I’ll Never Forgive You: High Conflict Divorce,Social Network,and Co-Parenting Conflicts

The relation between divorce, co-parenting conflicts, and children’s adjustment problems has been well established. An unresolved question for research and clinical interventions, however, is how conflicts between parents are maintained and/or escalate. This cross-sectional research tested the hypothesis that co-parenting conflicts in divorced couples are associated with perceived social network disapproval and that this relation is mediated by parents’ tendency to forgive each other. In Study 1, a convenience sample of 136 divorced parents recruited via online forums, we showed that perceived social network disapproval was indeed positively related to co-parenting conflicts and that parents’ tendency to forgive the other parent—albeit partly—explained this relationship. Strength of our research is that in Study 2, 110 parents referred to children’s mental health care because the wellbeing of the children was severely compromised by the severity of the conflicts between parents, we replicated these results. In both studies perceived social network disapproval and co-parenting conflicts were positively related and this link was mediated by forgiveness: perceived social network disapproval was negatively related to forgiveness, which in turn was negatively related to more parental conflicts.     

Empathy, theory of mind, and individual differences in the appropriation bias among 4- and 5-year-olds

Evidence that young children often claim ownership of their partner’s contributions to an earlier collaborative activity, the appropriation bias, has been attributed to shared intentionality (Cognitive Development (1998) 13, 91–108). The current investigation explored this notion by examining individual differences in the bias among 4- and 5-year-olds as a function of empathy and theory of mind. On two occasions, children joined an adult and two dolls (with each doll being operated by one of the humans) in a picture matching board game before being asked to remember who placed each picture. Children showed a robust appropriation bias despite excellent recognition memory for the studied pictures (Study 1) and particularly in relation to the human sources (Study 2). Whereas higher levels of self-reported empathy were associated with a greater frequency of appropriation errors and fewer correct attributions for pictures placed by the adult and her doll partner, the opposite pattern emerged for theory of mind. Moreover, the positive relations between theory of mind and source monitoring accuracy remained robust after controlling for general ability and inhibitory skills. We consider the implications of these findings for understanding the processes driving the appropriation bias.     

Negative transfer in human associative learning

Models of attentional allocation in associative learning are typically structured according to one of two guiding principles: the predictiveness principle, which posits that attention is paid to cues that have reliably predicted an outcome in the past, or the uncertainty principle, which states that attention is paid to cues about which little is known. Both principles are well supported by studies of animals. However, in studies of human learning, there is very little direct empirical support for the uncertainty principle. In the study reported here, we addressed this gap by investigating negative transfer, a phenomenon that may provide unique support for the uncertainty principle. In two human learning experiments using an allergist task, we replicated the primary findings of previous research on animal learning. We believe that these data provide the first direct evidence for the uncertainty principle in human associative learning.     

Too late to coordinate: Contextual influences on behavioral synchrony

The temporal coupling of behavior serves as a foundation for effective social exchange with synchronized actions moderating core components of social‐cognitive functioning. Questions remain, however, regarding the precise conditions under which this form of behavioral coordination emerges. In particular, do social factors moderate the extent to which people synchronize their movements with others? Given that synchrony serves as an important non‐verbal route through which interpersonal connections can be forged, the current investigation considered whether contextual influences moderate the emergence of behavioral coupling. To explore this issue, movements were recorded while participants performed a repetitive activity (i.e., stepping) with an interaction partner who either turned up for the experiment on time or was 15 minutes late. Results revealed that coordination (i.e., in‐phase synchrony) was substantially reduced when participants interacted with a tardy partner, a finding that highlights the impact that social factors exert on the spontaneous emergence of behavioral synchrony. Copyright © 2009 John Wiley & Sons, Ltd.     

Subjective randomness and natural scene statistics

Accounts of subjective randomness suggest that people consider a stimulus random when they cannot detect any regularities characterizing the structure of that stimulus. We explored the possibility that the regularities people detect are shaped by the statistics of their natural environment. We did this by testing the hypothesis that people’s perception of randomness in two-dimensional binary arrays (images with two levels of intensity) is inversely related to the probability with which the array’s pattern would be encountered in nature. We estimated natural scene probabilities for small binary arrays by tabulating the frequencies with which each pattern of cell values appears. We then conducted an experiment in which we collected human randomness judgments. The results show an inverse relationship between people’s perceived randomness of an array pattern and the probability of the pattern appearing in nature.     

Aggressive behaviour in adult slot machine gamblers: an interpretative phenomenological analysis

A growing number of studies have reported a link between gambling and aggressive behaviour. The aim of this study was to contextualize objective findings of a previous observational study regarding slot machine gambling and aggressive behaviour (Parke & Griffiths, Psychological Reports, 95, 109–114, 2004). Interpretative Phenomenological Analysis was applied using the Idiographic Case Study method. The data revealed three superordinate themes regarding slot machine gambling‐induced aggression (i.e. Competitive Advantage Reduction, Self‐esteem Reduction, and Cognitive Regret). Within these superordinate themes, subordinate themes emerged identifying how environmental factors and structural characteristics of slot machine gambling, along with the consequences of losing, produced aggressive behaviour. It is concluded that gambling‐induced aggression is a manifestation of the underlying conflict of engaging in dysfunctional behaviour while consciously acknowledging its detrimental effects. Copyright © 2005 John Wiley & Sons, Ltd.     

Online therapy for addictive behaviors.

Clinicians working in the field of addictive behaviors cannot afford to ignore the Internet. Psychological advice, help, and treatment for addicts are no exceptions, with both counseling and psychotherapy entering the computer age. This paper reviews the main issues in the area and approaches the discussion acknowledging that online therapy has to be incorporated within the overall framework of the need for clinical assistance. The paper also provides brief overviews of some websites as illustrative examples of what types of online therapy are available.     

Modeling individual differences using Dirichlet processes

We introduce a Bayesian framework for modeling individual differences, in which subjects are assumed to belong to one of a potentially infinite number of groups. In this model, the groups observed in any particular data set are not viewed as a fixed set that fully explains the variation between individuals, but rather as representatives of a latent, arbitrarily rich structure. As more people are seen, and more details about the individual differences are revealed, the number of inferred groups is allowed to grow. We use the Dirichlet process—a distribution widely used in nonparametric Bayesian statistics—to define a prior for the model, allowing us to learn flexible parameter distributions without overfitting the data, or requiring the complex computations typically required for determining the dimensionality of a model. As an initial demonstration of the approach, we present three applications that analyze the individual differences in category learning, choice of publication outlets, and web-browsing behavior.