Sensitizing Potential Jurors to Variations in Eyewitness Evidence Quality Using Counterfactual Thinking

Jurors often have difficulty evaluating eyewitness testimony. Counterfactual thinking is a type of mental simulation that informs causal inference. Encouraging jurors to think counterfactually about eyewitness factors may sensitize them to these factors' causal influence on eyewitness identification and testimony accuracy, improving their overall judgments (such as verdicts). One hundred twenty‐one undergraduate participants were randomly assigned to read a scenario containing either high‐quality or low‐quality eyewitness evidence and to evaluate eyewitness factors adopting either their default or a counterfactual mindset via a question‐order manipulation. Logistic regressions and analyses of variance revealed that a counterfactual mindset lowered perceptions of eyewitness accuracy and guilty verdicts (compared with the default mindset) when the evidence was poor; a counterfactual mindset, however, did not increase perceptions of accuracy and guilty verdicts when evidence was strong. We discuss possible mechanisms underlying these effects and identify several potential avenues for future research.Copyright © 2016 John Wiley & Sons, Ltd.     

Cross-cultural psychology: A symbiosis of cultural and comparative approaches

Culture–behaviour relationships can be understood in relation to many dimensions. It is argued that the cultural, indigenous and comparative traditions of research are mutually compatible, and indeed permit a symbiotic approach. This symbiosis produces a generic field, that of cross-cultural psychology, into which the three traditions can be incorporated, and permits the pursuit of a universal psychology.     

Illness perception clusters and relationship quality are associated with diabetes distress in adults with Type 2 diabetes

This report aims to augment what is already known about emotional distress in Type 2 diabetes, by assessing the predictive value of illness perception clusters and relationship quality on four subcategories of Diabetes Distress.162 individuals with Type 2 diabetes responded to a postal questionnaire assessing demographics, depression, diabetes distress, illness perceptions and relationship quality. Long-term blood glucose was retrieved from participants’ General Practitioner. Three illness perception clusters emerged from the data, capturing three subgroups of participants sharing similar illness perception schemas. Regression analyses were performed across each diabetes distress subscale, with demographics, illness perception clusters, and relationship variables entered into three blocks. Covariates explained 51.1% of the variance in emotional burden, 41% of the variance in regimen-related distress, 20% of the variance in interpersonal distress, and 8.6% of the variance in physician-related distress. Cluster membership was strongly associated with emotional burden, regimen-related distress, and to a lesser degree interpersonal distress, but was not associated with physician-related distress. Relationship quality most strongly predicted regimen-related distress. Illness perception schemas and interpersonal issues influence emotional adjustment in diabetes. This study provides direction for the content of a novel approach to identifying and reducing diabetes distress in people with Type 2 diabetes.     

Estimating Incremental Validity Under Missing Data

A common form of missing data is caused by selection on an observed variable (e.g., Z). If the selection variable was measured and is available, the data are regarded as missing at random (MAR). Selection biases correlation, reliability, and effect size estimates when these estimates are computed on listwise deleted (LD) data sets. On the other hand, maximum likelihood (ML) estimates are generally unbiased and outperform LD in most situations, at least when the data are MAR. The exception is when we estimate the partial correlation. In this situation, LD estimates are unbiased when the cause of missingness is partialled out. In other words, there is no advantage of ML estimates over LD estimates in this situation. We demonstrate that under a MAR condition, even ML estimates may become biased, depending on how partial correlations are computed. Finally, we conclude with recommendations about how future researchers might estimate partial correlations even when the cause of missingness is unknown and, perhaps, unknowable.     

Borderline personality disorder in an intermediate psychological therapies service

The intermediate psychological therapies service is provided for individuals referred with common mental health problems within the primary care psychological therapies service, but whose difficulties are longstanding and/or complex. The prevalence of borderline personality disorder (BPD) in intermediate psychological therapy services has not been researched to-date. The current study aimed to measure the prevalence of BPD amongst patients attending intermediate psychological therapies (n?=?63). The prevalence of BPD was established by identifying the number of patients who met DSM-IV criteria. BPD prevalence amongst patients attending an intermediate psychological therapy service was 37%. The high proportion of patients presenting with BPD indicates the potential need for staff training and supervision in how to manage such high levels of need at this service level. This is the first study to report prevalence rates of BPD specifically in an intermediate care psychological therapy service.     

The evaluative connotation of processing fluency: Inherently positive or moderated by motivational context?

A fundamental question for evaluation research is whether cues can impact evaluative responses directly or only in combination with contextual information. Focusing on the experience of processing fluency, the current work tested whether manipulating this cue’s motivational context would moderate its evaluative impact. Because fluently processed stimuli can be assumed to communicate safety, owing to implicit signals of either familiarity (through processes monitoring perception-memory coordination), we reasoned that motivation to avoid negative events should heighten preferences for fluently processed stimuli. Following a motivation manipulation, prevention-focused, but not promotion-focused, participants preferred stimuli that they were able to process quickly (Experiment 2) and that were preceded by concordant primes (Experiment 1). These findings suggest that the value of fluent processing reflects its relation to contextual features, such as one’s current motivational state.