What worries first-year students? Psychometric properties of the Student Worry Scale

The transition to university can be stressful for first-year university students. Despite the fact where the feeling of worry is a shared symptom by various mental health issues, there is a lack of studies that investigate into this matter. As worry is a domain-specific construct, there is a need for a valid and reliable measure of worry specifically for university students. Hence, this study aimed to evaluate the psychometric properties of the Student Worry Scale (SWS), particularly in terms of its validity and reliability. For this purpose, the current study recruited a sample of 295 first-year students to evaluate the psychometric properties of SWS. Exploratory factor analysis yielded a five-factor structure of SWS, which explained 55.7% of the total variance. The yielded five factors were general worries, financial-related concerns, significant other’s well-being, academic concerns, and social adequacy concerns. Inter-correlations between the five factors were all significant (r ranged between 0.395 and 0.625). The SWS demonstrated good internal consistency in this study (Cronbach’s alpha ranged between 0.786 and 0.941). Overall, the SWS is psychometrically evidenced to be a reliable and valid content-based worry measure specifically for university students.     

Early pathways to bullying: A prospective longitudinal study examining the influences of theory of mind and social preference on bullying behaviour during the first 3 years of school

Research has focused on the role of theory of mind (ToM) for positive social behaviour, while the association between ToM and negative social behaviours is less well understood. This longitudinal study compares two mediation models examining the role of ToM and peer-rated social preference at ages 5 and 6 for bullying at age 7. Participants were 114 children (58 boys, M_age = 67 months) at entry to primary school (T1). At Time 2 (T2), 106 children and, at Time 3 (T3), 96 children remained. Teacher-rated externalizing problems and children’s language ability were controlled at T1. Poor ToM was found to indirectly predict later bullying via poor social preference, while for boys only, greater earlier ToM directly predicted greater bullying 2 years later. These results suggest that there are different pathways to bullying via ToM and social preference , which has implications for interventions to prevent the development of bullying behaviour.     

Moral reasoning,emotion understanding,and callous-unemotional traits in early-to-middle childhood

Relatively little is known about features of moral reasoning among young children with callous-unemotional (CU) traits (e.g., lack of guilt and empathy). This study tested associations between CU traits and emotion attributions (i.e., identification of others’ emotional states) and justifications (i.e., explanations for those emotional states), across social scenarios involving discreet versus salient distress cues. The participants were boys aged 6-to-10 years (N = 50; M_age = 7 years 7 months), who were interviewed about 12 hypothetical scenarios (eight with discreet and four with salient distress cues). Regression models indicated that CU traits, in interaction with high levels of antisocial behaviour, were associated with reduced emotion attributions of fear in discreet but not salient immoral scenarios. Higher CU traits were also associated with reduced justifications referencing others’ welfare in discreet scenarios, and increased references to action-orientated justifications in salient scenarios. These findings suggest that CU traits are associated with early moral reasoning impairments and that salience of distress may be important to these processes.     

A meta-analysis of the relationship between moral disengagement and bullying roles in youth

Over the last several years, researchers have become increasingly interested in the influence of moral factors on bullying behaviors. This is the first meta-analytic review to exclusively examine the relationship between moral disengagement (MD) and the key bullying roles of bully, victim, defender, and bystander. Forty-seven independent samples examining a total of 43,809 children/adolescents (aged 7–19) were included in this meta-analysis. Results indicated a positive relationship between MD and bullying (r = 0.31; 95% CI [0.27, 0.34]), MD and victimization (r = 0.08; 95% CI [0.05, 0.12]), and a negative relationship between MD and defending (r = −0.11; 95% CI [−0.17, −0.04]). No significant relationship was found for MD and bystanding behavior. Moderators of bullying type (traditional vs. cyberbullying), reporting type (self vs. peer report), age, and gender were included in the analyses. The results are discussed in the context of relevant literature with particular emphasis on the importance of distinguishing between guilty and unconcerned bystanders, and the significant overlap between bullying and victimization in the cyber context.     

Retractions in the Engineering Field: A Study on the Web of Science Database

This study assesses the retractions of scientific articles in engineering journals indexed on the Web of Science from 1945 to 2015. The data set was built based on documents containing the keywords retracted, retraction, withdrawal, or redress. We used database exploration techniques, including Structured Query Language and analysis of variance, for data analysis. We analyzed 238 retractions published by 117 journals. The most common reason for retraction was unethical research, and higher impact factors journals tended to publish more retractions. In conclusion, most of the analyzed retractions were the result of unethical research and were retracted by editors.     

High test-retest reliability of a neural index of rapid automatic discrimination of unfamiliar individual faces

An important aspect of human individual face recognition is the ability to discriminate unfamiliar individual. Since many general processes contribute to explicit behavioural performance in individual face discrimination tasks, isolating a measure of unfamiliar individual face discrimination ability in humans is challenging. In recent years, a fast periodic visual stimulation approach (FPVS) has provided objective (frequency-locked) implicit electrophysiological indices of individual face discrimination that are highly sensitive at the individual level within a few minutes of testing. Here we evaluate the test-retest reliability of this response across scalp electroencephalographic (EEG) recording sessions separated by more than two months, in the same 30 individuals. We found no test-retest difference overall across sessions in terms of amplitude and spatial distribution of the EEG individual face discrimination response. Moreover, with only 4 stimulation sequences corresponding to 4 min of recordings per session, the individual face discrimination response was highly reliable in terms of amplitude, spatial distribution, and shape. Together with previous observations, these results strengthen the diagnostic value of FPVS-EEG as an objective and rapid flag for specific difficulties at individual face recognition in the human population.     

Children’s scale errors are a natural consequence of learning to associate objects with actions: A computational model

Young children sometimes attempt an action on an object, which is inappropriate because of the object size—they make scale errors. Existing theories suggest that scale errors may result from immaturities in children's action planning system, which might be overpowered by increased complexity of object representations or developing teleofunctional bias. We used computational modelling to emulate children's learning to associate objects with actions and to select appropriate actions, given object shape and size. A computational Developmental Deep Model of Action and Naming (DDMAN) was built on the dual‐route theory of action selection, in which actions on objects are selected via a direct (nonsemantic or visual) route or an indirect (semantic) route. As in case of children, DDMAN produced scale errors: the number of errors was high at the beginning of training and decreased linearly but did not disappear completely. Inspection of emerging object–action associations revealed that these were coarsely organized by shape, hence leading DDMAN to initially select actions based on shape rather than size. With experience, DDMAN gradually learned to use size in addition to shape when selecting actions. Overall, our simulations demonstrate that children's scale errors are a natural consequence of learning to associate objects with actions.     

Ethical and Regulatory Considerations for Using Social Media Platforms to Locate and Track Research Participants

As social media becomes increasingly popular, human subjects researchers are able to use these platforms to locate, track, and communicate with study participants, thereby increasing participant retention and the generalizability and validity of research. The use of social media; however, raises novel ethical and regulatory issues that have received limited attention in the literature and federal regulations. We review research ethics and regulations and outline the implications for maintaining participant privacy, respecting participant autonomy, and promoting researcher transparency when using social media to locate and track participants. We offer a rubric that can be used in future studies to determine ethical and regulation-consistent use of social media platforms and illustrate the rubric using our study team’s experience with Facebook. We also offer recommendations for both researchers and institutional review boards that emphasize the importance of well-described procedures for social media use as part of informed consent.