Assertiveness and cognitive processing in interpersonal situations

This study examined social skills components that precede the delivery of a skilled overt interpersonal response. Using a cognitive-behavioral systems approach to assertiveness, a task analysis of how women receive and process information in interpersonal situations requiring an assertive response to men was performed. Forty women were assigned to high- or low-assertive groups based on their Rathus Assertiveness Schedule scores. In small group sessions, each woman viewed four videotaped problem situations requiring an assertive response to both pleasant and angry males. After viewing each scene, each woman completed three questionnaires: (a) receiving information, (b) processing-generation of alternatives and decision making, and (c) processing-generation of consequences. High- and low-assertive participants were found to differ in their evaluation of consequences, for response options, particularly how a male would likely to behave to them. High-assertive participants were judged to evaluate more correctly than low-assertive participants the likely behavior of males if response options were implemented. All participants generated more complex alternatives and more assertive responses to situations involving an angry male as compared to a pleasant male. No differences were found between groups in their ability to receive information accurately. Correlational results were supportive of a cognitive-behavioral systems approach of assertion, that is, the emission of a skilled response depends on a chain of preceding responses.Thanks are due to Vida Dyson and Lenard Jason for their comments on an early draft of this paper.     

Centering culture in the treatment of opioid use disorder with American Indian and Alaska Native Communities: Contributions from a National Collaborative Board

American Indian/Alaska Native (AI/AN) communities are disproportionally impacted by the opioid overdose epidemic. There remains a dearth of research evaluating methods for effectively implementing treatments for opioid use disorder (OUD) within these communities. We describe proceedings from a 2-day Collaborative Board (CB) meeting tasked with developing an implementation intervention for AI/AN clinical programs to improve the delivery of medications to treat OUD (MOUD). The CB was comprised of Elders, cultural leaders, providers, individuals with lived experience with OUD, and researchers from over 25 communities, organizations, and academic institutions. Conversations were audio-recorded, transcribed, and coded by two academic researchers with interpretation oversight provided by the CB. These proceedings provided a foundation for ongoing CB work and a frame for developing the program-level implementation intervention using a strength-based and holistic model of OUD recovery and wellbeing. Topics of discussion posed to the CB included engagement and recovery strategies, integration of extended family traditions, and addressing stigma and building trust with providers and clients. Integration of traditional healing practices, ceremonies, and other cultural practices was recommended. The importance of centering AI/AN culture and involving family were highlighted as priorities for the intervention.     

Social factors influence solo and rat dyads exploration of an unfamiliar open field

Animal Cognition - Exploring new and unfamiliar environments is critical for survival, providing information on food, shelter, mates, and sources of danger. The open field paradigm is commonly used...     

Predictors of COVID-19 precautionary behaviors to protect people with disabilities

Disability is conceptualized using one of two major frameworks: the medical and the social model of disability. The medical model of disability describes disability as an individual issue in which the appropriate intervention is to remove the disability. The social model of disability describes disability as a social construction in which the appropriate intervention is societal change to increase accessibility. This study drew on models of disability to understand predictors of engagement in COVID-precautionary behavior prior to the vaccine to protect people with disabilities (PWD) from contracting COVID-19. Participants (n = 720) with and without disabilities (n = 77 and n = 633, respectively) completed an online questionnaire measuring disability beliefs, attitudes toward PWD, concerns about PWD contracting COVID-19, and engagement in behavior protecting PWD from contracting COVID-19. Medical model beliefs were negatively associated with behavior. In addition, negative attitudes toward PWD and low concern about PWD contracting COVID-19 fully accounted for the relationship. Social model beliefs were positively associated with behavior. In addition, positive attitudes toward PWD and greater concern about PWD contracting COVID-19 partially explained the relationship. These findings suggest that framing disability as a social construction rather than a medical issue could promote greater public health behavior to protect PWD from contracting COVID.     

STATED WILLINGNESS TO PAY FOR PUBLIC GOODS:

Abstract— In the contingent valuation method for the valuation of public goods, survey respondents are asked to indicate the amount they are willing to pay (WTP) for the provision of a good. We contrast economic and psychological analyses of WTP and describe a study in which respondents indicated their WTP to prevent or to remedy threats to public health or to the environment, attributed either to human or to natural causes. WTP was significantly higher when the cause of a harm was human, though the effect was not large. The means of WTP for 16 issues were highly correlated with the means of other measures of attitude, including a simple rating of the importance of the threat. The responses are better described as expressions of attitudes than as indications of economic value, contrary to the assumptions of the contingent valuation method.     

Evaluating a computational model of perceptual grouping by proximity

A formal approach to the phenomenon of perceptual grouping by proximity was investigated. Grouping judgments of random dot patterns were made by the CODE algorithm (van Oeffelen & Vos, 1982) and several related algorithms, and these judgments were compared with subjects’ grouping judgments for the same stimuli. Each algorithm predicted significantly more subject judgments than would be expected by chance. The more subjects agreed on how a given dot pattern should be grouped, the more successful was the algorithms’ ability to match the judgments for that pattern. CODE predicted significantly fewer subject judgments than did some of the other algorithms, largely because of its overemphasis on the extent of interactivity among dots as they are being grouped.