Chinese college students' general and relationship‐specific representations of adult attachment: Variable‐centred and person‐centred analysis

Formerly, researchers often treated adult attachment as a trait‐like construct with consistency across relationship contexts. However, recent studies have shown that people possess multiple relationship‐specific attachment representations, and inter‐correlations among them are only in a small‐to‐medium range. The aim of this study is to test whether these variable‐centred results could be replicated in China and further supplement them with a person‐centred analysis focusing on identifying prototypical patterns of multiple working models across relationships. We administrated measurements of general and four relationship‐specific (mother/father/best friend/romantic partner) working models and indicators of psychological adjustment upon 302 Chinese college students. Results from variable‐centred analysis demonstrated the cross‐relationship variability in working models. Furthermore, global indicators of psychological adjustment were better predicted by general models, while relationship‐specific indicators were better predicted by corresponding relationship‐specific models. These results largely replicate previous Western studies, supporting the existence of multiple attachment representations in China. In person‐centred analysis, a latent profile analysis identified four typical classes of working model profiles: all‐average, all‐secure, romantic‐insecure and peer‐secure. These classes differed not only in the cross‐relationship variability of their working models, but also in their levels of psychological adjustment. These interesting patterns may have theoretical implications and are worthy of further examination.     

Understanding memory impairment with memory models and hierarchical Bayesian analysis

The study of human episodic memory is a topic that interests cognitive and mathematical psychologists as well as clinicians interested in the diagnosis and assessment of Alzheimer’s disease and related disorders (ADRD). In this paper, we use simple cognitive models for the recognition and recall tasks typically applied in clinical assessments of ADRD to study memory performance in ADRD patients. Our models make use of hierarchical Bayesian methods as a way to model individual differences in patient performance and to facilitate the modeling of performance changes that occur during multiple recall tasks. We show how the models are able to account for different aspects of patient performance, and also discuss some of the predictive capabilities of the model. We conclude with a discussion on the scope to improve on our results by discussing the link between memory theory in psychology and clinical practice.     

Media depictions of physical and relational aggression: connections with aggression in young adults' romantic relationships

Various studies have found that viewing physical or relational aggression in the media can impact subsequent engagement in aggressive behavior. However, this has rarely been examined in the context of relationships. Accordingly, the aim of this study was to examine the connection between viewing various types of aggression in the media and perpetration of aggression against a romantic partner. A total of 369 young adults completed a variety of questionnaires asking for their perpetration of various forms of relationship aggression. Participants' exposure to both physical and relational aggression in the media was also assessed. As a whole, we found a relationship between viewing aggression in the media and perpetration of aggression; however, this depended on the sex of the participant and the type of aggression measured. Specifically, exposure to physical violence in the media was related to engagement in physical aggression against their partner only for men. However, exposure to relational aggression in the media was related to romantic relational aggression for both men and women.     

Sex differences in latent cognitive abilities ages 5 to 17: Evidence from the Differential Ability Scales—Second Edition

Sex differences in the latent general and broad cognitive abilities underlying the Differential Ability Scales, Second Edition were investigated for children and youth ages 5 through 17. Multi-group mean and covariance structural equation modeling was used to investigate sex differences in latent cognitive abilities as well as changes in these differences across age. Most broad abilities showed mean differences across the sexes, and all such differences varied across ages. Girls showed an advantage on the processing speed (Gs) first-order residual factor. Girls also showed advantages at some ages on free-recall memory, a narrow ability of long term retrieval (Glr). Boys showed a developmentally-related advantage on a visual-spatial ability (Gv) first-order residual factor, depending on age. Younger girls showed an advantage on short-term memory (Gsm). No statistically significant sex differences were shown on the latent comprehension-knowledge (Gc) factor, or on a second-order, latent g factor. Boys showed larger variances for several broad abilities, some substantial, but those differences were not statistically significant.     

Watch Your Step: The New York Times,Breaching Confidentiality,and 12-Step Programs

Twelve-step programs such as Alcoholics Anonymous and Narcotics Anonymous invite members to trust that what is said in meetings remains confidential. However, the New York Times, a prominent and influential newspaper, has breached that confidentiality, offering both a precedent and a rationale to other media including newspapers, cable news programs, internet news blogs, and so on. This prominent breach may influence not only other news media but also the trust that 12-step members have in their programs.     

At the core of cyberaggression: A group-based explanation

In this study, prototypicality of the aggressor was tested as a group-level factor predicting social media users’ active participation in cyberaggression. Participants were exposed to a fictitious conversation, in which either a prototypical versus non-prototypical user posted an aggressive comment as a reply to a provocative comment. In line with self-categorization theory, we hypothesized that bystander participants would post an aggressive comment and rate the aggression as acceptable to a greater extent in the prototypical than in the non-prototypical condition. Furthermore, we predicted that perceived normativity of aggression would mediate the effect of prototypicality. Results supported these predictions and showed that prototypical members affect the extent to which collective aggressive behaviors in online interactions are approved and enacted. These findings highlight the importance of group-level factors in the study of cyberaggression and provide important information for understanding the psychological underpinnings of collective forms of online aggression.     

Content Hungry: How the Nutrition of Food Media Influences Social Media Engagement

What motivates people to consume and engage with food media on social networks? We adopt an evolutionary lens to suggest that the valence of people’s affective state varies by the implied caloric density of food media, which has a direct impact on social media engagement. First, we analyze a catalog of Buzzfeed’s Tasty videos based on nutritional content derived from the dish’s ingredients and find that visualizing caloric density (i.e., calories per serving) positively influences likes, comments, and shares on Facebook. We then replicate this phenomenon in an experiment, providing preliminary evidence for the role of affect as an explanatory mechanism. We conclude by isolating the role of affect with a classic misattribution task, which attenuates the elevated engagement resulting from exposure to calorie-dense food media. These findings contribute to the dialogue on the antecedents of social media engagement and offer implications for content developers, advertisers, consumer health advocates, and policymakers.     

Analyzing pedestrian behavior when crossing urban roads by combining RP and SP data

Considering the high crash rates involving pedestrians on urban roads, it is highly relevant to understanding pedestrian crossing behavior. This paper is the first to combine stated preference (SP) and revealed preference (RP) data to evaluate the impact that individual attributes, trip characteristics, built environment, strategies to prevent unauthorized crossing, and traffic flows have on pedestrians crossing decisions in an urban context. SP and RP surveys were designed and collected in Barranquilla (Colombia) near pedestrian bridges or signalized intersections where direct crossings and a high concentration of pedestrian fatalities related to traffic accidents exist. A logit model was estimated using the data enrichment paradigm. Results show that pedestrians weigh risks and costs when choosing how to cross the road. The trajectories observed in the RP component suggest that people prefer direct crossings; nevertheless, pedestrian bridges and signalized intersections can be attractive alternatives if their location matches the origin or destination of the crossing, and no detour is needed to use them. Waiting time; safety; the fine imposed for jaywalking; personal security, and previous decisions are also variables that influence pedestrian behavior when crossing urban roads. These results can be helpful to urban planners and decision-makers interested in proposing appropriate pedestrian infrastructure. The data pooling technique and the inclusion of a cost-related variable (i.e., fine) allowed computing the willingness to pay and marginal substitution rates for attributes of the built environment and other characteristics associated with the crossing decision. Also, the inclusion of several crossing alternatives and situations allowed assessing pedestrian crossing preferences under different scenarios.     

Is the hijab protective? An investigation of body image and related constructs among British Muslim women

Previous studies have reported equivocal findings concerning the impact of wearing a hijab, or Islamic head‐ and body‐cover, on Muslim women's body image. Here, we sought to examine that impact using a larger sample of Muslim women than has been relied upon and a wider range of body image measures. A total of 587 British Muslim women completed a battery of scales assessing their frequency and conservativeness of hijab use, body image variables, attitudes towards the media and beauty ideals, importance of appearance, and religiosity. Preliminary results indicated that 218 women never used the hijab and 369 women used some form of the hijab at least rarely. Controlling for religiosity, women who wore the hijab had more positive body image, lower internalization of media messages about beauty standards, and placed less importance on appearance than women who did not wear the hijab. Among women who wore the hijab, hijab use significantly predicted weight discrepancy and body appreciation over and above religiosity. These results are discussed in terms of the possible protective impact among British Muslim women of wearing the hijab.