Students’ Vocational Choices and Voluntary Action: A 12-Nation Study

Previous research on student involvement suggested that business and engineering students manifest lowest rates of voluntary action. Similarly, it was thought that social science students are the most involved in voluntary action, with students of natural sciences and humanities in the middle. However, there were very few studies that empirically compared these assertions. Furthermore, these assertions were not investigated from cross-cultural perspectives. Based on a study of students in 12 countries (N = 6,570), we found that even when controlling for background variables, social science students are actually less engaged in voluntary action than other students. Engineering students are higher than expected on voluntary action while students of humanities are the most involved in voluntary action. When studying these differences in the 12 selected countries, local cultures and norms form different sets of findings that suggest that there is no universal trend in choice of academic field and voluntary action.     

Positivity conditions for stochastic state space modelling of time series

This short paper clarifies some aspects of the balancing method for state space modelling of observed time series. This method may fail to satisfy the so-called positive real condition for stochastic processes. We illustrate this by theoretical spectral analysis and also by simulating univariate ARMA (1,1) models.     

A new mixed first-order integer-valued autoregressive process with Poisson innovations

AStA Advances in Statistical Analysis - Integer-valued time series, seen as a collection of observations measured sequentially over time, have been studied with deep notoriety in recent years, with...     

The Impact of Complexity on Knowledge Transfer in Manufacturing Networks

Coordinating knowledge transfer within multi‐plant manufacturing networks is a challenging task. Using a computational model, we examine when it is beneficial to create production knowledge within a central unit, the “lead factory,” and transfer it to geographically dispersed plants. We demonstrate that the knowledge transfer generates a trade‐off between a positive cost‐saving effect due to fewer adaptations in each plant, and a negative transfer cost effect due to the costly knowledge transfer itself. The complexity of the production process moderates the performance implications of the knowledge transfer because it determines the relative strength of these two effects. For production processes with low complexity, knowledge transfer can engender superior network performance. Here, an optimal extent of knowledge transfer exists, and thus, a complete knowledge transfer is not performance maximizing. For production processes with medium and high levels of complexity, performance is reduced rather than enhanced through knowledge transfer so that it is optimal not to transfer any knowledge from the lead factory to the plants. While we analyze knowledge transfer within a manufacturing network, our results are transferable to other settings that consist of a knowledge sending and receiving unit.     

工业革命:过去与未来

通过全球经济增长的跨世纪比较,作者洞察出18世纪末开始的工业革命之后的经济增长与先前经济增长之根本不同在于工业世界是以人口总量相对于产出总量的增长率呈现稳定下降态势和广大普通民众生活水准的普遍提高为典型特征。进一步的分析表明,以马尔萨斯(Malthus)的人口理论为代表的传统经济增长理论可以成功解释传统农业社会里各国人均收入大致相等且基本上不随时间的变化而改变,而以贝克尔(Becker)的人力资本积累理论为代表的现代经济增长理论则可以成功解释现代工业社会中全球人均收入的持续大幅度成长、跨国人均收入的巨大不平等和人均收入跨国分布的动态变化。最后,作者指出随着仍然处在进行中的工业革命向全球各个角落扩散,世界人均收入整体上将不断提高,而解决全球低收入人群生活水准的最佳途径是不断地增加世界产出总量,而非重新分配现有的世界总产出。     

More is less? The volunteer stewardship framework and models

Scholars have devoted substantial attention to developing conditional models of volunteer administration and management, but no consensus surrounds the criteria underlying the different models or the rationale. The literature reveals a welter of possibilities but no clear choice. This study conceives the primary managerial challenges as securing access to and guiding volunteer energy into productive volunteering, and the volunteer administrator as the central actor in this process. Based on how volunteers are accessed and guided in their roles, we develop the Volunteer Stewardship Framework, which distinguishes volunteer administration according to two key dimensions: organizational access to volunteer energy (private resource vs. common pool) and guidance of volunteers (unitary vs. shared). Results of a survey of volunteer administration practitioners in the Netherlands show that respondents working under the four models emanating from the Framework recognize different elements of volunteer administration as “Very Important.”     

Bootstrap bias corrections for ensemble methods

This paper examines the use of a residual bootstrap for bias correction in machine learning regression methods. Accounting for bias is an important obstacle in recent efforts to develop statistical inference for machine learning. We demonstrate empirically that the proposed bootstrap bias correction can lead to substantial improvements in both bias and predictive accuracy. In the context of ensembles of trees, we show that this correction can be approximated at only double the cost of training the original ensemble. Our method is shown to improve test set accuracy over random forests by up to 70% on example problems from the UCI repository.     

Adding insult to injury: development and initial validation of the Partner-Directed Insults Scale

Women who are verbally abused by their intimate male partners suffer serious mental health consequences and often experience physical violence in their relationship. Despite the importance of studying verbal abuse, no previous research has investigated the specific content of the insults men use to derogate their partners. We present the development and initial validation of a new measure designed to assess the specific content of insults used by men against their intimate partners. In a preliminary study, we used feedback from battered women, along with a review of the relevant literature, to identify specific insults for inclusion in the Partner-Directed Insults Scale (PDIS). We administered the PDIS to a sample of United States participants (Study 1) and a sample of New Zealand participants (Study 2), allowing for a cross-national investigation of the specific insults that men use to derogate their partners. The results demonstrate the practical need for such a scale and provide evidence for the discriminant validity of the PDIS by documenting that men's use of insults predicts their use of controlling behaviors and physical violence.     

The relationship between organizational factors and resident satisfaction with nursing home care and life

We examined the relationships between nursing home (NH) resident satisfaction and NH organizational characteristics, while controlling for the effect of resident characteristics within facilities. We used a stratified, random sample of NHs (N = 72) from two states and a prescreened and randomized sample of 1496 residents. Data sources included resident interviews, an administrator survey, the Minimum Data Set (MDS), and the Online Survey, Certification and Reporting System (OSCAR). Using Hierarchical Linear Modeling (HLM) techniques, we found that non-chain affiliation, certified nursing assistant staffing, and provision of a family council had significant positive effects on total resident satisfaction. The presence of a special care unit was associated with lower levels of satisfaction.