Deconstructing trait anxiety: a network perspective

Background and objectives: For decades, the dominant paradigm in trait anxiety research has regarded the construct as signifying the underlying cause of the thoughts, feelings, and behaviors that supposedly reflect its presence. Recently, a network theory of personality has appeared. According to this perspective, trait anxiety is a formative construct emerging from interactions among its constitutive features (e.g., thought, feelings, behaviors); it is not a latent cause of these features.

Design: In this study, we characterized trait anxiety as a network system of interacting elements.

Methods: To do so, we estimated a graphical gaussian model via the computation of a regularized partial correlation network in an unselected sample (N?=?611). We also implemented modularity-based community detection analysis to test whether the features of trait anxiety cohere as a single network system.

Results: We find that trait anxiety can indeed be conceptualized as a single, coherent network system of interacting elements.

Conclusions: This radically new approach to visualizing trait anxiety may offer an especially informative view of the interplay between its constitutive features. As prior research has implicated trait anxiety as a risk factor for the development of anxiety-related psychopathology, our findings also set the scene for novel research directions.     

What if they are right? Network approval,expectations, and relationship maintenance behaviors

This study drew on uncertainty reduction and decision‐making theories to investigate how perceptions of approval of romantic relationships from family and friends can influence romantic partners' dynamics. Using a dyadic approach, the authors examined whether expectations of a partner's behavior in the relationship mediated the associations between perceived social network approval and relationship maintenance behaviors in a sample of 137 couples. The actor–partner interdependence mediation model (APIMeM) was applied. Results showed that women's and men's perceptions of approval from their own and their partner's network were associated with their own level of expectations of their partner's behaviors. In turn, women's and men's expectations were associated with their own and their partner's maintenance behaviors.     

Psychometric assessment of the processes of change scale for sun protection

The fourteen-factor Processes of Change Scale for Sun Protection assesses behavioral and experiential strategies that underlie the process of sun protection acquisition and maintenance. Variations of this measure have been used effectively in several randomized sun protection trials, both for evaluation and as a basis for intervention. However, there are no published studies, to date, that evaluate the psychometric properties of the scale. The present study evaluated factorial invariance and scale reliability in a national sample (N = 1360) of adults involved in a Transtheoretical model tailored intervention for exercise and sun protection, at baseline. Invariance testing ranged from least to most restrictive: Configural Invariance (constraints only factor structure and zero loadings); Pattern Identity Invariance (equal factor loadings across target groups); and Strong Factorial Invariance (equal factor loadings and measurement errors). Multi-sample structural equation modeling tested the invariance of the measurement model across seven subgroups: age, education, ethnicity, gender, race, skin tone, and Stage of Change for Sun Protection. Strong factorial invariance was found across all subgroups. Internal consistency coefficient Alpha and factor rho reliability, respectively, were .83 and .80 for behavioral processes, .91 and .89 for experiential processes, and .93 and .91 for the global scale. These results provide strong empirical evidence that the scale is consistent, has internal validity and can be used in research interventions with population-based adult samples.     

The impact of perceived effort–reward imbalance on workplace bullying: also a matter of organizational identification

Work environments characterized by inadequate work conditions have been widely recognized as being particularly prone to the occurrence and exacerbation of bullying behavior. Accordingly, this longitudinal study aimed to explore whether the impact of effort–reward imbalance (ERI) on workplace bullying was mediated by a lower perception of organizational justice, and whether the association between ERI and perceptions of justice was moderated by organizational identification. In the current study, a sample of N = 195 Spanish employees from different occupational sectors filled in an online questionnaire at two different times with a time lag of 8 months. In line with the hypothesized moderated mediation model, results showed that organizational justice mediated the impact of ERI on workplace bullying. Moreover, the effect of perceived ERI on organizational justice was stronger for employees with low organizational identification. Overall, this study can contribute to better understanding how and when ERI boosts the risk of workplace bullying. Accordingly, early intervention designed to buffer the negative effects of ERI should focus on increasing individual levels of organizational identification.     

Manager psychopathy,trait activation,and job performance: a multi-source study

Individuals high in psychopathy are often portrayed as more likely to display antisocial behaviour in the workplace and to demonstrate lower job performance. Current research on the impact of trait psychopathy in the workplace is characterized by divergent findings of moderate versus weak effects. We aim to address two potential causes for these discrepant results: mono-source bias and the failure to consider the situational factors that can activate psychopathy. In addition, we used the triarchic model of psychopathy, which incorporates the meanness dimension, a conceptualization of predatory orientation. Our multi-source design disconfirmed concerns that the effects of psychopathy are merely based on mono-source bias. More specifically, we found that the predatory orientation of managers high in psychopathy and especially high in the trait of meanness was behaviourally activated by high levels of ascendency prospects and prospects for income increases. High psychopathy, mediated by consideration towards subordinates and moderated by high ascendency prospects and high prospects for income increases, was associated with low supervisory job performance ratings. Implications and limitations of our findings and directions for future research are discussed.     

Posttraumatic growth and parental bonding in young adults of parents with physical disabilites: testing mediation model of resilience

Positive parent-child relationships are associated with positive youth development, but little is known about the relationships between parental bonding, resilience, and posttraumatic growth, which is positive change resulting from the struggle with trauma. This study examined a mediation model among 119 female young adults with disabled parents. The model included resilience as a mediator of the relationship between the paternal Care and posttraumatic growth. The results revealed that resilience did mediate the relationship between the paternal Care and posttraumatic growth. The findings indicate that paternal Care helps to foster female young adults’ resilience, which benefits their growth after suffering adversities.     

Therapeutic processes in group therapy: Intersections between general change mechanisms and motivational stages of change from patient perspective

Intersections between Grawe’s General Psychotherapy and Prochaska’s Transtheoretical Model were investigated in group therapy in a longitudinal design. It was assumed that general change mechanisms have an impact on patients’ stages of change. Specifically, the main hypotheses were that experiential change mechanisms (ECM; clarification of meaning, problem actuation, emotional bond and group cohesion) should be especially relevant for early stages of change (precontemplation and contemplation), whereas behavioral change mechanisms (BCM; resource activation, mastery/coping and task and goals) should be especially relevant for late stages of change (action and maintenance). Therefore, 140 outpatients attending different types of group therapy, with a typical duration of 8 sessions, were investigated. Patients completed the Form for the Evaluation of Therapeutic Processes in Group Therapy (FEPiG), the University of Rhode Island Change Assessment, short version (URICA-S) and several symptomatology measures (BDI-II, BSCL and IIP-32) at two measuring times. Intersections were analysed through correlational analyses, cross-lagged panels and a path-analytic model, supporting the hypotheses. Specifically, results suggested that experiencing ECM at t1 predicted higher levels of reported contemplation at t2. Patients experiencing higher levels of BCM at t1 reported higher levels of action at t2. Clinical implications of the results are discussed.     

Participants' perceptions of smartphone travel surveys

Smartphone travel surveys are becoming of central importance in collecting detailed, accurate data of people’s travel activities. As with their conventional survey counterparts, the quality of data collected through these surveys is adversely affected by participants’ non-response and resulting biases. However, little is known about the factors affecting people’s perceptions and intentions to continue participating in such surveys. Although literature has investigated the associations between individuals’ socio-demographic attributes and their likelihood of survey participation, the impact of their subjective perceptions and attitudes on their survey participation intentions and behaviour is underexplored. Hence, through a model of participants’ perceptions of smartphone travel survey applications (survey apps), this study aims to reveal such impacts and how they affect the participants’ intentions to continue participating in these surveys. In this study, a survey is designed and used to collect data in a smartphone travel survey before the participants are asked about their personal perceptions and attitudes. Partial least squares path modelling (PLS-PM) is applied to analyse the data, as it allows simultaneous estimation of the relationships between multiple latent constructs as well as the indicators of each construct. The results showed a significant, positive impact of the perceived “ease of use” and “usefulness” of the survey app as the technological medium of data collection on the participants’ “satisfaction” and “intention” to continue participating in the corresponding survey. The study also found that participants’ perceived “risk” associated with privacy concerns did not have any significant impact on their intention to continue participating in the survey.     

Modelling the human lane-change execution behaviour through Multilayer Perceptrons and Convolutional Neural Networks

Driving is a highly complex task that involves the execution of multiple cognitive tasks belonging to different levels of abstraction. Traffic emerges from the interaction of a big number of agents implementing those behaviours, but until recent years, modelling it by the interaction of these agents in the so called micro-simulators was a nearly impossible task as their number grows. However, with the growing computing power it is possible to model increasingly large quantities of individual vehicles according to their individual behaviours. These models are usually composed of two sub-models for two well-defined tasks: car-following and lane-change. In the case of lane-change the literature proposes many different models, but few of them use Computational Intelligence (CI) techniques, and much less use personalization for reaching individual granularity. This study explores one of the two aspects of the lane-change called lane-change acceptance, where the driver performs or not a lane-change given his intention and the vehicle environment. We demonstrate how the lane-change acceptance of a specific driver can be learned from his lane change intention and surrounding environment in an urban scenario using CI techniques such as feed-forward Artificial Neural Network (ANN). We work with Multilayer Perceptron (MLP) and Convolutional Neural Networks (CNN) architectures. How they perform one against the other and how the different topologies affect both to the generalization of the problem and the learning process are studied.