academic major to which they were exposed.     

Inflated beta distributions

This paper considers the issue of modeling fractional data observed on [0,1), (0,1] or [0,1]. Mixed continuous-discrete distributions are proposed. The beta distribution is used to describe the continuous component of the model since its density can have quite different shapes depending on the values of the two parameters that index the distribution. Properties of the proposed distributions are examined. Also, estimation based on maximum likelihood and conditional moments is discussed. Finally, practical applications that employ real data are presented.     

Benefits and costs associated with mutual-help community-based recovery homes: The Oxford House model

We used data from a randomized controlled study of Oxford House (OH), a self-run, self-supporting recovery home, to conduct a cost-benefit analysis of the program. Following substance abuse treatment, individuals that were assigned to an OH condition (n = 68) were compared to individuals assigned to a usual care condition (n = 61). Economic cost measures were derived from length of stay at an Oxford House residence, and derived from self-reported measures of inpatient and outpatient treatment utilization. Economic benefit measures were derived from self-reported information on monthly income, days participating in illegal activities, binary responses of alcohol and drug use, and incarceration. Results suggest that OH compared quite favorably to usual care: the net benefit of an OH stay was estimated to be roughly $29,000 per person on average. Bootstrapped standard errors suggested that the net benefit was statistically significant. Costs were incrementally higher under OH, but the benefits in terms of reduced illegal activity, incarceration and substance use substantially outweighed the costs. The positive net benefit for Oxford House is primarily driven by a large difference in illegal activity between OH and usual care participants. Using sensitivity analyses, under more conservative assumptions we still arrived at a net benefit favorable to OH of $17,830 per person.     

Multivariate geostatistical mapping of radioactive contamination in the Maddalena Archipelago (Sardinia, Italy): spatial special issue

To improve the quality of prediction of radioactive contamination, geostatistical methods, and in particular multivariate geostatistical models, are increasingly being used. These methods, however, are optimal only in the case in which the data may be assumed Gaussian and do not properly cope with data measurements that are discrete, nonnegative or show some degree of skewness. To deal with these situations, here we consider a hierarchical model in which non-Gaussian variables of different kind are handled simultaneously. We show that when observations are assumed to be conditionally distributed as Poisson and Gamma, variograms and cross-variograms have convenient simple forms, and estimation of the parameters of the model can be carried out by Monte Carlo EM. This work was inspired by radioactive contamination data from the Maddalena Archipelago (Sardinia, Italy).