A Moderated Mediation Model of Planned Happenstance Skills,Career Engagement,Career Decision Self‐Efficacy,and Career Decision Certainty

This study examined how college students’ levels of planned happenstance skills influenced the relationships among career engagement, career decision self‐efficacy, and career decision certainty. Moderated mediation analysis was used with a sample of 217 Korean undergraduate students. The results indicated that career decision self‐efficacy mediated the relationship between career engagement and career decision certainty. Moreover, the positive indirect effect of career engagement on career decision through career decision self‐efficacy was strengthened as the level of planned happenstance skills increased. In conclusion, college students’ career engagement strengthens their career decision certainty via career decision self‐efficacy when they have enough planned happenstance skills to discover unexpected career opportunities.     

Construction and Initial Validation of the Planned Happenstance Career Inventory

This study was conducted to develop and initially evaluate the psychometric properties of the Planned Happenstance Career Inventory (PHCI), which aims to assess skill in using chance events to develop career opportunities. After item generation and exploratory factor analysis, 130 original items were reduced to 25 items across 5 factors (5 items for each corresponding factor). Multigroup confirmatory factor analysis confirmed the validity of this 5‐factor structure, and the goodness of fit showed an adequate fit to the observed data for both women and men. Results showed that PHCI subscales correlated moderately and in expected directions with career preparation, career decision‐making self‐efficacy, and career stress. These findings suggest that the PHCI, which assesses 5 dimensions of career‐related planned happenstance skill, shows promise as a useful tool for facilitating understanding of the influence of chance events on career choice behavior.     

Bridging the Gap: How do EU-Based Civil Society Organisations Acquire Their Internal Representation?

In recent decades, the emergence and development of pan-European civil society organisations have been prominent, including those representing interests of marginalised groups and raising related social issues. Typically composed of national and European level umbrella organisations, some of these organisations have grown as important interlocutors between EU institutions and civil society, and derive legitimacy for their advocacy and lobbying activities by claiming broad representativeness. Through a comparative study of five principal EU-based civil society organisations, the present article analyses how these organisations, operating at multiple levels with their membership based on extensive geographical areas, acquire internal representation of members and beneficiaries.     

Welfare myths: The transmission of values and work among TANF families

Both “welfare culture” arguments and structural explanations of poverty suggest that attitudes may have an effect on work and welfare outcomes. However, most scholars only examine objective behaviors and characteristics despite the fact that values are an underlying mechanism in explanations of the transmission of welfare and work behavior. Using data from a survey of recent welfare recipients in Louisiana and structural equation methods, we analyze causal relationships among family background, socioeconomic characteristics, attitudes, and two outcomes—TANF participation and employment. We find some support for the intergenerational transmission of welfare but not through values; we find no evidence that under the TANF system, values inhibit work.     

Interactive fuzzy goal programming for multi-objective transportation problems

This paper presents an interactive fuzzy goal programming approach to determine the preferred compromise solution for the multi-objective transportation problem. The proposed approach considers the imprecise nature of the input data by implementing the minimum operator and also assumes that each objective function has a fuzzy goal. The approach focuses on minimizing the worst upper bound to obtain an efficient solution which is close to the best lower bound of each objective function. The solution procedure controls the search direction via updating both the membership values and the aspiration levels. An important characteristic of the approach is that the decision maker's role is concentrated only in evaluating the efficient solution to limit the influences of his/her incomplete knowledge about the problem domain. In addition, the proposed approach can be applied to solve other multi-objective decision making problems. The performance of this solution approach is evaluated by comparing its results with that of the two existing methods in the literature.     

Estimation and selection in linear mixed models with missing data under compound symmetric structure

It is quite appealing to extend existing theories in classical linear models to correlated responses where linear mixed-effects models are utilized and the dependency in the data is modeled by random effects. In the mixed modeling framework, missing values occur naturally due to dropouts or non-responses, which is frequently encountered when dealing with real data. Motivated by such problems, we aim to investigate the estimation and model selection performance in linear mixed models when missing data are present. Inspired by the property of the indicator function for missingness and its relation to missing rates, we propose an approach that records missingness in an indicator-based matrix and derive the likelihood-based estimators for all parameters involved in the linear mixed-effects models. Based on the proposed method for estimation, we explore the relationship between estimation and selection behavior over missing rates. Simulations and a real data application are conducted for illustrating the effectiveness of the proposed method in selecting the most appropriate model and in estimating parameters.     

Social Worker Manpower,Community Economic Disadvantage,and Family Violence: Initial Evidence from Taiwan

This study is the first to explore the effect of social worker manpower on family violence incidents. In addition, it is the first study to investigate the geography of family violence in Taiwan. Using data from the County‐Level Important Indicator Query System, this study performs panel regressions to analyze the determinants of county‐level family violence incidents between 2005 and 2011. The empirical results clearly indicate that family violence incidents tend to be higher in counties that suffer economic disadvantage and in which there is an inadequate deployment of social worker manpower. The findings have important implications for combating family violence.     

Depth functions as measures of representativeness

Data depth provides a natural means to rank multivariate vectors with respect to an underlying multivariate distribution. Most existing depth functions emphasize a centre-outward ordering of data points, which may not provide a useful geometric representation of certain distributional features, such as multimodality, of concern to some statistical applications. Such inadequacy motivates us to develop a device for ranking data points according to their “representativeness” rather than “centrality” with respect to an underlying distribution of interest. Derived essentially from a choice of goodness-of-fit test statistic, our device calls for a new interpretation of “depth” more akin to the concept of density than location. It copes particularly well with multivariate data exhibiting multimodality. In addition to providing depth values for individual data points, depth functions derived from goodness-of-fit tests also extend naturally to provide depth values for subsets of data points, a concept new to the data-depth literature.     

Part‐Time Employment and Problem Behaviors: Evidence From Adolescents in South Korea

This study explores the impact of adolescent part‐time work experience on problem behaviors in the South Korean context. To achieve this, propensity score matching (PSM) analyses were employed based on data from the Korean Education Employment Panel (KEEP). Results indicate that adolescents' part‐time employment during their secondary school years had significantly undesirable effects on drinking and smoking, even after preexisting differences between the two groups (i.e., those adolescents who participated in part‐time work and those who did not) were controlled by PSM. However, an insignificant difference was detected in the likelihood of running away from home. Implications of the results are discussed in terms of changes in the meanings of adolescence and of participating in part‐time work in South Korea.     

Parameter change test for zero-inflated generalized Poisson autoregressive models

In this paper, we consider the problem of testing for parameter change in zero-inflated generalized Poisson (ZIGP) autoregressive models. We verify that the ZIGP process is stationary and ergodic and that the conditional maximum likelihood estimator (CMLE) is strongly consistent and asymptotically normal. Based on these results, we construct CMLE- and residual-based cumulative sum tests and show that their limiting null distributions are a function of independent Brownian bridges. The simulation results are provided for illustration. A real data analysis is performed on some crime data of Australia.