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A recommended approach is provided for using NSI-related validity measures. (PsycInfo Database Record (c) 2021 APA, all rights reserved).The Integrated Self-Categorization model of Autism (ISCA; Bertschy et al., 2019; Skorich &amp; Haslam, 2021) argues that the theory of mind differences seen in autism arises from Enhanced Perceptual Functioning/Weak Central Coherence, via a dysfunctional self-categorization mechanism. The ISCA model also makes the novel prediction that phenomena that arise from self-categorization should also be affected in autistic people. In this article, we report three studies exploring this prediction in the context of one such phenomenon Group homogeneity. We first measure participants' autistic traits, then ask them to make homogeneity judgments of their ingroup alone or their outgroup alone (in Study 1, and in the Alone conditions of Studies 2a and 2b); or of their ingroup in comparison to their outgroup or their outgroup in comparison to their ingroup (in the Compare conditions of Studies 2a and 2b). As predicted, we find that the degree of autistic traits negatively predicts ratings of group homogeneity; this relationship is mediated by social identification/self-categorization; and typical comparison-related homogeneity effects are strengthened at higher relative to lower levels of autistic traits. These studies provide convergent evidence for the ISCA model and suggest important avenues for well-being and social skills interventions for autistic people. (PsycInfo Database Record (c) 2021 APA, all rights reserved).When making decisions about uncertain spatial trajectories, such as storm forecasts, people rely on visualizations to support their understanding. Four experiments explored novel visualizations-dynamic ensembles. Nonexperts used visualizations to interpret probabilistic information about potential paths of a hurricane. Experiment 1 focused on global properties of the distribution, and showed dynamic ensembles imply a larger area at risk than traditional cones of uncertainty. Experiment 2 compared decisions with cones versus dynamic ensembles at specific individual locations. Dynamic ensembles offer more appreciation of risk outside the center of the distribution, and less abrupt in transitions from evacuation to nonevacuation choices. Experiment 3 compared decisions for dynamic ensembles versus static line ensembles. Similar evacuation rates across the two conditions suggest ensembles, rather than dynamics, are the more critical feature. Experiment 4 examined whether an additional dimension can be included in dynamic ensembles using color coding. Decisions reacted to this ancillary feature, with higher evacuation rates for locations threatened by more severe outcomes. Outcomes highlight the ability to systematically vary the level of risk communicated through the ensembles while also communicating the continuous nature of the risk. The overall findings show the viability of presenting uncertain spatial information using dynamic ensembles. (PsycInfo Database Record (c) 2021 APA, all rights reserved).Over 95% of criminal convictions in the United States are the result of guilty pleas. Consequently, it is critical that we ensure the process of pleading guilty is as free of coercion as possible. Yet, research has indicated that incarcerating defendants to await trial could have an undue influence on their decision to plead guilty. The current research employed a novel computer simulation to examine the impact of the COVID-19 pandemic on plea decision making among the innocent and the guilty when faced with potential pretrial detention. While presenting COVID-related information to participants increased both true and false guilty pleas, further analyses indicated that concerns about COVID-19 weighed more heavily on the innocent than the guilty. These findings illustrate the negative impact a pandemic could have in combination with a system of pleas that often allows prosecutors to provide defendants with just one guaranteed respite from jail-a guilty plea. (PsycInfo Database Record (c) 2021 APA, all rights reserved).Robust scientific evidence shows that human performance predictions are more valid when information is combined mechanically (with a decision rule) rather than holistically (in the decision-maker's mind). Yet, information is often combined holistically in practice. One reason is that decision makers lack the knowledge of evidence-based decision making. In a performance prediction task, we tested whether watching an educational video on evidence-based decision making increased decision-makers' use of a decision rule and their prediction accuracy immediately after the manipulation and a month later. Furthermore, we manipulated whether participants earned incentives for accurate predictions. Existing research showed that incentives decrease decision-rule use and prediction accuracy. We hypothesized that this is the case for decision makers who did not receive educational information about evidence-based decision making, but that incentives increase decision-rule use and prediction accuracy for participants who received educational information. Our results showed that educational information increased decision-rule use. This resulted in increased prediction accuracy, but only immediately after receiving the educational information. In contrast to the existing literature, incentives slightly increased decision-rule use. We did not find evidence that this effect was larger for educated participants. [https://www.selleckchem.com/products/rp-6685.html https://www.selleckchem.com/products/rp-6685.html] Providing decision makers with educational information may be effective to increase decision-rule use in practice. (PsycInfo Database Record (c) 2021 APA, all rights reserved).Suicide is a leading preventable cause of death (Centers for Disease Control and Prevention, 2018). Recent research identifies the time following hospital discharge after a suicide attempt as a critical window whereby suicide risk is heightened. As a result, suicide aftercare services that emphasize timely follow-up intervention are increasingly popular. There is a lack of research exploring the role of peer-workers in the context of suicide prevention aftercare. This is surprising given that peer-work has been hypothesized to promote belongingness, engagement, and hope; all factors theorized as critical to suicide ideation and behavior. This project aimed to address this research gap by exploring the perspectives of six peer-workers and five clinicians (n = 11) employed in a suicide prevention aftercare program. Qualitative data were collected via an online survey and telephone interviews. Interviews explored what processes were perceived by peer-workers and clinicians as critical in facilitating change within the context of a suicide prevention service.