Maladaptive Emotional Schemas and Emotional Functioning: Evaluation of an Integrated Model Across Two Independent Samples

Journal of Rational-Emotive & Cognitive-Behavior Therapy - Recent advancements in emotion theory propose that emotional schemas—individualized conceptualizations and beliefs about...     

Gender and leadership emergence: A meta‐analysis and explanatory model

Research has shown that men tend to emerge as leaders more frequently than women. However, societal role expectations for both women and leaders have changed in the decades since the last empirical review of the gender gap in leader emergence (Eagly & Karau, 1991). We leverage meta‐analytic evidence to demonstrate that the gender gap has decreased over time, but a contemporary gap remains. To understand why this gap in leader emergence occurs, we draw on social role theory to develop a Gender‐Agency/Communion‐Participation (GAP) Model—an integrative theoretical model that includes both trait and behavioral mechanisms. Specifically, we examine a sequence of effects: from gender to agentic and communal personality traits, from these traits to behavioral participation in group activities, and ultimately from participation to leader emergence. The model is tested using original meta‐analyses of the personality and behavioral mechanisms (coding 1,632 effect sizes total). Gender differences in leadership emergence are predominately explained by agentic traits (positive) and communal traits (negative), both directly and through the mechanism of participation in group discussions. In addition, several paths in the theoretical model are moderated by situational contingencies. Our study enhances knowledge of the mechanisms and boundary conditions underlying the gender gap in leader emergence.     

Representing Sudden Shifts in Intensive Dyadic Interaction Data Using Differential Equation Models with Regime Switching

A growing number of social scientists have turned to differential equations as a tool for capturing the dynamic interdependence among a system of variables. Current tools for fitting differential equation models do not provide a straightforward mechanism for diagnosing evidence for qualitative shifts in dynamics, nor do they provide ways of identifying the timing and possible determinants of such shifts. In this paper, we discuss regime-switching differential equation models, a novel modeling framework for representing abrupt changes in a system of differential equation models. Estimation was performed by combining the Kim filter (Kim and Nelson State-space models with regime switching: classical and Gibbs-sampling approaches with applications, MIT Press, Cambridge, 1999) and a numerical differential equation solver that can handle both ordinary and stochastic differential equations. The proposed approach was motivated by the need to represent discrete shifts in the movement dynamics of \(n= 29\) mother–infant dyads during the Strange Situation Procedure (SSP), a behavioral assessment where the infant is separated from and reunited with the mother twice. We illustrate the utility of a novel regime-switching differential equation model in representing children’s tendency to exhibit shifts between the goal of staying close to their mothers and intermittent interest in moving away from their mothers to explore the room during the SSP. Results from empirical model fitting were supplemented with a Monte Carlo simulation study to evaluate the use of information criterion measures to diagnose sudden shifts in dynamics.     

The Relationship Between Religious and Psychospiritual Measures and an Inflammation Marker (CRP) in Older Adults Experiencing Life Event Stress

Journal of Religion and Health - Inflammation, often measured by C-reactive protein (CRP), is thought to be related to a number of debilitating illnesses as we age, including cardiovascular...     

Children's Understanding of the Natural Numbers’ Structure

When young children attempt to locate numbers along a number line, they show logarithmic (or other compressive) placement. For example, the distance between “5” and “10” is larger than the distance between “75” and “80.” This has often been explained by assuming that children have a logarithmically scaled mental representation of number (e.g., Berteletti, Lucangeli, Piazza, Dehaene, & Zorzi, 2010 ; Siegler & Opfer, 2003 ). However, several investigators have questioned this argument (e.g., Barth & Paladino, 2011 ; Cantlon, Cordes, Libertus, & Brannon, 2009 ; Cohen & Blanc‐Goldhammer, 2011 ). We show here that children prefer linear number lines over logarithmic lines when they do not have to deal with the meanings of individual numerals (i.e., number symbols, such as “5” or “80”). In Experiments 1 and 2, when 5‐ and 6‐year‐olds choose between number lines in a forced‐choice task, they prefer linear to logarithmic and exponential displays. However, this preference does not persist when Experiment 3 presents the same lines without reference to numbers, and children simply choose which line they like best. In Experiments 4 and 5, children position beads on a number line to indicate how the integers 1–100 are arranged. The bead placement of 4‐ and 5‐year‐olds is better fit by a linear than by a logarithmic model. We argue that previous results from the number‐line task may depend on strategies specific to the task.     

SOIL CARBON TRANSFORMATIONS

Climate change is a wicked problem with causes and consequences overlapping with other wicked problems and no single solution (Hulme 2015). For example, the frequent droughts associated with climate change exacerbate another major problem facing humanity as we enter the Anthropocene: how to produce adequate food to feed a growing population without increasing pollution or “more food with low pollution (MoFoLoPo)” (Davidson et al. 2015). Soils represent an intersection of these two wicked problems, because they are integral to food production through agriculture and also are an important component of global climate models. Recent focus in the field of soil carbon cycling has facilitated a transformation in our understanding of the processes that control this important resource. This understanding is critical to responding to both wicked problems.     

Cultural Differences in Visual Search for Geometric Figures

While some studies suggest cultural differences in visual processing, others do not, possibly because the complexity of their tasks draws upon high‐level factors that could obscure such effects. To control for this, we examined cultural differences in visual search for geometric figures, a relatively simple task for which the underlying mechanisms are reasonably well known. We replicated earlier results showing that North Americans had a reliable search asymmetry for line length: Search for long among short lines was faster than vice versa. In contrast, Japanese participants showed no asymmetry. This difference did not appear to be affected by stimulus density. Other kinds of stimuli resulted in other patterns of asymmetry differences, suggesting that these are not due to factors such as analytic/holistic processing but are based instead on the target‐detection process. In particular, our results indicate that at least some cultural differences reflect different ways of processing early‐level features, possibly in response to environmental factors.     

Call to Action: Family Therapy and Rural Mental Health

Rural communities experience considerable disparities in mental health. Research about this topic is limited, however, especially in the family therapy field. What is known comes primarily from work in other disciplines, which points to three primary barriers that prevent rural communities from accessing high quality mental health care: availability, accessibility, and acceptability of services. A search for papers published over the past 20 years in family journals yielded only 18 articles. A review of these articles in presented here, alongside a call for family clinicians and researchers to advance further contributions. Specific directions for such research are discussed, including telehealth technology, collaboration with existing structures and institutions in rural communities, and the need for more precise definitions and measures of rurality. Family clinicians and researchers are uniquely positioned to conceptualize systemic challenges that rural communities face, and would be advised to join other disciplines in developing innovative methods to address them.     

The Diffusion of Youth-Led Participatory Research in Urban Schools: The Role of the Prevention Support System in Implementation and Sustainability

This article discusses the dissemination of a process of youth-led participatory research in urban secondary schools within the Interactive Systems Framework for Dissemination and Implementation (ISF) developed in collaboration with the CDC and its university partners (Wandersman et al. American Journal of Community Psychology, 41(3-4) 2008). The focus here is on the development of the Prevention Support System with respect to general and innovation-specific capacity building. The specific process under study involves youth-led needs assessment and research to inform the planning of prevention programs and policies to address students' health and developmental needs. The article first briefly describes the youth-led research process, its potential benefits, and a case example in two urban secondary schools. It then describes challenges and responses in providing support for the diffusion of this model in 6 secondary schools. The settings are urban public schools with a majority of students of color from diverse ethnic groups: Asian-American, Latino, and African-American. This project constitutes a collaborative partnership with a university school of public health and community-based organizations (CBOs) to build capacity for long-term, sustainable implementation of this innovative process within the local school system. The perspectives of the university-based researcher and the CBO partners on the development and effectiveness of the Prevention Support System are presented.     

Mental exercising through simple socializing: social interaction promotes general cognitive functioning

Social interaction is a central feature of people's life and engages a variety of cognitive resources. Thus, social interaction should facilitate general cognitive functioning. Previous studies suggest such a link, but they used special populations (e.g., elderly with cognitive impairment), measured social interaction indirectly (e.g., via marital status), and only assessed effects of extended interaction in correlational designs. Here the relation between mental functioning and direct indicators of social interaction was examined in a younger and healthier population. Study 1 using survey methodology found a positive relationship between social interaction, assessed via amount of actual social contact, and cognitive functioning in people from three age groups including younger adults. Study 2 using an experimental design found that a small amount of social interaction (10 min) can facilitate cognitive performance. The findings are discussed in the context of the benefits social relationships have for so many aspects of people's lives.