The necessity to actively manage the work–home boundaries has drastically increased. We postulate that work–home integration may affect individuals' subjective career success via its positive effects on work goal attainment and exhaustion. Furthermore, we study perceived supervisor expectation for employee work–home integration as a boundary condition. Our three-wave online survey with 371 employees showed support for the two hypothesized moderated mediation effects. Work–home integration preference is indirectly related to subjective career success: (1) positively via home-to-work transitions and work goal attainment and (2) negatively via home-to-work transitions and exhaustion. Perceived supervisor expectation constrained work–home integration preference's direct effect on home-to-work transitions and indirect effects on subjective career success. Exploratory analysis revealed that exhaustion negatively affected all career success dimensions, whereas work goal attainment was only related to some. Our results indicate that supervisor expectation can override the effect of employee's work–home integration preference on home-to-work transitions which have a double-edged sword effect on subjective career success. Our study contributes to integrating the careers and work–life interface literature and incorporating contextual factors. Furthermore, with the exploration of differential effects on subjective career success, we advance our understanding of this outcome's nomological network. 相似文献
Animal Cognition - Incorporating novel food sources into their diet is crucial for animals in changing environments. Although the utilization of novel food sources can be learned individually,... 相似文献
This paper examines three issues concerning the frequently documented negative correlation between formal education and ethnic prejudice, namely its reliability, its validity and the manner in which it is mediated. Reliability is demonstrated across three indices of ethnic attitudes in seven representative samples drawn from four European countries (West Germany, Netherlands, France, Great Britain; total N=3788). The hypothesis that this correlation reflects only the tendency of more highly educated respondents to give more socially desirable answers and not true attitude differences was inconsistent with the finding from the survey data that educational level also correlated negatively with responses to an index of subtle prejudice. Results from an experiment employing the bogus pipeline procedure similarly refute this hypothesis, indicating that significant education-related differences in expressed prejudice remain under conditions in which the tendency to give socially desirable responses is reduced. Finally, path analysis based on the survey data show that part but not all of the association between low education and ethnic prejudice is mediated by social psychological variables, particularly group relative deprivation, perceived belief incongruency, political conservatism, and acceptance of inter-ethnic contact. 相似文献
Complex simulator-based models with non-standard sampling distributions require sophisticated design choices for reliable approximate parameter inference. We introduce a fast, end-to-end approach for approximate Bayesian computation (ABC) based on fully convolutional neural networks. The method enables users of ABC to derive simultaneously the posterior mean and variance of multidimensional posterior distributions directly from raw simulated data. Once trained on simulated data, the convolutional neural network is able to map real data samples of variable size to the first two posterior moments of the relevant parameter's distributions. Thus, in contrast to other machine learning approaches to ABC, our approach allows us to generate reusable models that can be applied by different researchers employing the same model. We verify the utility of our method on two common statistical models (i.e., a multivariate normal distribution and a multiple regression scenario), for which the posterior parameter distributions can be derived analytically. We then apply our method to recover the parameters of the leaky competing accumulator (LCA) model and we reference our results to the current state-of-the-art technique, which is the probability density estimation (PDA). Results show that our method exhibits a lower approximation error compared with other machine learning approaches to ABC. It also performs similarly to PDA in recovering the parameters of the LCA model. 相似文献
Philosophical Studies - In this paper, we analyse actual causation in terms of production. The latter concept is made precise by a strengthened Ramsey Test semantics of conditionals: $$A \gg C$$... 相似文献
Sedentary lifestyles have been linked to higher rates of stroke, hypertension, depression, certain types of cancers, and cardiovascular disease, and increased risk of mortality. The link between physical inactivity and health has led to research on how physical activity (PA) interventions might improve health-related quality of life (HRQoL). Estimates of HRQoL improvements are typically focused on targeted at-risk groups, however. Given that almost half of the U.S. adult population is physically inactive, it would be helpful to broaden our understanding of how PA relates to quality of life for the population at large. In this study, we calculated the HRQoL gains attributable to PA across three nationally representative data sets that use different quality of life measures, and assessed the reliability in the results. The data sets used were the Medical Expenditure Panel Survey (MEPS), the Behavioral Risk Factor Surveillance System (BRFSS), and the National Health Interview Survey (NHIS). Quasi-likelihood regression modeling with a beta distribution was used to generate the estimates. We found mean HRQoL scores were very similar across the three data sets and the estimated HRQoLs gained from PA varied only slightly, suggesting that all three provide reliable estimates for the general population.