Life satisfaction is a key indicator of children’s healthy development. Although the developmental changes of life satisfaction during adolescence have been investigated, the developmental trajectories of life satisfaction and related predictors during childhood remain unclear. Thus, the current study aimed to identify the developmental trajectories of life satisfaction covering the period from middle to late childhood as well as to examine the predictive roles of environmental factors (i.e., family dysfunction and basic psychological needs satisfaction at school), personality factors (i.e., neuroticism and extraversion), and their interactions in these developmental trajectories. An accelerated longitudinal design was used with Chinese elementary school students (N?=?1069, 45.8% girls, Mage?=?9.43, SD?=?0.95) of 3 cohorts (grade 3, grade 4, and grade 5) on 4 occasions at 6-month intervals. Growth mixture modeling analyses revealed three distinct trajectories of life satisfaction: “High-Stable” (88.8%), “High-Decreasing” (6.8%), and “Low-Increasing” (4.4%). Multivariate logistic regression analyses revealed that family dysfunction and neuroticism served as risk factors for adverse developmental trajectories of life satisfaction; whereas basic psychological needs satisfaction at school served as a protective factor. Furthermore, the interaction between family dysfunction and extraversion suggested that higher levels of extraversion buffered children against the negative effect of family dysfunction on the development of life satisfaction. The identification of three heterogeneous trajectory groups of children’s life satisfaction and key personality and environmental predictors associated with the trajectories suggests that specific interventions need to be tailored to the unique characteristics of the relevant trajectory groups.
Three backward-masking experiments demonstrated that the magnitude of the phonemic mask reduction effect (MRE) is a function of subjective threshold and that the magnitude is also independent of stimulus-based response strategies. In all three experiments, a target word (e.g., bake) was backward masked by a graphemically similar nonword (e.g., BAWK), a phonemically similar nonword (e.g., BAIK), or an unrelated control (e.g., CRUG). Experiments 1 and 2 had a low percentage (9%) of trials with phonemic masks and differed only in baseline identification rate. Experiment 3 controlled baseline identification rate at below and above subjective threshold levels, with 9% phonemic trials. The results were that identification rates were higher with phonemic masks than with graphemic masks, irrespective of the low percentage of phonemic trials. However, the magnitude of the phonemic MRE became large only when the baseline identification rate was below subjective threshold. The pattern of the phonemic MRE was interpreted as a result of rapid automatic phonological activation, independent of stimulus-based processing strategies. 相似文献
Having higher levels of mainstream cultural orientation (MCO), an important component of acculturation attitudes and behaviors, is beneficial for ethnic/racial minority students during the transitions into university. Scant research has investigated MCO at a micro daily timescale. This study examined how personality (agreeableness) functions in conjunction with interpersonal processes (inter-ethnic contact and perceived discrimination) to influence MCO as daily within-person processes. 相似文献
We propose a latent topic model with a Markov transition for process data, which consists of time-stamped events recorded in a log file. Such data are becoming more widely available in computer-based educational assessment with complex problem-solving items. The proposed model can be viewed as an extension of the hierarchical Bayesian topic model with a hidden Markov structure to accommodate the underlying evolution of an examinee's latent state. Using topic transition probabilities along with response times enables us to capture examinees' learning trajectories, making clustering/classification more efficient. A forward-backward variational expectation-maximization (FB-VEM) algorithm is developed to tackle the challenging computational problem. Useful theoretical properties are established under certain asymptotic regimes. The proposed method is applied to a complex problem-solving item in the 2012 version of the Programme for International Student Assessment (PISA). 相似文献