Achieving Effective Remote Working During the COVID-19 Pandemic: A Work Design Perspective

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.     

Phenomenological approaches to personal identity

Phenomenology and the Cognitive Sciences - This special issue addresses the debate on personal identity from a phenomenological viewpoint, especially contemporary phenomenological research on...     

When is the Wilcoxon–Mann–Whitney procedure a test of location? Implications for effect-size measures

The Wilcoxon–Mann–Whitney procedure is invariant under monotone transformations but its use as a test of location or shift is said not to be so. It tests location only under the shift model, the assumption of parallel cumulative distribution functions (cdfs). We show that infinitely many monotone transformations of the measured variable produce parallel cdfs, so long as the original cdfs intersect nowhere or everywhere. Thus there are infinitely many effect sizes measured as shifts of medians, invalidating the notion that there is one true shift parameter and thereby rendering any single estimate dubious. Measuring effect size using the probability of superiority alleviates this difficulty.     

A Goal‐Priming Approach to Cognitive Consistency: Applications to Judgment

A fundamental criterion of judgment is consistency among beliefs. To augment traditional methods for studying cognitive consistency, we treat it as a goal and present a priming method for increasing its activation. Three studies use three criteria to validate the method: an increase in the biased evaluation of incoming information, speed in a lexical decision task, and participants' direct reports of greater goal activation. The method is then used to verify the role of the consistency goal in three diverse judgment phenomena. Priming cognitive consistency increases the search for postdecisional supporting information (selective exposure to information), the agreement between preference and prediction (the desirability bias or wishful thinking), and the adjustment of a socially unacceptable implicit attitude to conform to the corresponding explicit attitude. One conclusion is that the cause of these phenomena is not only motivated reasoning (driven directionally by a desired outcome) but also the purely cognitive and nondirectional process of simply making beliefs more consistent. Copyright © 2015 John Wiley & Sons, Ltd.