Modelling decisions to undergo genetic testing for susceptibility to common health conditions: an ancillary study of the Multiplex Initiative

New genetic tests reveal risks for multiple conditions simultaneously, although little is understood about the psychological factors that affect testing uptake. We assessed a conceptual model called the multiplex genetic testing model (MGTM) using structural equation modelling. The MGTM delineates worry, perceived severity, perceived risk, response efficacy and attitudes towards testing as predictors of intentions and behaviour. Participants were 270 healthy insured adults aged 25-40 from the Multiplex Initiative conducted within a health care system in Detroit, MI, USA. Participants were offered a genetic test that assessed risk for eight common health conditions. Confirmatory factor analysis revealed that worry, perceived risk and severity clustered into two disease domains: cancer or metabolic conditions. Only perceived severity of metabolic conditions was correlated with general response efficacy (β?=?0.13, p<0.05), which predicted general attitudes towards testing (β?=?0.24, p<0.01). Consistent with our hypothesised model, attitudes towards testing were the strongest predictors of intentions to undergo testing (β?=?0.49, p<0.01), which in turn predicted testing uptake (OR 17.7, β?=?0.97, p<0.01). The MGTM explained a striking 48% of the variance in intentions and 94% of the variation in uptake. These findings support use of the MGTM to explain psychological predictors of testing for multiple health conditions.     

Is it sometimes better to receive than to give? Preferences for receiver roles over proposer roles in consumer behavior ultimatums

In the context of purchasing ultimatums, consumers may dislike the freedom of choice that comes with proposing offers due to their awareness that the other party may have better information than they do and the fact that the attractiveness of outside alternatives is uncertain. Indeed, across three studies, we find that people prefer to receive rather than propose offers. In Study 1, proposers reached fewer agreements and experienced less favorable attitudes (e.g., satisfaction, fairness, recommendation intentions), particularly when their offers were rejected. In Study 2, proposers experienced more uncertainty and cognitive depletion as compared to receivers, again particularly if the proposed offer was rejected. In Study 3, role preferences were explained by the existence of higher regret in the proposer role, particularly if the proposed offer was rejected. We conclude with a consideration of the theoretical and practical implications of our research for scholars, customers, and service providers.     

Taking a fresh perspective: Vicarious restoration as a means of recovering self-control

In the realm of self-regulation, recent work shows that the state of ego depletion can be vicariously transmitted from a target to a perceiver simply by imagining the perspective of a depleted target (i.e., vicarious depletion; Ackerman et al., 2009). The present study asked whether such vicarious effects can extend to the domain of self-regulatory recovery. In Experiment 1, depleted participants who took the perspective of someone engaging in a restorative activity showed recovered self-control on a later task. Experiments 2 and 3 expanded upon this effect by illustrating that such vicarious self-regulatory processes only emerge if the target is similar to the participant. Taken together, the present studies offer a powerful method by which mental resources can be replenished, and identify one critical boundary condition of its effectiveness.     

A tutorial on Bayesian nonparametric models

A key problem in statistical modeling is model selection, that is, how to choose a model at an appropriate level of complexity. This problem appears in many settings, most prominently in choosing the number of clusters in mixture models or the number of factors in factor analysis. In this tutorial, we describe Bayesian nonparametric methods, a class of methods that side-steps this issue by allowing the data to determine the complexity of the model. This tutorial is a high-level introduction to Bayesian nonparametric methods and contains several examples of their application.     

Dyadic interracial interactions: a meta-analysis

This meta-analysis examined over 40 years of research on interracial interactions by exploring 4 types of outcomes: explicit attitudes toward interaction partners, participants' self-reports of their own emotional state, nonverbal or observed behavior, and objective measures of performance. Data were collected from 108 samples (N = 12,463) comparing dyadic interracial and same-race interactions, predominantly featuring Black and White Americans. Effect sizes were small: Participants in same-race dyads tended to express marginally more positive attitudes about their partners (r = .07), reported feeling less negative affect (r = .10), showed more friendly nonverbal behavior (r = .09), and scored higher on performance measures (r = .07) than those in interracial dyads. Effect sizes also showed substantial heterogeneity, and further analyses indicated that intersectional, contextual, and relational factors moderated these outcomes. For example, when members of a dyad were the same sex, differences between interracial and same-race dyads in negative affect were reduced. Structured interactions led to more egalitarian performance outcomes than did free-form interactions, but the effects of interaction structure on nonverbal behavior depended on participant gender. Furthermore, benefits of intergroup contact were apparent: Differences in emotional state across dyadic racial composition disappeared in longer term interactions, and racial minorities, who often have greater experience with intergroup contact, experienced less negative affect in interracial interactions than did majority group members. Finally, there was a significant historical trend toward more egalitarian outcomes across dyadic racial composition for explicit attitudes and for nonverbal behavior; however, participants' emotional responses and performance have remained consistent.     

Metacognitive therapy in treatment-resistant depression: a platform trial

Patients with treatment-resistant depression received up to 8 sessions of metacognitive therapy (MCT) targeting attentional control, rumination, worry, and metacognitive beliefs. A baseline period was followed by weekly sessions with follow-up assessments at 6 and 12 months post treatment. Large and statistically significant improvements occurred in all symptom measures at post treatment and were maintained over follow-up. Two out of 3 process measures significantly improved at post treatment and all of these measures were improved at follow-up. Treatment was associated with similar response rates on the BDI and Hamilton rating scale. Using liberal criteria 80% of completers were classified as recovered at post treatment and 70% at follow-up on the BDI. In the intention to treat sample 66.6% were recovered at post treatment and 58.3% at follow-up. More stringent criteria showed 60% recovery rates at post treatment and at 12 m. The results suggest that MCT could be a brief and effective treatment and they provide a precedent for more definitive randomized controlled trials.     

Multiple group membership influences face-recognition: Recall and neurological evidence

The limited face-recognition research involving targets categorizable on multiple dimensions has provided contradictory evidence as to how partial-ingroup members are processed and recognized. This research demonstrates that partial-ingroup members are recognized in a manner distinct from double-ingroup and double-outgroup targets. Specifically, when race and university-affiliation are crossed, university-affiliation does not influence recognition for own-race targets, but does for other-race targets, in that other-race/own-university targets are recalled more accurately than other-race/other-university targets. The neurological mechanisms involved in the effect are explored through the inclusion of electroencephalography.