A generalized,likelihood-free method for posterior estimation

Recent advancements in Bayesian modeling have allowed for likelihood-free posterior estimation. Such estimation techniques are crucial to the understanding of simulation-based models, whose likelihood functions may be difficult or even impossible to derive. However, current approaches are limited by their dependence on sufficient statistics and/or tolerance thresholds. In this article, we provide a new approach that requires no summary statistics, error terms, or thresholds and is generalizable to all models in psychology that can be simulated. We use our algorithm to fit a variety of cognitive models with known likelihood functions to ensure the accuracy of our approach. We then apply our method to two real-world examples to illustrate the types of complex problems our method solves. In the first example, we fit an error-correcting criterion model of signal detection, whose criterion dynamically adjusts after every trial. We then fit two models of choice response time to experimental data: the linear ballistic accumulator model, which has a known likelihood, and the leaky competing accumulator model, whose likelihood is intractable. The estimated posterior distributions of the two models allow for direct parameter interpretation and model comparison by means of conventional Bayesian statistics—a feat that was not previously possible.     

Paving the Way? Penalty and Atonement in Thomas Aquinas's Soteriology

This article explores the soteriology of Thomas Aquinas. In particular, it considers recent debates over whether Thomas altered Anselm's satisfaction theory in a way which opened the door to the later theory of penal substitution. The article argues that Thomas did indeed alter Anselm's atonement theory in this way insofar as he incorporates punishment within his concept of satisfaction; however, it further contends that his use of ‘placation’ or ‘appeasement’ language does not contribute to such an alteration.     

The effect of statistical learning on internal stimulus representations: Predictable items are enhanced even when not predicted

Statistical learning is the automatic and unconscious learning of environmental regularities and is a basic mechanism of learning in a variety of human perceptual and cognitive domains. Previous studies have mainly focused on the associative mechanisms of statistical learning. However, an unexplored question is whether the internal representations of individual stimuli are altered as their associations are learned. Using a temporal statistical learning paradigm, we examine this question across three experiments and find clear evidence that the internal representations of individual stimuli are differentially altered according to their degree of temporal predictability. These findings complement previous accounts of statistical learning and reveal an enriched mechanism of human learning, such that learning to associate items also enhances the representations of certain items relative to others.     

Nonresponse in Employee Attitude Surveys: A Group-Level Analysis

Purpose

Given the common practice of using employee attitude surveys as a group-level intervention, this study used a group-level approach to examine the relationship between group satisfaction and group nonresponse.

Design/Methodology/Approach

Samples from four large organizations enabled job satisfaction scores to be aggregated to the work group level and correlated with group-level response rates. Additional regression analysis was conducted to control for a number of confounding variables at the group level.

Findings

Aggregate job satisfaction showed significant associations with group-level response rates across each of the samples examined. Work groups with higher aggregate job satisfaction had significantly higher response rates. Regression analyses showed that, in addition to job satisfaction, work group size, heterogeneity in tenure, and heterogeneity in gender composition all had significant effects on response rates.

Implications

Social influence processes may operate at the group level to increase homogeneity of job-relevant attitudes and similarity in survey response behavior. Future research should be designed to investigate the effects of group-level variables on nonresponse.

Originality/Value

The current study adds to the literature by demonstrating that work group variables may play an important role in explaining nonresponse in employee attitude surveys. Because the processes underlying survey response are likely to be different at different levels of analysis, the investigation of nonresponse as a group-level phenomenon creates new opportunities for research and practice.     

Is compassion for others stress buffering? Consequences of compassion and social support for physiological reactivity to stress

The present study examined the role of compassion for others and social support in physiological stress reactivity. In this experiment, participants who had previously completed an online assessment of compassion experienced a social stress task in front of either two supportive or neutral evaluators, while their blood pressure, cortisol, high frequency heart rate variability (HF-HRV), and liking for the evaluators were monitored. Participants’ compassion for others interacted with social support condition to buffer their physiological reactivity to stress. When provided with social support during the task, higher trait compassion was associated with lower blood pressure reactivity, lower cortisol reactivity, and higher HF-HRV reactivity. Higher compassion was also associated with greater liking for the supportive evaluators. These relationships were not observed for participants in the neutral condition, regardless of their trait compassion. Compassion for others may increase our ability to receive social support, which may lead to more adaptive profiles of stress reactivity.     

Articulate forgiveness and normative constraints

Philosophers writing on forgiveness typically defend the Resentment Theory of Forgiveness, the view that forgiveness is (or crucially implicates) the overcoming of resentment. Rarely is much more said about the nature of resentment or how it is overcome when one forgives. Pamela Hieronymi, however, has advanced detailed accounts both of the nature of resentment and how one overcomes resentment when one forgives. In this paper, I argue that Hieronymi’s account of the nature of forgiveness is committed to two implausible claims about the norms bearing on forgiveness. Her account is highly instructive, however, for it brings into relief how certain intuitive views about the norms of forgiveness should be used to constrain our theories about its nature. I conclude by defending this methodological proposal.     

Social Affiliation from Religious Disaffiliation: Evidence of Selective Mixing Among Youth with No Religious Preference During the Transition to College

The number of individuals claiming a nonreligious identity in the United States is on the rise, with one‐fourth of the overall U.S. public failing to identify with any of the major religious traditions. In this article, we examine whether religious disaffiliation structures social network formation in a social context in which religious identification (and religiosity) is a salient cultural marker. We take advantage of unique data on the personal networks of youth transitioning into a college where religion is a culturally salient facet of everyday life. We hypothesize that, if there is nonreligious homophily, it may result from an attraction of the disaffiliated to each other or from a repulsion away from the religiously affiliated. Results of exponential random graph models suggest that both mechanisms may be at play. We find that religious “Nones” and affiliated non‐Catholics are disproportionately more likely to form and maintain relationships with one another and are relatively less likely to form and maintain relationships with members of their respective religious out‐groups. We close by outlining the implications of our findings and delineating promising avenues for future research.     

Validating a new assessment method for deception detection: Introducing a Psychologically Based Credibility Assessment Tool

The current set of studies was designed to test a new credibility assessment tool, the Psychologically Based Credibility Assessment Tool (PBCAT). Participants watched lab-generated videos of true and false alibi statements, provided while under varying degrees of cognitive load. Judges either provided a truth/lie judgment only, or also rated 11 behavioral cues on the PBCAT. When stories were told under cognitive load the effectiveness of cues at discriminating truth/deception was enhanced, with targets under higher load judged more accurately. Results regarding the new assessment tool indicate that it is capable of improving deception detection performance, even with minimally trained, nonexpert observers.     

Enhancing Coping Resources in Early Adolescence Through a School-based Program Teaching Optimistic Thinking skills

This study examined the effectiveness of a universal school-based prevention program that was designed to increase coping resources in preadolescents through the modeling and teaching of optimistic thinking skills. School psychologists, together with classroom teachers, implemented an eight-week program in eight Year 5 and 6 class groups as part of the regular school curricula. One hundred and sixty children who participated in the program were compared to 135 children in 8 control groups on pre- and post-test questionnaires. Post-test responses show that children who participated in the program reported significant improvements in coping efficacy, and reductions in depressive attributions and use of the non-productive coping strategies of worry, wishful thinking, not coping, and ignoring the problem when compared to controls. These results support the feasibility of implementing low-cost, non-intrusive programs in school settings that address the emotional health of all young people. Support is also provided for theories that suggest attributions for events and coping efficacy influence the selection of coping strategies.