A national examination of poverty and interactive caregiving practices among parents of young children

Journal of Child and Family Studies - Interactive caregiving practices can be protective for the development of the brain in early childhood, particularly for children experiencing poverty. There...     

Development of the dog executive function scale (DEFS) for adult dogs

Animal Cognition - Executive functions (EFs) are cognitive processes that are used to effortfully self-regulate behaviour and might be important for dogs’ success in working and pet roles....     

Hierarchical Approximate Bayesian Computation

Approximate Bayesian computation (ABC) is a powerful technique for estimating the posterior distribution of a model’s parameters. It is especially important when the model to be fit has no explicit likelihood function, which happens for computational (or simulation-based) models such as those that are popular in cognitive neuroscience and other areas in psychology. However, ABC is usually applied only to models with few parameters. Extending ABC to hierarchical models has been difficult because high-dimensional hierarchical models add computational complexity that conventional ABC cannot accommodate. In this paper, we summarize some current approaches for performing hierarchical ABC and introduce a new algorithm called Gibbs ABC. This new algorithm incorporates well-known Bayesian techniques to improve the accuracy and efficiency of the ABC approach for estimation of hierarchical models. We then use the Gibbs ABC algorithm to estimate the parameters of two models of signal detection, one with and one without a tractable likelihood function.     

Barriers to Addressing Substance Abuse in Domestic Violence Court

Substance abuse commonly co-occurs with intimate partner violence among both perpetrators and survivors. Specialized courts that focus on intimate partner violence provide a unique opportunity to address both problems simultaneously, but research has yet to identify whether this happens. In this qualitative study of a domestic violence court in a large midwestern metropolitan area, key informants were interviewed to understand how the Court treats substance abuse. Results indicate that substance abuse typically is not identified among perpetrators or survivors going through the Court unless it is mentioned in a police report. Barriers to such identification are the organization of the Court, bounded definition of actors’ roles in the Court, limited resources, and negative attitudes towards survivors. These results suggest that specialized courts that attend to only one problem may overlook the possibility of addressing issues that commonly co-occur.     

When attention is intact in adults with ADHD

Is covert visuospatial attention—selective processing of information in the absence of eye movements—preserved in adults with attention-deficit/hyperactivity disorder (ADHD)? Previous findings are inconclusive due to inconsistent terminology and suboptimal methodology. To settle this question, we used well-established spatial cueing protocols to investigate the perceptual effects of voluntary and involuntary attention on an orientation discrimination task for a group of adults with ADHD and their neurotypical age-matched and gender-matched controls. In both groups, voluntary attention significantly improved accuracy and decreased reaction times at the relevant location, but impaired accuracy and slowed reaction times at irrelevant locations, relative to a distributed attention condition. Likewise, involuntary attention improved accuracy and speeded responses. Critically, the magnitudes of all these orienting and reorienting attention effects were indistinguishable between groups. Thus, these counterintuitive findings indicate that spatial covert attention remains functionally intact in adults with ADHD.     

Science‐based interviewing: Information elicitation

This article describes an ethical and effective science‐based model of interviewing. An initial planning phase assists the investigative team in separating facts from inferences, decreases the likelihood of errors based on cognitive biases, and prompts careful preparation of the environment. The interview begins with an explanation of why the subject is being questioned. The interviewer then metaphorically hands the interview over to the subject, making him the talker and the interviewer the listener. The interviewer engages in active listening, soliciting as much information from the subject as possible by deploying tactics that enhance memory based on science, including elements of the cognitive interview. Cues to deception are found in the details of the story, rather than in signs of anxiety or nonverbal behaviours, and by deploying Strategic Use of Evidence. This model has been shown to increase cooperation, decrease resistance, and provoke useful information in real‐world criminal interviews.     

Automated verbal credibility assessment of intentions: The model statement technique and predictive modeling

Recently, verbal credibility assessment has been extended to the detection of deceptive intentions, the use of a model statement, and predictive modeling. The current investigation combines these 3 elements to detect deceptive intentions on a large scale. Participants read a model statement and wrote a truthful or deceptive statement about their planned weekend activities (Experiment 1). With the use of linguistic features for machine learning, more than 80% of the participants were classified correctly. Exploratory analyses suggested that liars included more person and location references than truth‐tellers. Experiment 2 examined whether these findings replicated on independent‐sample data. The classification accuracies remained well above chance level but dropped to 63%. Experiment 2 corroborated the finding that liars' statements are richer in location and person references than truth‐tellers' statements. Together, these findings suggest that liars may over‐prepare their statements. Predictive modeling shows promise as an automated veracity assessment approach but needs validation on independent data.     

Blameless Guilt: The Case of Carer Guilt and Chronic and Terminal Illness

My ambition in this paper is to provide an account of an unacknowledged example of blameless guilt that, I argue, merits further examination. The example is what I call carer guilt: guilt felt by nurses and family members caring for patients with palliative-care needs. Nurses and carers involved in palliative care often feel guilty about what they perceive as their failure to provide sufficient care for a patient. However, in some cases the guilty carer does not think that he has the capacity to provide sufficient care; he has, in his view, done all he can. These carers cannot legitimately be blamed for failing to meet their own expectations. Yet despite acknowledging their blamelessness, they nonetheless feel guilty. My aims are threefold: first, to explicate the puzzling nature of the carer guilt phenomenon; second, to motivate the need to solve that puzzle; third, to give my own account of blameless guilt that can explain why carers feel guilty despite their blamelessness. In doing so I argue that the guilt experienced by carers is a legitimate case of guilt, and that with the right caveats it can be considered an appropriate response to the progressive deterioration of someone for whom we care.     

On Doubt

Despite the prominence of doubt in philosophy since Descartes, the published philosophical literature includes no extended treatment of the nature of doubt. In this paper, I summarize the main contributions that have been made to the subject and then develop a commonsense functionalist account of doubt by specifying (a significant part of) the functional role of doubt that something is the case. After adding two further wrinkles, I show how the resulting account can be used to address the questions of how doubt is related to belief and whether suspension of judgment can be identified with (some appropriate level or levels of) doubt. Although the account is partisan, it should hold interest for those who favor other positions in the philosophy of mind, since (a) much of the account can be taken on board by those in other camps, and (b) the paper demonstrates how a sufficiently detailed account of doubt can be put to work addressing longstanding questions of interest across philosophical sub-disciplines.