It has become increasingly common for young children to be taken care of by multiple caregivers in China after the socio-economic reforms. Complex migration patterns and high female labour force participation have led to children receiving care from various individuals in different contexts. However, little is known about how childcare arrangements are associated with child health well-being. This study examines various early childhood caregivers and their influences on children’s physical health in China. Using data from the China Health and Nutrition Survey (CHNS 1991–2011) with 3,470 children aged 2 to 6, we first identified different types of childcare arrangements in and outside of the household based on who provides the care, where they provide the care, and the intensity of the care. Then we examined the relationship between various childcare arrangements and health outcomes for children. Overall, household members undertook early childhood care tasks in China, with an increase in grandparents as primary caregivers between 1991 and 2011. The proportion of children receiving formal childcare fluctuated around 20% during this period. The findings suggest that: 1) primary caregiver in the household other than parents is not associated with undesirable physical health outcomes; 2) formal childcare outside the household is associated with higher height and lower BMI scores; 3) primary caregivers in the household, particular grandparents, moderate the association between childcare arrangements outside the household and children’s health outcomes. It yields an implication that early childhood care policies incorporating multiple caregivers would benefit children’s well-being in China.
Existing literature on the mini‐ultimatum game indicates that counterfactual comparison between chosen and unchosen alternatives is of great importance for individual's fairness consideration. However, it is still unclear how counterfactual comparison influences the electrophysiological responses to unfair chosen offers. In conjunction with event‐related potentials’ (ERPs) technique, the current study aimed to explore the issue by employing a modified version of the mini‐ultimatum game where a fixed set of two alternatives (unfair offer vs. fair alternative, unfair vs. hyperfair alternative, unfair offer vs. hyperunfair alternative) was presented before the chosen offer. The behavioral results showed that participants were more likely to accept unfair chosen offers when the unchosen alternative was hyperunfair than when the unchosen alternative was fair or hyperfair. The ERPs results showed that the feedback‐related negativity (FRN) elicited by unfair chosen offers was insensitive to the type of unchosen alternative when correcting for possible overlap with other components. In contrast, unfair chosen offers elicited larger P300 amplitudes when the unchosen alternative was hyperunfair than when the unchosen alternative was fair or hyperfair. These findings suggest that counterfactual comparison may take effect at later stages of fairness consideration as reflected by the P300. 相似文献
To enhance the predictive validity of self-report personality measures, 2 distinct ways of increasing specificity of personality measures have been proposed in the literature—contextual specificity (i.e., providing a contextual referent) and content specificity (i.e., focusing on more specific constructs such as the Big Five facets). This study extends this line of research by examining whether there is an optimal way to configure, align, or integrate contextual and content specificity using measures of conscientiousness to predict college student success. A sample of 478 undergraduate students completed 4 measures of conscientiousness that varied in the level of content and contextual specificity. These forms of specificity were crossed to yield 4 distinct measures of conscientiousness. We then evaluated and compared the relative importance and the incremental importance of these different measures in the prediction of academic success. Superior predictive validity was found for both contextualized and facet measures of conscientiousness compared to a measure of global conscientiousness in predicting grade-point average and a broader behavioral criterion of student performance. When contextual and content specificity approaches were compared and combined, we observed the strongest predictive validity when the level of specificity is appropriately matched between predictor and criterion. 相似文献
Structural equation models (SEMs) have become widely used to determine the interrelationships between latent and observed variables in social, psychological, and behavioural sciences. As heterogeneous data are very common in practical research in these fields, the analysis of mixture models has received a lot of attention in the literature. An important issue in the analysis of mixture SEMs is the presence of missing data, in particular of data missing with a non‐ignorable mechanism. However, only a limited amount of work has been done in analysing mixture SEMs with non‐ignorable missing data. The main objective of this paper is to develop a Bayesian approach for analysing mixture SEMs with an unknown number of components and non‐ignorable missing data. A simulation study shows that Bayesian estimates obtained by the proposed Markov chain Monte Carlo methods are accurate and the Bayes factor computed via a path sampling procedure is useful for identifying the correct number of components, selecting an appropriate missingness mechanism, and investigating various effects of latent variables in the mixture SEMs. A real data set on a study of job satisfaction is used to demonstrate the methodology. 相似文献
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