The role of causal models in multiple judgments under uncertainty

Two studies examined a novel prediction of the causal Bayes net approach to judgments under uncertainty, namely that causal knowledge affects the interpretation of statistical evidence obtained over multiple observations. Participants estimated the conditional probability of an uncertain event (breast cancer) given information about the base rate, hit rate (probability of a positive mammogram given cancer) and false positive rate (probability of a positive mammogram in the absence of cancer). Conditional probability estimates were made after observing one or two positive mammograms. Participants exhibited a causal stability effect: there was a smaller increase in estimates of the probability of cancer over multiple positive mammograms when a causal explanation of false positives was provided. This was the case when the judgments were made by different participants (Experiment 1) or by the same participants (Experiment 2). These results show that identical patterns of observed events can lead to different estimates of event probability depending on beliefs about the generative causes of the observations.     

Attachment‐related expectations and mother‐referent memory bias in middle childhood

Understanding the cognitive processing of attachment‐relevant information has become a major focus of attachment research. Previous research demonstrated links between attachment and memory for attachment‐related information, but results were contradictory and did not control for mood‐effects. The current study aimed to provide a conceptual framework to capture inconsistencies. A straightforward memory bias hypothesis was derived and tested. Fifty children (aged 10–12) completed questionnaires assessing confidence in maternal support and depressive symptoms, and a memory task in which they recalled positive and negative words that referred to previous interactions with mother. Less confidence in maternal support and more depressive symptoms were linked to a more negative mother‐related memory bias. The effect of confidence in maternal support remained marginally significant when controlling for depressive symptoms, explaining the initial effect of depressive symptoms. These findings support attachment theory's hypothesis that attachment‐relevant information is processed in an attachment expectation‐congruent way.     

Does perceived steepness deter stair climbing when an alternative is available?

Perception of hill slant is exaggerated in explicit awareness. Proffitt (Perspectives on Psychological Science 1:110–122, 2006) argued that explicit perception of the slant of a climb allows individuals to plan locomotion in keeping with their available locomotor resources, yet no behavioral evidence supports this contention. Pedestrians in a built environment can often avoid climbing stairs, the man-made equivalent of steep hills, by choosing an adjacent escalator. Stair climbing is avoided more by women, the old, and the overweight than by their comparators. Two studies tested perceived steepness of the stairs as a cue that promotes this avoidance. In the first study, participants estimated the steepness of a staircase in a train station (n = 269). Sex, age, height, and weight were recorded. Women, older individuals, and those who were heavier and shorter reported the staircase as steeper than did their comparison groups. In a follow-up study in a shopping mall, pedestrians were recruited from those who chose the stairs and those who avoided them, with the samples stratified for sex, age, and weight status. Participants (n = 229) estimated the steepness of a life-sized image of the stairs they had just encountered, presented on the wall of a vacant shop in the mall. Pedestrians who avoided stair climbing by choosing the escalator reported the stairs as steeper even when demographic differences were controlled. Perceived steepness may to be a contextual cue that pedestrians use to avoid stair climbing when an alternative is available.     

Cognitive Behaviour Therapy for Children and Adolescents: Can Attachment Theory Contribute to Its Efficacy?

Meta-analyses consistently demonstrate that cognitive behaviour therapy (CBT) provides effective evidence-based treatment for children and adolescents with emotional and behaviour problems. Also consistent across meta-analyses is the observation that CBT treatment effects are often medium in size. This observation has instigated a search for factors that could help explain the limited treatment effects and that could be focused upon to enhance CBT treatment outcomes. The current qualitative review focuses on the parent–child attachment relationship as one factor that could be relevant to enhance CBT treatment effects. This review first acknowledges reasons why CBT has historically not been attracted to attachment theory and its postulates. Second, recent evidence is examined to evaluate whether attachment can be approached from a cognitive schema perspective. Subsequently, research is described showing how restoring attachment relationships could result in large treatment effects. Finally, this evidence is integrated in a model of attachment assessment and intervention that might be compatible with CBT. In sum, this review suggests that restoring trust in insecure parent–child attachment relationships can be integrated within CBT and could contribute to its treatment outcomes.