Two experiments examined the effect of time on causal attributions. In Experiment I, subjects who described themselves into a tape recorder assumed more personal responsibility for their behavior after 3 weeks' time than others who explained their behavior immediately after its occurrence. In Experiment II, actor-subjects took part in a getting acquainted conversation and explained their behavior more dispositionally and less situationally after 3 weeks' time than they had initially, while observer-subjects experienced no change over time. Results were interpreted in terms of an altered self-perspective in memory and the diminished salience of situational details over time. 相似文献
Using Louis’ formula, it is possible to obtain the observed information matrix and the corresponding large-sample standard error estimates after the expectation–maximization (EM) algorithm has converged. However, Louis’ formula is commonly de-emphasized due to its relatively complex integration representation, particularly when studying latent variable models. This paper provides a holistic overview that demonstrates how Louis’ formula can be applied efficiently to item response theory (IRT) models and other popular latent variable models, such as cognitive diagnostic models (CDMs). After presenting the algebraic components required for Louis’ formula, two real data analyses, with accompanying numerical illustrations, are presented. Next, a Monte Carlo simulation is presented to compare the computational efficiency of Louis’ formula with previously existing methods. Results from these presentations suggest that Louis’ formula should be adopted as a standard method when computing the observed information matrix for IRT models and CDMs fitted with the EM algorithm due to its computational efficiency and flexibility. 相似文献
Existing knowledge on remote working can be questioned in an extraordinary pandemic context. We conducted a mixed-methods investigation to explore the challenges experienced by remote workers at this time, as well as what virtual work characteristics and individual differences affect these challenges. In Study 1, from semi-structured interviews with Chinese employees working from home in the early days of the pandemic, we identified four key remote work challenges (work-home interference, ineffective communication, procrastination, and loneliness), as well as four virtual work characteristics that affected the experience of these challenges (social support, job autonomy, monitoring, and workload) and one key individual difference factor (workers’ self-discipline). In Study 2, using survey data from 522 employees working at home during the pandemic, we found that virtual work characteristics linked to worker's performance and well-being via the experienced challenges. Specifically, social support was positively correlated with lower levels of all remote working challenges; job autonomy negatively related to loneliness; workload and monitoring both linked to higher work-home interference; and workload additionally linked to lower procrastination. Self-discipline was a significant moderator of several of these relationships. We discuss the implications of our research for the pandemic and beyond. 相似文献
The high self-esteem (HSE) heterogeneity hypothesis provides a new research perspective for investigating differences in the quantity and quality of different types of self-esteem. The present study adopted the emotional Stroop paradigm and the odd-one-out search task to explore how individuals with different types of self-esteem process social information in self-threatening situations. The results showed that individuals with different types of self-esteem had an attentional bias toward negative information and had different attentional biases toward angry faces in self-threatening situations. Individuals with fragile HSE and low self-esteem showed facilitated attention to angry faces and had difficulty drawing attention away from them; secure HSE individuals only showed difficulty disengaging attention from angry faces.