Translating Empirically Supported Strategies Into Accessible Interventions: The Potential Utility of Exercise for the Treatment of Panic Disorder

Many patients suffering from panic disorder do not receive adequate care. Advances in the conceptualization and treatment of panic disorder encourage innovative strategies for targeting core fears (fears of anxiety sensations) that underlie this disorder. In this article, we discuss the use of exercise as a potential strategy for therapeutic exposure to these feared sensations, and the role that exercise may play as an acceptable intervention to aid the dissemination of exposure-based approaches to the treatment of panic disorder. Evidence for the efficacy of exercise for the treatment of anxiety and panic is presented; along with strategies to enhance the role exercise can play as an interoceptive (internal sensation) exposure procedure. Finally, issues of comorbidity and exercise acceptability are discussed. Our conclusion is that exercise-based interventions are promising strategies for improving the utilization of exposure-based interventions for panic disorder. Clinical guidelines and future research directions are discussed.     

Getting the Job: Attributional Retraining and the Employment Interview1

This study examined the effectiveness of attributional retraining (AR) in an employment interview setting. Our sample consisted of 50 co‐operative education students completing job interviews who were randomly assigned to a control or writing‐based AR condition. Dependent measures included attributions, expectations, and affect, as well as behavior with respect to an interview skills workshop, and actual employment outcomes. Results showed AR to promote controllable failure attributions, expectations, motivated behavior, and interview success, particularly among participants with maladaptive baseline attributions. Findings further revealed AR effects on emotions mediated by post‐treatment attributions. Implications for attribution theory and research on AR in employment settings are discussed.     

A computational technique for improving estimates of discriminability and bias across multiple dimensions of choice

Brown and White (2009) proposed measures of discriminability and bias that accommodate additional dimensions of choice—and hence, bias—in conditional discriminations such as matching-to-sample and the yes-no signal detection task. Their proposed measures increase the statistical independence of discriminability and bias estimates, thus improving their accuracy. Because Brown and White’s (2009) equations partition response data more than do standard equations, however, their measures have a slightly lower ceiling. Consequently, measurements can be less accurate when there are few trials and discriminability and bias are extreme. We introduce a computational estimation technique that overcomes this limitation. It estimates Brown and White’s (2009) discriminability and bias measurements from an array of related measures that have a higher ceiling. Simulations show that resulting estimates of discriminability and bias are either comparable to or more accurate than measurements calculated from traditional equations or Brown and White’s (2009) direct measures, even with few trials. A worked example of our technique may be downloaded from brm.psychonomic-journals.org/ content/supplemental.     

Observational learning use and self-efficacy beliefs in adult sport novices

ObjectivesThe purposes of this study were to investigate adult sport novices' use of the functions of observational learning and to examine its relationship to their self-efficacy beliefs to learn sport-related skills and strategies, and to regulate mental states during the learning process.MethodAdults enrolled in beginner level sport classes completed the Functions of Observational Learning Questionnaire (FOLQ; Cumming, J., Clark, S.E., Ste-Marie, D.M., McCullagh, P., & Hall, C. (2005). The functions of observational learning questionnaire (FOLQ). Psychology of Sport and Exercise, 6, 517–537.) as well as a self-efficacy questionnaire. Internal consistencies were acceptable for all subscales and a factor analysis confirmed that this instrument can be used with sport novices.ResultsAthletes' use of observational learning and their self-efficacy beliefs differed according to sport type. Hierarchical multiple regression analyses revealed that for adults learning an independent sport, more frequent use of the skill function of observational learning predicted higher self-efficacy to learn skills and self-efficacy to learn strategies. For adults learning an interactive sport, more frequent use of the performance function predicted higher self-efficacy to regulate mental states during the learning process.ConclusionsResults suggest that factors related to specific sport types, such as sport demands and model availability, may differentially influence learners' use of observational learning as well as its impact on their self-efficacy for learning technical sport components and self-efficacy for controlling their mental state during learning. This has implications for sport instructors and coaches regarding optimal methods for structuring observational learning experiences to enhance learners' self-efficacy beliefs.     

Monkey business: Children’s use of character identity to infer shared properties

Children’s toys provide a rich arena for investigating conceptual flexibility, because they often can be understood as possessing an individual identity at multiple levels of abstraction. For example, many dolls (e.g., Winnie-the-Pooh) and action figures (e.g., Batman) can be construed either as characters from a fictional world or as physical objects in the real world. In two experiments, 72 4- and 5-year-olds took part in a property extension task, the results of which provide evidence of an understanding that (1) two representations of a character share certain properties in virtue of their shared character identity, and this sharing does not stem simply from having the same name, and (2) one representation of a character is more likely to share properties with another representation of the character if the properties were acquired by the character than if they were acquired by the representation. Children’s understanding of a representational object’s abstract character identity thus enabled them to transcend using its unique spatio-temporal history as a sole basis for inferring its idiosyncratic properties.     

The medium can influence the message: Print-based versus digital reading influences how people process different types of written information

While electronic reading devices are extremely popular, research is equivocal regarding their benefits for outcomes such as reader comprehension. Integrating literatures on reading medium comparisons and matching effects in persuasion, this research tested whether comprehension is maximized when the content of the material (e.g., whether it is traditional vs. modern) matches the medium (e.g., reading from a traditional book vs. digital e-reader). In Study 1, participants read a traditional- or modern-themed short story from either a book or an e-reader. Story comprehension was greater when participants read from the printed medium compared to the e-reader, an effect that was marginally moderated by story content, consistent with a matching effect. In Study 2, participants read a persuasive message that emphasized either a traditional versus modern solution to improving health in either a magazine format or on an iPad. Message comprehension was marginally greater among participants who read their message in a printed format. Participants’ interest in weight loss showed evidence of a matching effect – participants were more interested in losing weight when a modern solution to obesity article was presented on an iPad compared to a printed format. The results are applied to the study of reading and attitude change.     

Interpreting functional analysis outcomes using automated nonparametric statistical analysis

Current methods employed to interpret functional analysis data include visual analysis and post-hoc visual inspection (PHVI). However, these methods may be biased by dataset complexity, hand calculations, and rater experience. We examined whether an automated approach using nonparametric rank-based statistics could increase the accuracy and efficiency of functional analysis data interpretation. We applied Automated Nonparametric Statistical Analysis (ANSA) to a sample of 65 published functional analyses for which additional experimental evidence was available to verify behavior function. Results showed that exact behavior function agreement between ANSA and the publications authors was 83.1%, exact agreement between ANSA and PHVI was 75.4%, and exact agreement across all 3 methods was 64.6%. These preliminary findings suggest that ANSA has the potential to support the data interpretation process. A web application that incorporates the calculations and rules utilized by ANSA is accessible at https://ansa.shinyapps.io/ansa/     

Hooking-Up,Religiosity, and Sexting Among College Students

Journal of Religion and Health - The purpose of this study was to evaluate the mediation effect of sexting, and taking sexually suggestive photos on religiosity and hooking-up with three separate...     

The Need for Inclusion: The relationships between Relational and Collective inclusion needs and psychological well-and ill-being

The Need to Belong concept encompasses the need for inclusion and the discomfort with exclusion. The Need to Belong Scale of Leary, Kelly, Cottrell, and Schreindorfer (2013, p. 610), however, primarily probes into the discomfort aspect, and it does not distinguish between relational and collective self-levels. Two studies (total N = 429) provided evidence of the reliability, distinctiveness, and validity of the newly developed Need for Inclusion scale. The results revealed that Relational Need for Inclusion positively contributes to psychological well-being and negatively to ill-being. Collective Need for Inclusion was distinctively related to collective and group-level outcomes of self, such as social trust and collective self-esteem. Need to Belong yielded a reversed pattern of results for the studied outcomes. It is concluded that inclusion needs and discomfort with exclusion are positively related but clearly distinct, and that future studies should investigate their joint effects in a single research design.