Utilizing Creative Expressive Techniques and Group Counseling to Improve Adolescents of Divorce Social-Relational Capabilities

Adolescents of divorce present challenges for mental health counselors unfamiliar with issues this population encounters. Problems such as negative societal perceptions and low behavioral self-efficacy can combine, causing long-lasting problems. Specifically, adolescents of divorce appear to be at risk for developing inadequate social/relational capabilities. To improve adolescents’ relational and social competencies, the authors advocate for a creative combination of expressive techniques and group counseling. This brief, six-week intervention may be a viable, creative tool for counselors working with this distinct client population.     

Experimenter Characteristics and Word Choice: Best Practices When Administering an Informed Consent

The present research seeks to better understand research conditions in laboratory research, with special attention paid to the informed consent process and experimenter characteristics. The first study tested the impact of language perspective and experimenter demeanor upon participant retention of the informed consent information, attitudes toward the research project, and performance on experimental tasks. The second study examined the impact of experimenter attire. Across the two studies, our results suggest that there was no impact of language perspective, whereas the number of other participants in the laboratory, experimenter attire, and experimenter demeanor influence participant behaviors in the laboratory.     

Understanding Change in Recycling and Littering Behavior Across a School Social Network

Understanding how communities change requires examining how individuals’ beliefs and behaviors are shaped by those around them. This paper investigates behavior change across a large social network following a recycling intervention in a New Zealand high school community. We used a mixed methods design, combining focus group data with social network analysis from two waves of a questionnaire that measured friendship networks; recycling and littering behaviors; perceived behavioral norms; and teacher, friend, and parent encouragement for these behaviors. Recycling behavior increased significantly over the course of our study. Supporting the importance of social networks in this context, both littering and recycling behavior showed clear social clustering. Further, the degree of change in an individuals’ littering and recycling behavior across time was predicted by friends’ prior behavior. Focus group data provided insight into students’ perceptions of social interactions and how these contributed to littering and recycling behavior.     

Entrepreneurship in young adults: Initial findings from the young entrepreneurs study

The scientific study of youth entrepreneurship is truly in its infancy, with research on the development of entrepreneurship constrained by theoretical foundations that rely on static, trait-like approaches that equate entrepreneurship with stable personality characteristics. In this article, we define entrepreneurship as a fluid process that relies on the bidirectional interplay between a developing individual and his or her context. We report initial findings from the Young Entrepreneurs Study that clarify how entrepreneurial intentions and actions manifest in youth. We present quantitative analyses that examined the relations between entrepreneurial strengths and entrepreneurial activities in a sample of 3461 college students, and we describe the results of semi-structured interviews from a 48-person subset of our larger sample that explored how entrepreneurial intentions and actions manifested in our sample. We describe a mixed-method triangulation that integrates these two sets of findings, then discuss implications for future research.     

Uncovering unknown unknowns: Towards a Baconian approach to management decision-making

Bayesian decision theory and inference have left a deep and indelible mark on the literature on management decision-making. There is however an important issue that the machinery of classical Bayesianism is ill equipped to deal with, that of “unknown unknowns” or, in the cases in which they are actualised, what are sometimes called “Black Swans”. This issue is closely related to the problems of constructing an appropriate state space under conditions of deficient foresight about what the future might hold, and our aim is to develop a theory and some of the practicalities of state space elaboration that addresses these problems. Building on ideas originally put forward by Bacon (1620), we show how our approach can be used to build and explore the state space, how it may reduce the extent to which organisations are blindsided by Black Swans, and how it ameliorates various well-known cognitive biases.     

Abduction by Philosophers: Reorienting Philosophical Methodology

A reorientation is needed in methodological debate about the role of intuitions in philosophy. Methodological debate has lost sight of the reason why it makes sense to focus on questions about intuitions when thinking about the methods or epistemology of philosophy. The problem is an approach to methodology that focuses almost exclusively on questions about some evidential role that intuitions may or may not play in philosophers’ arguments. A new approach is needed. Approaching methodological questions about the role of intuitions in philosophy with an abductive model of philosophical inquiry in mind will help ensure the debate doesn't lose sight of what motivates the debate.     

Data Analytic Advances That Bridge the Scientist-Practitioner Gap

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.     

A conceptual model for mental health and performance of North American athletes: A mixed methods study

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.     

Perceived optimality of competing solutions to the Euclidean travelling salesperson problem

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.