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.     

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.     

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.     

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.     

The Relationship Between Social Capital and Individualism–Collectivism in Europe

The aim of the present study was to examine the relationship between social capital and individualism–collectivism in a sample of 50,417 individuals from 29 European countries using data from the European Social Survey Round 6 (2012). Social capital was measured in terms of generalized social trust and informal social networks; individualism–collectivism was operationalized via Schwartz’s Openness to Change–Conservation value dimension. Results from a hierarchical linear modeling analysis showed that less than 10% of variance in social capital indicators was found between countries, meaning that the level of social capital varies more substantively between individuals than between the countries. Openness to Change had a weak but statistically significant and positive relationship both with the indices of Generalized Social Trust and Informal Social Networks, which remained significant even when individual age, gender, education level, and domicile were controlled for. In sum, our findings show that the positive relationship between social capital and individualism that has been found at the cultural level also holds at the individual level: people who emphasize independent thought, action, and readiness to change are also more willing to believe that most people can be trusted and are more engaged in informal social networks. The relationship is, nevertheless, very weak and the strength of the association varies significantly across different European countries. This variation, however, cannot be explained by country differences in level of democracy or human development and the country’s wealth moderates only the individual level relationship between Openness to Change and Informal Social Networks. Our findings suggest that sources of social capital at the individual level can be found in people’s immediate social surroundings, as well as their everyday social interactions.     

风水、宗族与地域社会的构建——以清代黄姚社会变迁为中心

在帝国时期,风水是乡村民众社会生活的重要内容之一,既投射着地域社会的权力秩序,亦反映了国家制度与民间文化的结合。历时性地探讨风水话语的演变,可以让我们从另一侧面了解到民众空间观念与地域社会构建之间的复杂互动过程。本文试图以清代广西昭平县黄姚街的风水演变为个案,分析府江流域社会在逐步整合至王朝权力体系的过程中,当地民众围绕着开户立籍、地方团练等重大历史问题,如何透过空间观念的不断重述来创造与组织其社会生活。     

Interactions between task repetition and psychosocial factors

Psychosocial factors, individual factors, workplace requirements, and workplace organizational factors have all been reported as being associated with the risk of musculoskeletal disorders [11]. Huang, Feuerstein, and Sauter [5] described the various concepts and models proposed to link occupational stress and work-related upper extremity disorders, as well as the difficulty in verifying the suggested linkages. Huang et al. [5] suggested that decomposing a complex model would be an appropriate method to begin the investigations of the proposed models. Task repetition is a workplace requirement that is considered a potential risk factor for cumulative trauma and its relationship to psychosocial factors was investigated. The study found only weak to no statistically significant relationship between task repetition and reported psychosocial factors of job stress in workers in Taiwan.