On the evaluation of one-sided evidence

We examine predictions and judgments of confidence based on one-sided evidence. Some subjects saw arguments for only one side of a legal dispute while other subjects (called ‘jurors’) saw arguments for both sides. Subjects predicted the number of jurors who favored the plaintiff in each case. Subjects who saw only one side made predictions that were biased in favor of that side. Furthermore, they were more confident but generally less accurate than subjects who saw both sides. The results indicate that people do not compensate sufficiently for missing information even when it is painfully obvious that the information available to them is incomplete. A simple manipulation that required subjects to evaluate the relative strength of the opponent's side greatly reduced the tendency to underweigh missing evidence.     

Explanations and Evaluations by Turks and Dutchmen of Norm Violating Ingroup and Outgroup Behaviour

Group-serving biases in the explanation and evaluation of norm violating ingroup and outgroup behaviour are investigated. The intergroup relationship concerns autochthonous Dutchmen and allochthonous Turks living in The Netherlands. It was hypothesized that Dutch observers exhibit group-serving biases. No hypothesis was formulated for the Turks. A 2×2 design was employed with actor's group membership (ingroup or outgroup), and observer's group membership (Dutch or Turkish) as factors. 50 Dutch and 50 Turkish pupils responded to a hypothetical norm violating situation. The Dutch displayed a group-serving bias on some variables, but ingroup derogation on others. The Turks engaged in a consistent group-serving bias. These outcomes are discussed in terms of the groups need to strive for a positive social identity vis-a)-vis one another and the role explaining away negative ingroup behaviour in fulfilling this need.     

Be a Mom,a Web-Based Intervention to Prevent Postpartum Depression: Results From a Pilot Randomized Controlled Trial

Be a Mom is a self-guided web-based intervention, grounded in cognitive behavioral therapy, delivered to postpartum women to prevent persistent postpartum depression [PPD] symptoms. We aimed to evaluate Be a Mom in terms of its preliminary efficacy, feasibility, and acceptability. A pilot randomized, two-arm controlled trial was conducted. Eligible women (presenting PPD risk-factors and/or early-onset PPD symptoms) were enrolled in the study and were randomly assigned to the intervention (Be a Mom) or to the waiting-list control group. Participants in both groups completed baseline (T1) and postintervention (T2) assessments. The 194 women presenting risk factors/early-onset PPD symptoms were allocated to the intervention (n = 98) or to the control (n = 96) group. A significant Time × Group interaction effect was found for both depressive and anxiety symptoms, with women in the intervention group presenting a larger decrease in symptoms from T1 to T2 (p < .05). Less than half of the women (41.8%) completed Be a Mom. Most women (71.4%) would use Be a Mom again if needed. Results provide preliminary evidence of the Be a Mom’s efficacy, acceptability and feasibility, although further research is needed to establish Be a Mom as a selective/indicative preventive intervention for persistent PPD.     

Evaluating discrete trial teaching with instructive feedback delivered in a dyad arrangement via telehealth

Telehealth research in the field of applied behavior analysis (ABA) has focused on the training and supervision of others to implement various behavior analytic procedures. Current guidelines for practicing telehealth suggest that direct telehealth services may be appropriate for some individuals diagnosed with autism spectrum disorder, but more research is needed. This study evaluated the effects of discrete trial teaching with instructive feedback in a dyad arrangement delivered directly via telehealth to teach tact relations to 6 children diagnosed with autism spectrum disorder. All participants and the experimenter were located in different physical locations. All participants learned their primary and secondary targets, and 5 of the participants acquired the observational primary and secondary targets without direct teaching. Areas of future research and clinical implications are discussed in the context of telehealth service delivery.     

Geographic patterns of implicit age bias and associations with state-level health outcomes across the United States

Negative attitudes toward aging are pervasive in society and may be detrimental to people's health as they become older. Older people tend to report feeling significantly younger than their chronological age, often as a way of psychologically distancing themselves from the stigma of old age. However, attitudes and behaviors toward aging may differ across regional contexts. We examined associations among state-level patterns of bias against older adults and state-level health outcomes across the United States. Data from 803,009 respondents (ages: 15–94) across 50 U.S. states (and the District of Columbia) revealed geographic variation in implicit age bias. Higher state-level implicit age bias was associated with poorer state-level health outcomes among adults ages 65+. Older adults living in states high in implicit age bias showed greater age-group dissociation compared to older adults living in states low in implicit age bias. Findings highlight potential consequences of implicit age bias and invite further research on the long-term health implications of individual age-group dissociation in response to regional age bias.     

Assessing the impact of a family nurse-led intervention on young mothers’ references to internal states

A mother's propensity to refer to internal states during mother–child interactions is important for her child's developing social understanding. However, adolescent mothers are less likely to reference internal states when interacting with their children. We investigated whether young mothers’ references to internal states are promoted by the Family Nurse Partnership (FNP) intervention, an intensive home-visiting programme designed to support adolescent mothers in England. We also investigated family, maternal, and child factors associated with young mothers’ references to inner states during interactions with their children. Adolescent mothers (n = 483, aged ≤ 19 years when recruited in pregnancy) and their children participated in an observational substudy of a randomized controlled trial investigating the impact of FNP compared to usual care. Mother–child dyads were video-recorded during free play, and mothers’ speech was coded for use of internal state language (references to cognitions, desires, emotions, intentions, preferences, physiology, and perception). We found no differences in mothers’ use of internal state language between the FNP and usual care groups. A sample-wide investigation identified that other features of mothers’ language and relationship status with the child's father were associated with internal state language use. Findings are discussed with reference to targeted interventions and implications for future research.     

Does Partisan Bias Modulate Neural Processing of Political Information? An Analysis of the Neural Correlates of Corruption and Positive Messages

Daily worldwide newspapers print articles exposing government corruption. Yet these messages do not lead to a loss of votes for the corrupt parties. Sympathizers’ partisan bias, which respectively minimizes and maximizes corruption and positive messages of their own parties respectively, is widely considered the main cause of the loss of effectiveness of political communications. Despite the well-established existence of such bias when processing political information, little is known as to its psychological origin. Through the use of neuroscience (fMRI), this study explores the underlying brain mechanisms of negative (corruption) and positive political messages related to a conservative and a socialist Spanish political party, as well as the differences between their sympathizers. The findings reveal that negative (vs. positive) political messages exert the greatest neuroimaging impact on the electorate, as shown in aversive, risk, and disappointment-related brain regions. Interestingly, we show that there exists a main partisan bias against opposite parties (and not a positive bias toward one’s own party) that stems from a higher risk, ambiguity, and disbelief provoked by both positive and negative information about rival parties. Furthermore, this bias was more pronounced among conservative supporters. The current findings provide valuable insights for political parties to improve their communication campaigns.     

Searching for Prosociality in Qualitative Data: Comparing Manual,Closed-Vocabulary,and Open-Vocabulary Methods

Although most people present themselves as possessing prosocial traits, people differ in the extent to which they actually act prosocially in everyday life. Qualitative data that were not ostensibly collected to measure prosociality might contain information about prosocial dispositions that is not distorted by self-presentation concerns. This paper seeks to characterise charitable donors from qualitative data. We compared a manual approach of extracting predictors from participants' self-described personal strivings to two automated approaches: A summation of words predefined as prosocial and a support vector machine classifier. Although variables extracted by the support vector machine predicted donation behaviour well in the training sample (N = 984), virtually, no variables from any method significantly predicted donations in a holdout sample (N = 496). Raters' attempts to predict donations to charity based on reading participants' personal strivings were also unsuccessful. However, raters' predictions were associated with past charitable involvement. In sum, predictors derived from personal strivings did not robustly explain variation in charitable behaviour, but personal strivings may nevertheless contain some information about trait prosociality. The sparseness of personal strivings data, rather than the irrelevance of open-ended text or individual differences in goal pursuit, likely explains their limited value in predicting prosocial behaviour. © 2020 European Association of Personality Psychology