Truth Without Reference: The Use of Fictional Names

Topoi - Singular terms without referents are called empty or vacuous terms. But not all of them are equally empty. In particular, not all proper names that fail to name an existing object fail in...     

EARSHOT: A Minimal Neural Network Model of Incremental Human Speech Recognition

Despite the lack of invariance problem (the many-to-many mapping between acoustics and percepts), human listeners experience phonetic constancy and typically perceive what a speaker intends. Most models of human speech recognition (HSR) have side-stepped this problem, working with abstract, idealized inputs and deferring the challenge of working with real speech. In contrast, carefully engineered deep learning networks allow robust, real-world automatic speech recognition (ASR). However, the complexities of deep learning architectures and training regimens make it difficult to use them to provide direct insights into mechanisms that may support HSR. In this brief article, we report preliminary results from a two-layer network that borrows one element from ASR, long short-term memory nodes, which provide dynamic memory for a range of temporal spans. This allows the model to learn to map real speech from multiple talkers to semantic targets with high accuracy, with human-like timecourse of lexical access and phonological competition. Internal representations emerge that resemble phonetically organized responses in human superior temporal gyrus, suggesting that the model develops a distributed phonological code despite no explicit training on phonetic or phonemic targets. The ability to work with real speech is a major advance for cognitive models of HSR.     

Simulated judicial decision-making for African and European American adolescents with illegal sexual behavior: The impact of medical data and victim race/ethnicity

The perceived importance of victim and defendant race/ethnicity and medical evidence in child sexual abuse cases has been recognized separately in the literature. However, few studies have considered these factors simultaneously. Within a sample of 880 college students, an interaction effect was tested between the presence of medical evidence and the race/ethnicity of a juvenile defendant and victim using child sexual abuse case vignettes. The main effects of medical evidence and the race of the defendant were observed. Medical evidence and race of victim influenced victim believability such that medical evidence was more impactful for cases with African American victims. Further, there were interactions between the race of the defendant and the race of the victim in adult versus juvenile court decisions, sex offender registration and notification requirements, and length of sex offender registration and notification. Interracial sexual offending was associated with substantially higher punishment than intraracial sexual offending. Accordingly, several important implications for court-level decision-making processes are explored.     

Risk assessment in sentencing and plea bargaining: The roles of prosecutors and defense attorneys

Research on risk assessment in sentencing has focused heavily on the role of judges. Ignoring the role of other courtroom actors in the sentencing process, however, leaves unexamined the potentially significant effects on judicial decision making of arguments made by prosecutors and defense attorneys at sentencing hearings. Unduly focusing on judges also overlooks the vast majority of sentences arrived at through negotiated guilty pleas. We explored the extent to which considerations of risk are made among prosecutors and defense attorneys when advocating for given sentences in open court or during plea negotiations. We surveyed all prosecutors and defense attorneys in 14 judicial circuits in Virginia and found that most prosecutors and defense attorneys at least “sometimes” explicitly invoked actuarial risk estimates both at sentencing hearings and during plea negotiations. However, defense attorneys were much more likely than prosecutors to be averse to the use of risk assessment in either form of case disposition.     

Sex and genes,part 2: A biopsychosocial approach to assess and treat challenging sexual behavior in persons with intellectual disabilities including fragile X syndrome and 22q11.2 deletion syndrome

Individuals with intellectual disabilities (IDs) – and specifically those with genetic disorders – are more prone to medical and psychological challenges that affect their sexual development, experiences, and fertility. In this review paper we first provide an overview of the biopsychosocial (BPS) model and then explain how the model can guide and improve the assessment and treatment of challenging sexual behaviors by persons with IDs. We discuss two genetic conditions – fragile X syndrome and 22q11.2 deletion syndrome – in case studies, showing how the BPS model can be used to assess and treat the sexual problems of individuals with various types of ID. We conclude with BPS-formulated treatment considerations in three key domains: biomedical treatment (e.g., medication side effects; stopping or changing medications), psychological treatment (e.g., providing psychological therapies), and socio-environmental interventions (e.g., providing socio-sexual education and staff training). Together, these treatment interventions can aid clinicians to prevent and/or treat problematic sexual behaviors of people with IDs.     

Indicators of Affect Dynamics: Structure,Reliability, and Personality Correlates

Researchers are increasingly interested in the affect dynamics of individuals for describing and explaining personality and psychopathology. Recently, the incremental validity of more complex indicators of affect dynamics (IADs; e.g. autoregression) has been called into question (Dejonckheere et al., 2019), with evidence accumulating that these might convey little unique information beyond mean level and general variability of emotions. Our study extends the evidence for the construct validity of IADs by investigating their redundancy and uniqueness, split-half reliability based on indices from odd-numbered and even-numbered days, and association with big five personality traits. We used three diverse samples that assessed daily and momentary emotions, including community participants, individuals with personality pathology, and their significant others (total N = 1192, total number of occasions = 51 278). Mean and variability of affects had high reliability and distinct nomological patterns to big five personality traits. In contrast, more complex IADs exhibited substantial redundancies with mean level and general variability of emotions. When partialing out these redundancies by using residual variables, some of the more complex IADs had acceptable reliability, but only a few of these showed incremental associations with big five personality traits, indicating that IADs have limited validity using the current assessment practices. © 2020 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology     

Changing counterproductive beliefs about attention,memory, and multitasking: Impacts of a brief,fully online module

Ubiquitous mobile technology is part of contemporary life, bringing with it the potential for distraction and reduction in performance associated with multitasking. The predisposition toward dysfunctional multitasking may be shaped in part by beliefs that individuals hold about memory and attention. The issue is particularly pressing for college students, given established links between distraction, multitasking, and learning. This project assessed the impact of an online learning module on beliefs about attention, memory, and learning in college students. It also contrasted these beliefs in a college and non-college community sample. Significant reductions in counterproductive beliefs were associated with completing the module; counterproductive beliefs were also no more prevalent in the college vs. the non-college sample. Our findings suggest that brief online modules are a practical way to address counterproductive beliefs related to multitasking with technology, and add to the literature on metacognition, attention, and multitasking in college and non-college populations.     

Decision-makers use social information to update their preferences but choose for others as they do for themselves

People's risky decisions are susceptible to the social context in which they take place. Across three experiments using different paradigms, we investigated the influence of three social factors upon participants' decisions: the recipient of the decision-making outcome (self, other, or joint), the nature of the relationship with the other agent (friend, stranger, or teammate), and the type of information that participants received about others' preferences: none at all, general information about how previous participants had decided, or information about a specific partner's preference. We found that participants' decisions about risk did not differ according to whether the outcome at stake was their own, another agent's, or a joint outcome, nor according to the type of information available. Participants did, however, adjust their preferences for risky options in light of social information.     

Pre‐service teacher‐delivered behavioral skills training: A pyramidal training approach

This study evaluated the effectiveness of using a university‐based pyramidal approach (i.e., train the trainer) to teach four pre‐service teachers to train another person. These pre‐service teachers were taught to use behavioral skills training (BST) techniques to train other professionals to use an evidence‐based practice. Transfer to a generalization trainee was probed and three participants maintenance of BST fidelity was probed one year later, after the participants had begun teaching. Results indicate that the participants quickly acquired and maintained a high degree of fidelity with BST. Implications for research and practice are discussed.     

Solutions to the problems of incremental validity testing in relationship science

Incremental validity testing (i.e., testing whether a focal predictor is associated with an outcome above and beyond a covariate) is common (e.g., 57% of Personal Relationships articles in 2017), yet it is fraught with conceptual and statistical problems. First, researchers often use it to overemphasize the novelty or counterintuitiveness of findings, which hinders cumulative understanding. Second, incremental validity testing requires that the focal predictor and the covariate represent separate constructs; researchers risk committing the “jangle fallacy” without such evidence. Third, the most common approach to incremental validity testing (i.e., standard multiple regression, 88% of articles) inflates Type I error and can produce invalid conclusions. This article also discusses the relevance of these issues to dyadic/longitudinal designs and offers concrete solutions.