So curious that I want to buy it: The positive effect of queue wait on consumers' purchase intentions

Queue wait is a prevalent daily experience, with most prior research documenting its negative consequences on consumer outcomes. Recent research has suggested otherwise, revealing potential positive effects of queue wait. However, studies on the positive queue effects are rather limited and have largely neglected the role of consumers' affective experience in driving potential favorable consumer outcomes. Expanding this stream of research, in this article, we build on the queue wait literature and the curiosity literature to propose that the presence of queue waits generates feelings of curiosity and more importantly such curious feelings influence consumers' decision-making in fashions that enhance their purchase intentions. The boundary condition for this effect was also examined. Five studies provided empirical evidence: the presence versus absence of queue wait enhances participants' purchase intentions that carry real consequences (Study 1); this effect is mediated by participants' feelings of curiosity after accounting for quality (Study 2) or after controlling for quality (Studies 1, 3–5), and is stronger among participants with hedonic versus utilitarian consumption motivation (Studies 4 and 5). By documenting the curiosity account for the positive effect of queue wait on consumers' purchase intentions, this research adds to extant research on positive queue effects and expands the curiosity literature into the queue wait context. The observed moderating effect of hedonic versus utilitarian consumption motivation echoes with the curiosity account. Practical implications for marketers were discussed.     

Chinese child unsociability,maternal maladaptive parenting,and peer exclusion among preschoolers: A cross-lagged model

Previous research has consistently found that unsociability is linked to adjustment difficulties in Chinese children. However, far less attention has been paid to how parents and peers react when confronted with unsociable children. In this study, we explored the longitudinal linkages among Chinese preschoolers' unsociability, maladaptive parenting, and peer exclusion. Participants were mothers and teachers of N = 391 (M_age = 4.4 years, SD = 0.91 years; 54.5% boys) preschoolers attending eight kindergartens in Shanghai, People's Republic of China, followed over 8 months. Multi-source assessments were employed. Mothers rated children's unsociability and their maladaptive (physical hostility, verbal hostility, punishment) parenting practices, and teachers rated children's peer exclusion at each time point. Our results indicated that child unsociability contributed to later increases in both maladaptive parenting and peer exclusion. However, maladaptive parenting and peer exclusion could not predict later increases in unsociability. Results are discussed in terms of the implications of unsociability among Chinese children.     

Stolen elections: How conspiracy beliefs during the 2020 American presidential elections changed over time

Conspiracy beliefs have been studied mostly through cross-sectional designs. We conducted a five-wave longitudinal study (N = 376; two waves before and three waves after the 2020 American presidential elections) to examine if the election results influenced specific conspiracy beliefs and conspiracy mentality, and whether effects differ between election winners (i.e., Biden voters) versus losers (i.e., Trump voters) at the individual level. Results revealed that conspiracy mentality kept unchanged over 2 months, providing first evidence that this indeed is a relatively stable trait. Specific conspiracy beliefs (outgroup and ingroup conspiracy beliefs) did change over time, however. In terms of group-level change, outgroup conspiracy beliefs decreased over time for Biden voters but increased for Trump voters. Ingroup conspiracy beliefs decreased over time across all voters, although those of Trump voters decreased faster. These findings illuminate how specific conspiracy beliefs are, and conspiracy mentality is not, influenced by an election event.     

Family mental health during the COVID-19 pandemic: Changes in parent-adolescent internalizing symptoms in the United States

The current paper examined the temporal linkage of internalizing symptoms among parent-adolescent dyads during the beginning of the COVID-19 pandemic, and whether COVID-19-related concerns were associated with parent-adolescent linkage of symptoms. Using a 5-week survey-based study, parent-adolescent dyads filled out weekly surveys measuring COVID-19 concerns and internalizing symptoms. Parent and adolescent depressive symptoms did not change over time; however, adolescents experienced decreases in anxiety. Parent-adolescent dyads exhibited linkage in depressive symptoms but not anxiety symptoms. However, linkage in anxiety symptoms varied by parent's COVID-related stress. Study findings provide insight into how COVID-19 disruptions impacted family well-being during adolescence.     

Stop the blame game: An analysis of blaming on Weibo during the early days of the COVID-19 pandemic in rice and wheat areas in China

In the pandemic era, social media has provided the public with a platform to make their voice heard. One of the most important public opinions online during a pandemic is blame. Blame can lead to stigma towards patients as well as potential patients and decrease social cooperation, which might impede prevention and control measures during epidemics. Thus, studying online blame during the early days of COVID-19 can facilitate the management and control of future pandemics. By analyzing 3791 posts from one of the most popular social media sites in China (Weibo) over the 10 days immediately after COVID-19 was declared to be a communicable disease, we found that there were four main agents blamed online: Individuals, corporations, institutions, and the media. Most of the blame targeted individual agents. We also found that there were regional-cultural differences in the detailed types of blamed individual agents, that is, between rice- and wheat-farming areas in China. After controlling influence of distance from the epicenter of Wuhan, there were still stable differences between regions: people in wheat areas had a higher probability of blaming agentic, harmful individuals, and people in rice areas had a higher probability of blaming individuals with low awareness of social norms for preventive health behavior. Findings have implications for preventing and predicting blame across cultures in future pandemics.     

An individual difference model for the multidimensional analysis of preference data

A model for the analysis of paired comparison data is presented which combines features of the BTL-model with features of the Unfolding model. The model is metric, mathematically tractable, and has an exact algebraic solution. Since it is multidimensional and allows for individual differences, it is thought to be more realistic for some choice situations than either the Thurstone model or the BTL-model. No claim is made that the present model will be appropriate for all conceivable choice situations. Rather, it is argued that the fact that it is explicitly falsifiable is a point in its favor.This work was supported by a grant of the United States Public Health Service (1 R03 MH19139 01 MSM) and a David Ross (XR) grant of the Purdue Research Foundation (PRF 2132), both of which are gratefully acknowledged. We also owe thanks to Dr. Terry Cooper, whose careful scrutiny of an earlier draft of this paper allowed us to reduce the number of errors from n to n-1.     

Some new results on factor indeterminacy

Some relations between maximum likelihood factor analysis and factor indeterminacy are discussed. Bounds are derived for the minimum average correlation between equivalent sets of correlated factors which depend on the latent roots of the factor intercorrelation matrix . Empirical examples are presented to illustrate some of the theory and indicate the extent to which it can be expected to be relevant in practice.     

不同智商儿童和唐氏综合症儿童的关联性负变(CNV)

比较不同智商正常儿童和唐氏综合症(Down’s Syndrome)儿童的关联性负变(Contingent Negative Variation CNV)。结果是:智力缺陷儿童的CNV幅度明显下降甚至缺失。智力较高儿童CNV较大,CNV的晚成分与智商,尤其是言语智商密切相关,智商和言语智商越高,晚成分幅度越大。似乎晚成分更能反映人的语言方面的能力。早成分则与语言、操作以及全量表智商都无明显关系。     

人类颜色视觉的计算理论

该文有机地结合了计算视觉理论和生态学视觉理论,指出颜色信息处理的根本任务是检测环境中的光不变量。在此基础上,作者提出了颜色视觉的计算理论以及计算理论本身的生物学标准。初级视觉计算是典型的不适定问题,动物的视觉系统则利用视环境中存在的条件将该不适定问题转化为定解问题。本文引入颜色视觉计算的免要条件,客观性约束,以及颜色认知的神经表象,证明了上述约束下颜色算法的存在性。本文给出了构造颜色知觉的基本假设。同时,该文还讨论了与上述问题密切相关的几个基本问题:神经表象的完备性,主观色觉的客观性,明度知觉和颜色知觉的统一,人类主观色觉的实现方式。