Self-Stigma in Substance Abuse: Development of a New Measure

Little attention has been paid to the examination and measurement of self-stigma in substance misuse. This paper aims to fill this gap by reporting on the development of a new scale to measure self-stigma experienced by people who are misusing substances, the Substance Abuse Self-Stigma Scale. Content validity and item refinement occurred through an iterative process involving a literature search, focus groups, and expert judges. Psychometric properties were examined in a cross-sectional study of individuals (n?=?352) receiving treatment for substance misuse. Factor analyses resulted in a 40-item measure with self devaluation, fear of enacted stigma, stigma avoidance, and values disengagement subscales. The measure showed a strong factor structure and good reliability and validity overall, though the values disengagement subscale showed a mixed pattern. Results are discussed in terms of their implications for studies of stigma impact and intervention.     

Temporal buffering and visual capacity: The time course of object formation underlies capacity limits in visual cognition

Capacity limits are a hallmark of visual cognition. The upper boundary of our ability to individuate and remember objects is well known but—despite its central role in visual information processing—not well understood. Here, we investigated the role of temporal limits in the perceptual processes of forming “object files.” Specifically, we examined the two fundamental mechanisms of object file formation—individuation and identification—by selectively interfering with visual processing by using forward and backward masking with variable stimulus onset asynchronies. While target detection was almost unaffected by these two types of masking, they showed distinct effects on the two different stages of object formation. Forward “integration” masking selectively impaired object individuation, whereas backward “interruption” masking only affected identification and the consolidation of information into visual working memory. We therefore conclude that the inherent temporal dynamics of visual information processing are an essential component in creating the capacity limits in object individuation and visual working memory.     

Preliminary Psychometric Evidence for Distinct Affective and Cognitive Mechanisms Mediating Contamination Aversion

Contamination aversion is implicated in a range of psychological disorders, such as obsessive-compulsive disorder and health anxiety. Despite broad implications, the core mechanisms mediating contamination aversion are mixed and have not clearly been elucidated. The present studies are psychometric investigations of the components of contamination aversion and tests of the different mechanisms that mediate the severity of these components. In Study 1, items from existing measures of contamination aversion were compiled into one measure and administered to a large sample of nonclinical participants (N?=?1,286). Exploratory factor analyses demonstrated a two-factor structure, with one factor comprised of items related to intrinsically (direct) contaminated objects and the other factor comprised of items related to extrinsically (indirect) contaminated objects. In Study 2, items were added and confirmatory factor analyses supported a two-factor model in another large nonclinical sample (N?=?612). In Study 3 (N?=?471), structural modeling demonstrated distinct relations between the two factors and affective and cognitive constructs. Affective constructs related more to aversions toward more directly contaminated objects and situations while cognitive constructs related more to aversions toward more indirectly contaminated objects and situations. The present studies help clarify and articulate the unique roles of cognition and affect in specific contamination aversions, and, as such, have important implications for conceptual modeling of contamination-related psychopathology.     

The relation between achievement goal and expectancy-value theories in predicting achievement-related outcomes: A test of four theoretical conceptions

Although achievement goal and expectancy-value theories are both dominant in the achievement motivation literature, the relation between goals and expectancy-value variables in predicting achievement-related behaviors remains unclear. The present study evaluated the empirical validity of four contrasting theoretical conceptions which posit that (1) goals and expectancy-value variables are independent predictors of achievement-related outcomes (2) goals predict expectancy-values, (3) goals mediate the relation between expectancies and task-values, and (4) goals partially mediate the relation between expectancy-values and achievement outcomes, in predicting course performance, career intentions and academic aspirations. Path models evaluating these conceptions were tested separately in mathematics and language arts domains among 697 6th and 8th grade students. Results supported the fourth theoretical approach suggesting that expectancy-value variables predict achievement-related outcomes both directly and indirectly through achievement goals. These findings provide insight about the relation between expectancy-value and achievement goal theories and highlight their complementary role in predicting achievement behaviors.     

Observations on the Responsible Development and Use of Computational Models and Simulations

Most previous works on responsible conduct of research have focused on good practices in laboratory experiments. Because computation now rivals experimentation as a mode of scientific research, we sought to identify the responsibilities of researchers who develop or use computational modeling and simulation. We interviewed nineteen experts to collect examples of ethical issues from their experiences in conducting research with computational models. We gathered their recommendations for guidelines for computational research. Informed by these interviews, we describe the respective professional responsibilities of developers and users of computational models in research. In particular, we examine whether developers should disclose the full computational codes, and we explain how developers and users should minimize harms from improper uses of models.     

Dyadic Models for the Study of Health

Dyadic designs have been used in health research to investigate intra‐ and inter‐personal mechanisms of health and well‐being in various types of dyads, including parent–child dyads, siblings, friends, and romantic partners. Although a growing number of researchers are designing studies that capture the interdependent complexities of relationships, many still need more information on how to analyze the data in a way that maximizes its value. Therefore, the purpose of this review paper is twofold: (1) to address some of the ways in which dyadic data analysis is being used in current health research, with an emphasis on research that has employed the Actor‐Partner Interdependence Model, and (2) to propose and explain various methodological and substantive considerations that researchers should consider when using dyadic data analysis in their own research.     

On being motivated

Merleau-Ponty’s notion of being motivated or solicited to act has recently been the focus of extensive investigation, yet work on this topic has tended to take the general notion of being motivated for granted. In this paper, I shall outline an account of what it is to be motivated. In particular, I shall focus on the relation between the affective character of states of being motivated and their intentional content, i.e. how things appear to the agent. Drawing on Husserl’s discussion of perceptual awareness, I suggest that the intentional content of states of being motivated has a horizonal structure, in which both affective and perceptual features are implied. In states of being motivated, the agent becomes aware of certain possibilities for action, towards which they feel drawn. This structure is what Merleau-Ponty refers to as the “intentional arc” (1962, 136).     

Modulation of N400 in chronic non-fluent aphasia using low frequency Repetitive Transcranial Magnetic Stimulation (rTMS)

Low frequency Repetitive Transcranial Magnetic Stimulation (rTMS) has previously been applied to language homologues in non-fluent populations of persons with aphasia yielding significant improvements in behavioral language function up to 43 months post stimulation. The present study aimed to investigate the electrophysiological correlates associated with the application of rTMS through measurement of the semantic based N400 Event-related brain potentials (ERP) component. Low frequency (1 Hz) rTMS was applied to the anterior portion of the homologue to Broca’s area (pars triangularis), for 20 min per day for 10 days, using a stereotactic neuronavigational system. Twelve non-fluent persons with aphasia, 2-6 years post stroke were stimulated. Six participants were randomly assigned to receive real stimulation and six participants were randomly assigned to receive a blind sham control condition. ERP measures were recorded at baseline, 1 week and 2 months subsequent to stimulation. The findings demonstrate treatment related changes observed in the stimulation group when compared to the placebo control group at 2 months post stimulation indicating neuromodulation of N400 as a result of rTMS. No treatment related changes were identified in the stimulation group, when compared to the sham group from baseline to 1 week post stimulation. The electrophysiological results represent the capacity of rTMS to modulate neural language networks and measures of lexical-semantic function in participants with non-fluent aphasia and suggest that time may be an important factor in brain reorganization subsequent to rTMS.