General Job Satisfaction From a Developmental Perspective: Exploring Choice—Job Matches at Two Career Stages

The authors explored predictions of general job satisfaction at early and middle adulthood and uncovered several findings about developmental processes associated with job satisfaction. Tests of life‐span career theory propositions revealed that neither choice‐job congruence nor gender added significantly to predictions of job satisfaction at 2 career stages. Earlier occupational choice and current job added to predictions of midcareer (modal age 43 years) job satisfaction, especially for men. The predictability of job satisfaction is apparently influenced by the career stage when satisfaction is appraised.     

Individual irrationality and social welfare

Individual preferences inconsistent with personal welfare caused neither by ignorance nor by a positive consideration for the welfare of others are defined as (welfare) irrational. Sources of irrationality (rigid adherence to moral principles, excessive fear of danger, excessive tempetation of pleasure, revenge, inertia, faulty telescopic faculty, the fallacy of diminishing marginal utility of utility, etc.) are discussed. An evolutionary explanation of irrationality is suggested and some implications for individual decision and social policy indicated.I am grateful to two anonymous referees for comments.     

The utilitarian criterion,finite sensibility,and the weak majority preference principle

This study is a further analysis of the approach taken by Yew-Kwang Ng to derive the utilitarian criterion. Specific for the model is that individual preferences are finitely sensible. In this framweork an analysis of the consequences on social preferences when different kinds of value premises are imposed is made. It is found that the utilitarian criterion is the unique consequence only for very special choices of the value premise. In addition, uniqueness requires the underlying preferences be cardinal. It is also found that finite sensibility induces approximate cardinalization of preferences.I am grateful to Y.-K. Ng, two anonymous referees and an editor of this journal for helpful and constructive comments on earlier versions of this paper. The research was financially supported by the Swedish Council for Research in the Humanities and Social Sciences     

Chinese version of the OSI: A validation study

This article examines the construct validity of the Occupational Stress Indicator (OSI) in its Chinese version as well as its criterion-oriented validity against self-reported data on absenteeism and accidents, using a final sample of 1054 workers in the Chinese manufacturing and power industries. The divergent and convergent validities of five of the OSI scales—Job satisfaction, Physical ill-health, Mental ill-health, Type A behaviour and Control—were examined by a multimethod-multitrait matrix technique. Results indicated that the Chinese OSI had fairly good validity in relation to other well-established measures as well as relevant organizational behaviours.     

Is Tattooing a Risk Factor for Adolescents’ Criminal Behavior? Empirical Evidence from an Administrative Data Set of Juvenile Detainees in Taiwan

Juvenile crime affects not only the victims of the crime but also the delinquents’ future. How to prevent adolescent criminal behavior has become an important public policy issue. This study contributes to this interesting issue by examining the relationship between tattooing and adolescents’ criminal behavior. In particular, this study investigates whether or not having a tattoo/tattoos is connected to the incidence of various criminal activities, including: larceny, robbery, fraud, assault, drug use, and homicide. A unique sample of 973 juvenile detainees drawn from the administrative profiles in Taiwan and the coarsened exact matching method were utilized. Results show that compared to their nontattooed counterparts, tattooed juvenile detainees were significantly more likely to commit fraud, assault, drug abuse, and homicide by 3%, 13%, 9%, and 9%, respectively. In contrast, tattooing was not significantly associated with larceny or robbery. From a policy perspective, given the significant link between tattooing and criminal behavior, the presence of a tattoo in adolescents may serve as a valuable indicator regarding adolescents’ high probability of committing crimes.     

Constructing poverty in anti-welfare Singapore

In recent years, attention on the issue of poverty in Singapore has been increasingly placed in the spotlight. This study examines the various types of attitudes among Singaporeans and how they are formed, relating them to the broader institutional context of Singapore. A mixed method design is employed where clusters or groups of attitudes are derived through the use of cluster analysis. Subsequently, discourses of poverty and welfare attitudes are construed through qualitative interviews with the aid of Foucauldian Discourse Analysis. Quantitative findings point to three clusters of attitudes: ‘Conservatives’, ‘Liberals’, and ‘Sui Generis’. Qualitative findings, however, show that ‘Sui Generis’ ultimately align themselves closer to either ‘Conservatives’ or ‘Liberals’ in their discourses of welfare. In fact, respondents in all three clusters reproduce state discourses, albeit in varying ways. In essence, this study explicates poverty and welfare attitudes as a product of social identities premised on subjective notions that are shaped by state discourses of meritocracy, self-reliance and anti-welfarism. It is thus argued that current socio-political constructions of poverty ensue a paucity of major welfare reform in the near future of Singapore.     

Comparison between method of moments and entropy regularization algorithm applied to parameter estimation for mixed-Weibull distribution

Mixed-Weibull distribution has been used to model a wide range of failure data sets, and in many practical situations the number of components in a mixture model is unknown. Thus, the parameter estimation of a mixed-Weibull distribution is considered and the important issue of how to determine the number of components is discussed. Two approaches are proposed to solve this problem. One is the method of moments and the other is a regularization type of fuzzy clustering algorithm. Finally, numerical examples and two real data sets are given to illustrate the features of the proposed approaches.     

浅论党的十六届六中全会决定的重大意义

十六届六中全会通过的《中共中央关于构建社会主义和谐社会若干重大问题的决定》是一篇马克思主义的重要文献.六中全会的召开和决定的发表标志着邓小平开创的中国特色社会主义的理论与实践又有了新的重大发展;标志着马克思主义关于社会矛盾和社会建设的理论在当代中国得到了全面、直接和生动的体现;标志着执政的中国共产党进入了又一个新的强力作为期.     

Estimation of the intensity function of an inhomogeneous Poisson process with a change‐point

Recent work on point processes includes studying posterior convergence rates of estimating a continuous intensity function. In this article, convergence rates for estimating the intensity function and change‐point are derived for the more general case of a piecewise continuous intensity function. We study the problem of estimating the intensity function of an inhomogeneous Poisson process with a change‐point using non‐parametric Bayesian methods. An Markov Chain Monte Carlo (MCMC) algorithm is proposed to obtain estimates of the intensity function and the change‐point which is illustrated using simulation studies and applications. The Canadian Journal of Statistics 47: 604–618; 2019 © 2019 Statistical Society of Canada     

Two-Group Classification Using Neural Networks*

Artificial neural networks are new methods for classification. We investigate two important issues in building neural network models; network architecture and size of training samples. Experiments were designed and carried out on two-group classification problems to find answers to these model building questions. The first experiment deals with selection of architecture and sample size for different classification problems. Results show that choice of architecture and choice of sample size depend on the objective: to maximize the classification rate of training samples, or to maximize the generalizability of neural networks. The second experiment compares neural network models with classical models such as linear discriminant analysis and quadratic discriminant analysis, and nonparametric methods such as k-nearest-neighbor and linear programming. Results show that neural networks are comparable to, if not better than, these other methods in terms of classification rates in the training samples but not in the test samples.