Asymmetric Comparison in Choice Processes

Since Tversky's (1977) seminal paper on asymmetric comparisons was published, comparisons of different options are generally believed to be directional. Interestingly, the asymmetry involved in comparisons has not been considered systematically for choices between different options. This paper argues that, in decision situations, one of the options serves as a dominant standard against which the others are evaluated, which results in asymmetric comparisons and, in turn, has important and systematic consequences for the choice process. This paper outlines which conditions should result in asymmetric comparisons. Taking existing models of asymmetric comparisons into account, a process model will be presented using the loss of a previously available choice option as an example.     

The Role of Inference in Attribute Framing Effects

Previous research has shown that a speaker's choice between logically equivalent frames is influenced by reference point information, and that listeners draw accurate inferences based on the frame. Less clear, however, is whether these inferences play a causal role in generating attribute framing effects. Two experiments are reported, which suggest that frame‐dependent inferences are sufficient to generate attribute framing effects, and that blocking such inferences may block framing effects. Experiment 1 decomposed the typical framing design into two parts: One group of participants saw a target described in one of two attribute frames and reported their estimates (inferences) of the typical attribute value. These estimates were then given to a second group of yoked participants, who evaluated the target. Although this latter group was not exposed to different attribute frames, they nevertheless exhibited a “framing effect” as a result of receiving systematically different inferences. In contrast, Experiment 2 shows that experts—who are familiar with an attribute's distribution and are therefore less likely to draw strong frame‐based inferences—exhibit a diminished framing effect. Together, these findings underscore the role of inferences in the generation and attenuation of attribute framing effects. Copyright © 2017 John Wiley & Sons, Ltd.     

Who benefits the most? Teacher expectations and their relation with students’ achievement in mathematics in primary school

Over the past 50 years, many studies have investigated the impact of teacher expectations on student achievement and indicated small to moderate effects. Currently, it is still unclear which student-related factors (e.g. socioeconomic status, or gender) moderate the expectation effect. There is still a need to gain a better understanding of the relation between teacher expectations and students' characteristics. The present study aims to examine the accuracy of teacher expectations as well as student-related moderators of the expectation effects on students' achievement. The analyses are based on data from a longitudinal study including 28 primary school teachers and their students (N = 509). The results show that high expectations of teachers correlated positively with student achievement in mathematics, although no significant moderating effects were found. These findings strengthen the importance of ensuring high teacher expectations for all students.     

One executive function never comes alone: monitoring and its relation to working memory,reasoning, and different executive functions

Monitoring is involved in many daily tasks and is described in several theoretical approaches of executive functioning. This study investigated the relative relationship of cognitive processes that are theoretically relevant to monitoring, such as concept formation, reasoning, working memory, and general cognitive control functions. Data from 699 participants who performed the Balanced Switching Task, aiming at capturing monitoring, were used. Subsamples also performed standard tasks assessing the processes assumed to be related to monitoring. Structural equation modeling revealed that general cognitive control processes are particularly relevant. They mediate the relationship between working memory, reasoning, and monitoring. Updating and maintaining information, as well as concluding from information which strategies can guide behavior toward predefined goals, is required for the ability to exert general cognitive control, which again may be relevant for implementing strategies in a goal-directed way. Together, these processes seem to be necessary to adequately monitor behavior in complex tasks.     

Lost in space: multisensory conflict yields adaptation in spatial representations across frames of reference

According to embodied cognition, bodily interactions with our environment shape the perception and representation of our body and the surrounding space, that is, peripersonal space. To investigate the adaptive nature of these spatial representations, we introduced a multisensory conflict between vision and proprioception in an immersive virtual reality. During individual bimanual interaction trials, we gradually shifted the visual hand representation. As a result, participants unknowingly shifted their actual hands to compensate for the visual shift. We then measured the adaptation to the invoked multisensory conflict by means of a self-localization and an external localization task. While effects of the conflict were observed in both tasks, the effects systematically interacted with the type of localization task and the available visual information while performing the localization task (i.e., the visibility of the virtual hands). The results imply that the localization of one’s own hands is based on a multisensory integration process, which is modulated by the saliency of the currently most relevant sensory modality and the involved frame of reference. Moreover, the results suggest that our brain strives for consistency between its body and spatial estimates, thereby adapting multiple, related frames of reference, and the spatial estimates within, due to a sensory conflict in one of them.     

Comparing Cognitive Behavioral Therapy and Systemic Therapy for Social Anxiety Disorder: Randomized Controlled Pilot Trial (SOPHO-CBT/ST)

This randomized controlled trial (RCT) aimed to pilot the newly developed manualized and monitored systemic therapy (ST) for social anxiety disorder (SAD), as compared to manualized and monitored cognitive behavioral therapy (CBT). We conducted a prospective multicenter, assessor-blind pilot RCT on 38 outpatients (ICD F40.1; Structured Clinical Interview for DSM (SCID); Liebowitz Social Anxiety Scale, LSAS-SR >30). The primary outcome was level of social anxiety (LSAS-SR) at the end of treatment. A total of 252 persons were screened, and 38 patients were randomized and started therapy (CBT: 20 patients; ST: 18 patients; age: M = 36 years, SD = 14). Within-group, simple-effect intent-to-treat analyses (ITT) showed significant reduction in LSAS-SR (CBT:d = 1.04; ST:d = 1.67), while ITT mixed-design ANOVA demonstrated the advantage of ST (d = 0.81). Per-protocol analyses supported these results. Remission based on reliable change indices also demonstrated significant difference (LSAS-SR: 15% in CBT; 39% in ST;h: 0.550), supported by blind diagnosticians’ ratings of those who completed therapy (SCID; 45% in CBT, 78% in ST,p = .083). No adverse events were reported. CBT and ST both reduced social anxiety, supporting patient improvement with the newly developed ST for SAD; this has yet to be verified in a subsequent confirmatory RCT.     

Emotion emphasis effects in moral judgment are moderated by mindsets

Motivation and Emotion - In two studies, emotion emphasis effects on moral judgment are demonstrated. The studies indicate that emphasizing negative consequences in trolley-type dilemmas with...     

Tracking Fluctuations in Psychological States Using Social Media Language: A Case Study of Weekly Emotion

Personality psychologists are increasingly documenting dynamic, within-person processes. Big data methodologies can augment this endeavour by allowing for the collection of naturalistic and personality-relevant digital traces from online environments. Whereas big data methods have primarily been used to catalogue static personality dimensions, here we present a case study in how they can be used to track dynamic fluctuations in psychological states. We apply a text-based, machine learning prediction model to Facebook status updates to compute weekly trajectories of emotional valence and arousal. We train this model on 2895 human-annotated Facebook statuses and apply the resulting model to 303 575 Facebook statuses posted by 640 US Facebook users who had previously self-reported their Big Five traits, yielding an average of 28 weekly estimates per user. We examine the correlations between model-predicted emotion and self-reported personality, providing a test of the robustness of these links when using weekly aggregated data, rather than momentary data as in prior work. We further present dynamic visualizations of weekly valence and arousal for every user, while making the final data set of 17 937 weeks openly available. We discuss the strengths and drawbacks of this method in the context of personality psychology's evolution into a dynamic science. © 2020 European Association of Personality Psychology