Some task demands induce collapsing bounds: Evidence from a behavioral analysis

Traditional models of choice-response time assume that sensory evidence accumulates for choice alternatives until a threshold amount of evidence has been obtained. Although some researchers have characterized the threshold as varying randomly from trial to trial, these investigations have all assumed that the threshold remains fixed across time within a trial. Despite decades of successful applications of these models to a variety of experimental manipulations, the time-invariance assumption has recently been called into question, and a time-variant alternative implementing collapsing decision thresholds has been proposed instead. Here, we investigated the fidelity of the collapsing threshold assumption by assessing relative model fit to data from a highly constrained experimental design that coupled a within-subject mixture of two classic response time paradigms—interrogation and free response—within a random dot motion (RDM) task. Overall, we identified strong evidence in favor of collapsing decision thresholds, suggesting that subjects may adopt a dynamic decision policy due to task characteristics, specifically to account for the mixture of response time paradigms and motion strengths across trials in the mixed response signal task. We conclude that time-variant mechanisms may serve as a viable explanation for the strategy used by human subjects in our task.     

Development,Feasibility, and Refinement of a Toxic Stress Prevention Research Program

Innovative interventions accessible to at-risk populations to prevent the intergenerational cycle of toxic stress are needed. This paper describes the iterative development of a community-based intervention, 2Gen Thrive, which was designed to prevent toxic stress and promote resilience by improving caregiver capacity to respond to children’s emotional, behavioral, and developmental needs. 2Gen Thrive leverages the collaboration between a Children’s Hospital and an Early Head Start/Head Start education center to help low-income, minority families thrive in the context of risk factors for toxic stress. In this paper, we focus on the process of developing, piloting, and refining our 2Gen Thrive preventive intervention research program, which has been developed following a community-based participatory research (CBPR) approach. The primary objective was to pilot test two prevention interventions we adapted for use in this target population: Classroom Theraplay, a classroom-wide intervention designed to prevent toxic stress among children exposed to adversity by fostering nurturing relationships with their teachers; and Dialectical Behavior Therapy Skills Training for Parents (DBT4P), a group intervention developed to bolster parental responsiveness by teaching Dialectical Behavioral Therapy (DBT) mindfulness and emotion regulation skills. We evaluated qualitative and process data as well as quantitative data from standardized instruments, including The Classroom Assessment Scoring System (CLASS), Patient Health Questionnaire (PHQ-9), Difficulties in Emotion Regulation Scale (DERS), and Parenting Stress Index (PSI/SF). Results demonstrate the feasibility, acceptability, and appropriateness of these preventive interventions delivered in the early education setting, and of conducting intervention research using a CBPR approach.     

Feedback influences children's reasoning about math equivalence: A meta-analytic review

ABSTRACT

Decades of research have focused on children's reasoning about math equivalence problems for both practical and theoretical insights. Not only are math equivalence problems foundational in arithmetic and algebra, they also represent a class of problems on which children's thinking is resistant to change. Feedback is one instructional tool that can serve as a key trigger of cognitive change. In this paper, we review all experimental studies (N = 8) on the effects of feedback on children's (ages 6–11) understanding of math equivalence. Meta-analytic results indicate that feedback has positive effects for low-knowledge learners and negative effects for high-knowledge learners, and these effects are stronger for procedural outcomes than conceptual outcomes. Findings highlight the variable influences of feedback on math equivalence understanding and suggest that models of thinking and reasoning need to consider learner characteristics, learning outcomes, and learning materials, as well as the dynamic interactions among them.     

Age-related changes in neural mechanisms of prospective memory

The capability to remember and execute intentions in the future – termed prospective memory (PM) – may be of special significance for older adults to enable successful completion of important activities of daily living. Despite the importance of this cognitive function, mixed findings have been obtained regarding age-related decline in PM, and, currently, there is limited understanding of potential contributing mechanisms. In the current study, older (N=41) and younger adults (N=47) underwent task-functional MRI during performance of PM conditions that encouraged either spontaneous retrieval (Focal) or sustained attentional monitoring (Non-focal) to detect PM targets. Older adults exhibited a reduction in PM-related sustained activity within the anterior prefrontal cortex (aPFC) and associated dorsal frontoparietal cognitive control network, due to an increase in non-specific sustained activation in (no-PM) control blocks (i.e., an age-related compensatory shift). Transient PM-trial specific activity was observed in both age groups within a ventral parietal memory network that included the precuneus. However, within a left posterior inferior parietal node of this network, transient PM-related activity was selectively reduced in older adults during the non-focal condition. These age differences in sustained and transient brain activity statistically mediated age-related declines in PM performance, and were potentially linked via age-related changes in functional connectivity between the aPFC and precuneus. Together, they support an account consistent with the Dual Mechanisms of Control framework, in which age-related PM declines are due to neural mechanisms that support proactive cognitive control processes, such as sustained attentional monitoring, while leaving reactive control mechanisms relatively spared.     

Frequency of Prayer and Functional Health in Presbyterian Pastors

The purpose of this correlational study was to examine the relationship of frequency of prayer to eight subcategories of physical and mental health. As part of the ongoing Presbyterian Panel, 1,412 active Presbyterian pastors drawn from a national, random sample were surveyed by mail regarding their frequency of prayer and self-perceptions of health outcomes. The results indicated a high level of functioning overall for all eight categories of physical and mental health. Predictably, frequency of prayer was extremely skewed towards high frequency. Despite a lack of variation in both health and prayer, high frequency of prayer was significantly related to higher scores in three health outcomes: vitality, general health, and mental health. These relationships remained significant in the analysis even after controlling for the influence of demographic variables, such as gender and age. Various explanations of the results are explored.     

Do Programmers Prefer Predictable Expressions in Code?

Source code is a form of human communication, albeit one where the information shared between the programmers reading and writing the code is constrained by the requirement that the code executes correctly. Programming languages are more syntactically constrained than natural languages, but they are also very expressive, allowing a great many different ways to express even very simple computations. Still, code written by developers is highly predictable, and many programming tools have taken advantage of this phenomenon, relying on language model surprisal as a guiding mechanism. While surprisal has been validated as a measure of cognitive load in natural language, its relation to human cognitive processes in code is still poorly understood. In this paper, we explore the relationship between surprisal and programmer preference at a small granularity—do programmers prefer more predictable expressions in code? Using meaning-preserving transformations, we produce equivalent alternatives to developer-written code expressions and run a corpus study on Java and Python projects. In general, language models rate the code expressions developers choose to write as more predictable than these transformed alternatives. Then, we perform two human subject studies asking participants to choose between two equivalent snippets of Java code with different surprisal scores (one original and transformed). We find that programmers do prefer more predictable variants, and that stronger language models like the transformer align more often and more consistently with these preferences.