Examining the Impact of Technology on Exhibitionistic Behavior

Contemporary sexual behavior cannot be fully understood without considering the effects of smartphones and social networking websites, both of which have provided additional avenues for consensual sexual activity. However, technology has also created new ways to engage in deviant behavior that may be similar to exhibitionism (exposing one’s genitals to unsuspecting individuals). Participants completed a survey about traditional exhibitionistic behaviors (flashing) and technological sexual behaviors such as sending sexually explicit pictures. A small percentage of participants reported engaging in both technological and traditional exhibitionistic behavior, which may be indicative of an electronic manifestation of deviant sexual behavior.     

Implementing the Five-A Model of Technical Refinement: Key Roles of the Sport Psychologist

There is increasing evidence for the significant contribution provided by sport psychologists within applied coaching environments. However, this rarely considers their skills/knowledge being applied when refining athletes’ already learned and well-established motor skills. Therefore, this article focuses on how a sport psychologist might assist a coach and athlete to implement long-term permanent and pressure proof refinements. It highlights key contributions at each stage of the Five-A model—designed to deliver these important outcomes—providing both psychomotor and psychosocial input to the support delivery. By employing these recommendations, sport psychologists can make multiple positive contributions to completion of this challenging task.     

Multilevel factorial experiments for developing behavioral interventions: power, sample size, and resource considerations

Factorial experimental designs have many potential advantages for behavioral scientists. For example, such designs may be useful in building more potent interventions by helping investigators to screen several candidate intervention components simultaneously and to decide which are likely to offer greater benefit before evaluating the intervention as a whole. However, sample size and power considerations may challenge investigators attempting to apply such designs, especially when the population of interest is multilevel (e.g., when students are nested within schools, or when employees are nested within organizations). In this article, we examine the feasibility of factorial experimental designs with multiple factors in a multilevel, clustered setting (i.e., of multilevel, multifactor experiments). We conduct Monte Carlo simulations to demonstrate how design elements-such as the number of clusters, the number of lower-level units, and the intraclass correlation-affect power. Our results suggest that multilevel, multifactor experiments are feasible for factor-screening purposes because of the economical properties of complete and fractional factorial experimental designs. We also discuss resources for sample size planning and power estimation for multilevel factorial experiments. These results are discussed from a resource management perspective, in which the goal is to choose a design that maximizes the scientific benefit using the resources available for an investigation.     

SHS-Related Pediatric Sick Visits are Linked to Maternal Depressive Symptoms Among Low-Income African American Smokers: Opportunity for Intervention in Pediatrics

Maternal smoking and depressive symptoms are independently linked to poor child health outcomes. However, little is known about factors that may predict maternal depressive symptoms among low-income, African American maternal smokers—an understudied population with children known to have increased morbidity and mortality risks. The objective of this study was to test the hypothesis that secondhand smoke exposure (SHSe)-related pediatric sick visits are associated with significant maternal depressive symptoms among low-income, African American maternal smokers in the context of other depression-related factors. Prior to randomization in a behavioral counseling trial to reduce child SHSe, 307 maternal smokers in Philadelphia completed the Center for Epidemiologic Studies Depression (CES-D) and questionnaires measuring stressful events, nicotine dependence, social support, child health and demographics. CES-D was dichotomized at the clinical cutoff to differentiate mothers with significant versus low depressive symptoms. Results from direct entry logistic regression demonstrated that maternal smokers reporting more than one SHSe-related sick visit (OR 1.38, p < .001), greater perceived life stress (OR 1.05, p < .001) and less social support (OR 0.82, p < .001) within the last 3 months were more likely to report significant depressive symptoms than mothers with fewer clinic visits, less stress, and greater social support. These results suggest opportunities for future hypothesis-driven evaluation, and exploration of intervention strategies in pediatric primary care. Maternal depression, smoking and child illness may present as a reciprocally-determined phenomenon that points to the potential utility of treating one chronic maternal condition to facilitate change in the other chronic condition, regardless of which primary presenting problem is addressed. Future longitudinal research could attempt to confirm this hypothesis.     

Strategies Used by an Elite Curling Coach to Nurture Athletes’ Self-Regulation: A Single Case Study

Competition outcomes are a test of an athlete's ability to self-regulate; however, scant literature exists on how self-regulation processes are developed. This study investigated the strategies used by an elite curling coach to support co-regulation and help nurture his athletes’ self-regulation during a 16-week intervention involving multiple individual and group intervention sessions and interviews. The content analysis revealed that the coach utilized the following types of strategies to facilitate the athletes’ self-regulation: (a) preparatory strategies (e.g., anticipating/preparing for obstacles), (b) performance strategies (e.g., letting go of mistakes), and (c) self-reflection strategies (e.g., attributing errors to controllable aspects of performance).     

Illuminating and Applying “The Dark Side”: Insights From Elite Team Leaders

In contrast to socially desirable behaviors, recent work has implied that effective elite team leadership also relies on socially undesirable behaviors. Accordingly, this study aimed to further explore the authenticity of dark side leadership behaviors, what they look like, and how they may be best used. Via interviews with 15 leaders, behaviors associated with Machiavellianism/mischievousness, skepticism, social dominance, and performance-focused ruthlessness were found. Moreover, these behaviors were enabled by leaders’ sociopolitical awareness and engineering as well as their adaptive expertise. Findings promote practitioner sensitivity to dark side leadership and, for leader effectiveness, sociopolitical and temporal features of its application.     

Analytical Problems and Suggestions in the Analysis of Behavioral Economic Demand Curves

Behavioral economic demand curves (Hursh, Raslear, Shurtleff, Bauman, & Simmons, 1988) are innovative approaches to characterize the relationships between consumption of a substance and its price. In this article, we investigate common analytical issues in the use of behavioral economic demand curves, which can cause inconsistent interpretations of demand curves, and then we provide methodological suggestions to address those analytical issues.

We first demonstrate that log transformation with different added values for handling zeros changes model parameter estimates dramatically. Second, demand curves are often analyzed using an overparameterized model that results in an inefficient use of the available data and a lack of assessment of the variability among individuals.

To address these issues, we apply a nonlinear mixed effects model based on multivariate error structures that has not been used previously to analyze behavioral economic demand curves in the literature. We also propose analytical formulas for the relevant standard errors of derived values such as P _max, O _max, and elasticity. The proposed model stabilizes the derived values regardless of using different added increments and provides substantially smaller standard errors. We illustrate the data analysis procedure using data from a relative reinforcement efficacy study of simulated marijuana purchasing.     

African American Children's Ability to Identify Emotion in Facial Expressions and Tones of Voice of European Americans

This study examined whether African American children's ability to identify emotion in the facial expressions and tones of voice of European American stimuli was comparable to their European American peers and related to personality, social competence, and achievement. The Diagnostic Analysis of Nonverbal Accuracy (DANVA; Now-icki & Duke, 1994) was administered to 84 African American children. It was found that they performed less accurately on adult and child tones of voice and adult facial expressions. Further, girls' ability to read emotion in tones of voice was related to better social competence and achievement, whereas boys' ability to identify emotion in adult tones of voice was related to teacher-rated social competence. Results suggest that more research is needed with ethnic groups to clarify the impact of nonverbal processing skills on social and achievement outcomes.