Promoting the emergence of advanced knowledge: A review of peak relational training system: Direct training module by Mark R. Dixon

Mark Dixon's (2014) manual, PEAK Relational Training System: Direct Training Module, proposes a novel approach to manualized evaluation and curriculum development. Dixon's PEAK system, introduced in the book as the first of four modules, translates derived relational responding methodology into a new verbal‐behavior approach. The PEAK system is firmly rooted in the basic, conceptual, and applied behavior‐analytic tradition; however, it differs substantially from the competition in its unique application of relational frame theory to produce efficient learning. The manual's accessible nature renders it a viable product for many users and readers. The growing empirical support for PEAK’s efficacy, usability, and psychometrics is impressive and provides a robust empirical basis for the system that is not described within the pages of the manual. Behavior analysts may shy away from a manualized system that explicitly omits discussion of scholarship and empirical bases but would be remiss in doing so, given the potential of PEAK to revolutionize the way clinicians and parents apply the verbal behavior approach.     

Minority representation,tokenism, and well-being in army units

Racial and ethnic diversity is increasing in the US Army and women are moving into more combat roles. This puts minority soldiers at risk for being underrepresented in their work units. Tokenism theory predicts that when a work group has less than 15% representation in a social group, the numerically underrepresented minority (i.e., token) members are subject to three disadvantages: higher visibility, informal isolation, and role encapsulation. In the Army, where many companies contain small numbers of women and racial minorities, some soldiers may face additional stressors and constraints. We explored psychosocial, organizational, and health outcomes of all identifiable token women (N = 4,425) and Black soldiers (N = 5,040). Tokens were remarkably similar to non-tokens and majority soldiers on outcomes such as coping skills, adaptability, organizational trust, sleep, substance use, and pain. The intersection of token status in terms of race and gender was not related to any appreciable differences. One potential explanation is the shared Army culture that emphasizes group unity and the importance of the mission above individual characteristics and goals. The Army depends on cohesion, organizational identification, and commitment to the group in order to reduce stress and anxiety, and to maximize combat performance. For soldiers who have internalized this culture, it could be easier to see past individual differences such as gender and race and identify others in the unit as fellow soldiers primarily.     

Finding MAPs using strongly equivalent high order recurrent symmetric connectionist networks

Belief revision is the problem of finding the most plausible explanation for an observed set of evidences. It has many applications in various scientific domains like natural language understanding, medical diagnosis and computational biology. Bayesian Networks (BN) is an important probabilistic graphical formalism widely used for belief revision tasks. In BN, belief revision can be achieved by finding the maximum a posteriori (MAP) assignment. Finding MAP is an NP-Hard problem. In previous work, we showed how to find the MAP assignment in BN using High Order Recurrent Neural Networks (HORN) through an intermediate representation of Cost-Based Abduction. This method eliminates the need to explicitly construct the energy function in two steps, objective and constraints. This paper builds on that previous work by providing the theoretical foundation and proving that the resultant HORN used to find MAP is strongly equivalent to the original BN it tries to solve.     

Relational Message Interpretations of Nonverbal Matching Behavior: An Application of the Social Meaning Model

Abstract

The social meaning model asserts that some nonverbal behaviors have consensually recognized relational meanings within a given social community. According to this perspective, the interpretations made by encoders, decoders, and 3rd-party observers of the same nonverbal behavior should be congruent. The authors applied the model to the identification of relational message interpretations of nonverbal matching behavior. Confederates either matched or did not match the nonverbal behaviors of conversational participants while being watched by nonparticipant observers. All three nonconfederate participants provided interpretations of the confederates' relational messages. As the authors had expected, there were moderate correlations between the 3 perspectives, with observers usually providing less favorable assessments than the conversational participants. The authors also examined the influence of positive and negative stimulus behavior on relational message interpretations.     

Relational learning in a context of transposition: a review

In a typical transposition task, an animal is presented with a single pair of stimuli (for example, S3+ S4−, where plus and minus denote reward and nonreward and digits denote stimulus location on a sensory dimension such as size). Subsequently, an animal is presented with a testing pair that contains a previously reinforced or nonreinforced stimulus and a novel stimulus (for example, S2–S3 and S4–S5). Does the choice of a novel S2 instead of previously reinforced S3 in a testing pair S2–S3 indicate that the animal has learned a relation (i.e., “select smaller”)? This review of empirical evidence and theoretical accounts shows that an organism''s behavior in a transposition task is undoubtedly influenced by prior reinforcement history of the training stimuli (Spence, 1937). However, it is also affected by two other factors that are relational in nature—a similarity of two testing stimuli to each other and an overall similarity of the testing pair as a whole to the training pair as a whole. The influence of the two latter factors is especially evident in studies that use multiple pairs of training stimuli and a wide range of testing pairs comprising nonadjacent stimuli (Lazareva, Miner, Young, & Wasserman, 2008; Lazareva, Wasserman, & Young, 2005). In sum, the evidence suggests that both prior reinforcement history and relational information affect an animal''s behavior in a typical transposition task.     

An Examination of Network Position and Childhood Relational Aggression: Integrating Resource Control and Social Exchange Theories

Applying resource control theory and social exchange theory, we examined the social network conditions under which elementary age children were likely to engage in relational aggression. Data on classroom peer networks and peer‐nominated behaviors were collected on 671 second‐ through fourth‐grade children in 34 urban, low‐income classrooms. Nested regression models with robust cluster standard errors demonstrated that the association between children's number of relationships and their levels of relational aggression was moderated by the number of relationships that their affiliates had. Children with more peer relationships (i.e., higher network centrality) exhibited higher levels of relational aggression, but only when these relationships were with peers who had fewer connections themselves (i.e., poorly connected peers). This finding remained significant even when controlling for common predictors of relational aggression including gender, overt aggression, prosocial behavior, victimization, social preference, and perceived popularity. Results are discussed in terms of their implications for advancing the literature on childhood relational aggression and their practical applications for identifying children at risk for these behaviors.     

‘I love you’. How to understand love in couple therapy? Exploring love in context

Acknowledging the place of love in couple therapy requires therapists to reflect upon what love means to them. We propose that love defines the couple relationship and in turn the relationship defines love. In this article we explore and focus on our conceptualization of love and its influence on couple therapy. Exploring love in the context of the phrase ‘I love you’ leads us to consider built‐in contradictions. These contradictions can be contextualized and understood in a relational dialectic framework. Implications for therapy are explored and briefly illustrated in a case vignette.     

Psychopathic personality traits in relational aggression among young adults

Psychopathy is a robust predictor of overt physical aggression that may also be relevant to relational aggression (RA). This study was conducted to investigate the utility of psychopathic personality traits in the prediction of RA in a sample of 291 college students. Hierarchical multiple regression analyses indicated that both primary and secondary psychopathic traits explained additional variance in general/peer and romantic RA beyond physical aggressiveness. Consistent with previous research, no gender differences were found on either form of RA, challenging the popular stereotype of RA as a female behavior. Moreover, psychopathic traits were not differentially predictive of RA by gender or level of physical aggressiveness. Implications of these findings for research and clinical practice are discussed.     

We're Closer than I Thought: Social Network Heterogeneity,Morality, and Political Persuasion

Literature in the area of social networks indicates that increases in perceived social network attitudinal heterogeneity generate increased openness to attitude change. Recent evidence in the area of morality, however, shows that morally based attitudes are particularly resistant to persuasion and can result in the rejection of disagreeing others. Positing that considering morality would reduce network influence, an experiment varied moral cues presented along with a non‐network persuasive message while holding the actual content constant. Results demonstrate that morality and network composition interact to predict persuasion, such that when people are not cued to consider morality increased network heterogeneity predicts increased persuasion, but when identical messages are presented in a way that invokes morality the impact of network heterogeneity disappears or even reverses marginally. This interactive effect was replicated in two very different political issues: gay adoption and nationalized healthcare. Implications for persuasion by morally motivated sources independent of the effects of specific moral arguments are discussed.