《Infant behavior & development》2021

The Welch Emotional Connection Screen (WECS) is a novel instrument that is a brief, practicable, evidenced-based observational screening tool for assessing relationship health between parent and child. The WECS requires observing 2−3 min of face-to-face interactions between parent and child, without toys, prompts, paradigms or technology. Here, we describe a translational project from the coding lab to the primary care provider via a residency training program conducted with 50 residents during a 30-day developmental and behavioral pediatrics medical resident education rotation. The aims of this study were to evaluate the efficacy of WECS pediatric resident training: 1) to improve residents' accuracy in recognizing the dyadic behaviors of emotional connection (EC) via WECS training; and 2) to improve residents' attitudes, self-efficacy, and perceived professional norms (ASPPN) pertaining to Early Relational Health in Pediatrics. Results indicate that using a rapid prototyping approach to training, residents improved in their identification of dyads showing low to midrange levels of emotional connection. As well, resident attitudes about the importance of relationship health in pediatrics and their self-efficacy in identifying emotional connection improved significantly after this brief resident training.  相似文献   

“Everybody Needs to Do Their Part,So We Can Get This Under Control.” Reactions to the Norwegian Government Meta-Narratives on COVID-19 Measures     

Sigrun Marie Moss  Ella Marie Sandbakken 《Political psychology》2021,42(5):881-898

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Feea R. Leifker  Karena Leo  Colin Adamo  Brian R. W. Baucom 《Suicide & life-threatening behavior》2021,51(1):8-18

Interpersonal risk and resilience factors are prominent in current conceptual models of suicide. A growing body of empirical evidence links suicidal thoughts and behaviors to a range of interpersonal phenomenon adding further support to the value of this line of inquiry. At present, research on interpersonal phenomenon focuses on assessing individuals' perceptions of interpersonal phenomenon, such as appraisals of burdensomeness, experienced loneliness, and thwarted belongingness. As this line of research continues to develop, we argue that it would be valuable to consider incorporating conceptual models of interpersonal phenomenon and corresponding methodological approaches from closely allied fields. After providing a brief overview of interpersonal models of suicide, we present an introduction to conceptual models of interpersonal phenomenon developed in relationship science, describe how these models can be applied to the study of interpersonal phenomenon in suicide research, and close with a guided tutorial on data collection and statistical analysis methods for testing hypotheses derived from these conceptual approaches. References for additional reading are provided, and the Appendix S1 provides simulated data sets and statistical code for the analyses in the tutorial section.  相似文献   

    

《Transportation Research Part F: Traffic Psychology and Behaviour》2021

Exploratory factor analysis (EFA) is a widely used statistical method in traffic and transportation research, particularly for the development and validation of measurement instruments. This article critically examines current practices in conducting and reporting EFA in published transportation studies. One hundred and eighty papers published between 2016 and 2018 were examined, of which eighty-two were included in the present study after applying eligibility criteria. The review suggests that the quality of EFA reported in the field is routinely poor: (a) researchers fail to provide sufficient information to be able to adequately assess the appropriateness and quality of both the input data and the reported output; and (b) the decisions underlying the choices of EFA methods are not justified and rely mostly on procedures advised against, particularly the Little-Jiffy approach. In summary, a significant gap between current practice and experts' recommendations exists. We provide some guidelines that may help in conducting, reporting and reviewing EFA in transportation research.  相似文献   

    

Louise Rolland  Beverley Costa  Jean‐Marc Dewaele 《Counselling and Psychotherapy Research》2021,21(1):107-117

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Joel Vos 《Counselling and Psychotherapy Research》2021,21(1):77-97

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《Cognitive and behavioral practice》2022,29(3):585-590

In this commentary, I advance the view that the scientist-practitioner gap is partly due to the research designs commonly used in psychotherapy research. Specifically, I believe that randomized controlled trials, which are important for establishing treatment efficacy and as leverage when making the case for the value of psychotherapy in relation to various stakeholders, are limited for further development of clinical theories. Instead, I find recent advances in cross-lagged panel modeling to be both clinically intuitive and stronger for causal inference than most other nonexperimental designs. In addition to discussing causal inference and clinical interpretation of cross-lagged panel models, I discuss the potential of improving mediation analysis, personalization of research, and studying issues of clinical timing. Finally, I briefly discuss some limitations of cross-lagged panel models. It is my belief that the use of these data analytic advances can make empirical research better live up to the innovations in Beck’s work.  相似文献   

    

《Cognitive Systems Research》2022

The Travelling Salesperson Problem (TSP) is a nondeterministic-polynomial hard (NP-hard) combinatorial problem that occurs in a wide range of industrial domains, including logistics, route finding, and computer wiring. Interestingly, despite the problem’s inherent computational difficulty, when presented in Euclidean space (ETSP), human participants can produce close-to-optimal solutions in near-linear time. However, when asked to compare and select the most optimum solution from a set of pre-defined competing solution options, participants can struggle. In this study we investigate this paradox by asking participants to compare four closed-loop Euclidean TSP solutions, in order to determine which solution they perceived to have the most optimal tour cost. We hypothesise that the extracted geometric properties have an effect on stimulus selection in a discrimination task (selection or no selection). Accordingly, we extracted four geometric properties from competing stimuli in order to create a perceptual activation function. Predictive analytics demonstrated that a classification model could identify the most optimal solution 97% of the time using the perceptual activation scores alone, yet human participants only correctly determined the most optimal solution 47% of the time. Mixed-effects models suggest that ‘likelihood of stimulus selection’ can be modelled as a function of the weighted coefficients of competing perceptual activation scores within each trial; however only a small amount of the variance is explained by these perceptual activation scores. Finally, a drift–diffusion model was used to create a theoretical framework of how likelihood of stimulus selection is influenced by competing perceptual activators. Our study highlights a novel way of extracting and analysing the importance of geometric properties that influence ETSP discrimination tasks, and links this analysis to human behaviour when discriminating between competing ETSP solutions.  相似文献   

    

《Psychology of sport and exercise》2022

ObjectiveThe demands of sport create psychological and physical challenges for athletes, making it essential to understand what factors contribute to mental health and performance optimization in sport. The purpose of this mixed-methods investigation was to develop a conceptual model for mental health and performance of North American athletes.MethodForty-three experienced athletes, coaches, and sport professionals identified, sorted, and rated 113 behaviors, thoughts, and feelings that contribute to optimal mental health and performance for athletes. Using Multidimensional Scaling, the research team created a two-dimensional point map of participant responses. Hierarchical Cluster Analysis was then used to reveal underlying clusters in the data.FindingsSeven clusters emerged from the data: Stress Management, Mental Skills, Self-Awareness, Managing Setbacks, Intentional Practice, Team Relationships, and Social Support. Though all clusters were rated as important to mental health and/or performance, the Managing Setbacks cluster displayed high importance ratings for both mental health and performance.ConclusionOur preliminary findings suggest a comprehensive approach to athlete thoughts, feelings, and behaviors contributes to optimal mental health and performance for North American athletes.  相似文献   

The constraint-led approach to enhancing team synergies in sport - What do we currently know and how can we move forward? A systematic review and meta-analyses     

《Psychology of sport and exercise》2020

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