Gobal-local precedence in picture processing

Summary Previous investigations of the global precedence hypothesis (Navon, 1977) have utilized compound letter stimuli. In these stimuli there is no predictive relationship between the global and local levels. Pictorial stimuli, however, contain mutually predictable global and local levels. This study investigated the global precedence hypothesis with pictorial stimuli using a Stroop-like interference task similar to that used by Navon. Subjects were required to respond either to the global (e.g., beach or farm) or local (e.g., boat or tractor) level of a scene. The display size and consistency of the global and local levels were varied. Response latencies supported global precedence for small scenes (4°) but local precedence for large scenes (16°). The results are interpreted by a model in which the priority of processing is determined by a critical spatial frequency sampling bandwidth.Portions of this research were presented at the meeting of the Psychonomic Society, Minneapolis, November, 1982. The authors with to express their sincere appreciation to Tom Petros for his assistance in data analysis. Requests for reprints should be addressed to James R. Antes, Department of Psychology, University of North Dakota, Grand Forks, ND 58202.     

Generalization and maintenance of the reduction of self-injurious behavior maintained by two types of reinforcement

The self-injurious forehead-gouging behavior that had resulted in blindness for a profoundly retarded 27-yr-old male was successfully treated using a combination of differential reinforcement of incompatible behavior during unstructured situations and prevention of escape during compliance situations. After self-injurious behavior was reduced to a low frequency, a reduction of his daily dose of chloral hydrate was accompanied by a large increase in self-injury, but the behavior gradually returned to its previous low level. A large increase in self-injury also occurred following transfer to another living unit, but the behavior again decreased to a low frequency. Treatment gains were maintained following transfer to another residential facility with follow-up observations occurring at 1, 2, 8, 15, 22, 27 and 35 months. The multiple determination of self-injurious behavior in this one S highlights the behavioral complexity of some of these behaviors.     

Reference and comprehension: A topic-comment analysis of sentence-picture verification

A sentence often contains two components: a topic, which refers to a nonlinguistic object whose existence is presupposed; and a comment, which asserts some thought about this object. In addition, a sentence will often repeat (or refer back to) information that was expressed earlier in a text or conversation. The purpose of this article is to propose a single theoretical framework to describe the mechanisms that relate a sentence to its nonlinguistic environment as well as those that relate a sentence to its linguistic context. The theory developed in this article suggests that sentences can strongly influence the representation of visible nonlinguistic events and that this representation is sensitive to the distinction between presupposed and asserted information. To evaluate this theory, a sentence-picture verification priming task was developed. In this task, subjects were presented with pairs of sentence-picture displays, and were asked to verify whether or not the sentence in each display correctly applied to an accompanying picture. The relationship between pairs of sentence-picture displays was varied systematically. Across five experiments, three hypotheses were supported: (a) The processes which evaluate presupposed information and the processes which evaluate asserted information are differentially affected by nonlinguistic factors, (b) only those aspects of the picture which are referred to by the sentence are encoded for future use, and (c) coherence between successive sentences is in part a function of the referential continuity of the presupposed information.     

A comparison of MMPI profiles of heroin addicts based on multiple methods of classification

MMPI profiles of 442 male narcotic addicts in a drug treatment program were classified according to one of three methods: (a) highest 2-point code, (b) cluster analysis, and (c) concordance with common actuarial rules of profile fit. Profiles were then compared with those previously reported in the research literature. While each method resulted in slightly different perspectives, each reported modal profiles analogous to the 49'/94', 42'/24', and 48'/84' profiles. A frequency table of 33 different profiles by rates per thousand were presented as prototypal base rates for future comparison.     

Mental extrapolation in patterns constructed from memory

Finke and Pinker (1982, 1983) showed subjects an array of dots followed by an arrow in a blank field, and asked them to determine whether the arrow pointed to any of the previously seen dots. Response times were linearly related to the distance between the arrow and the nearest dot, suggesting that subjects spontaneously used an internal scanning or extrapolation process to perform the task. We replicate and extend this finding by varying the retention interval, and by employing a paradigm in which subjects’ eyes are closed and the arrows are described to them using a coordinate scheme. We also show that subjects are unable to predict the form of the data when the task simply is described to them. Results suggest that mental scanning along a straight path can be performed on images reconstructed from memory, and that it does not depend on the ongoing perception of a continuous surface, on physical eye movements, or on demand characteristics.     

On the role of experience versus motivation in predicting the own-race effect

The other-race effect (ORE) is a longstanding phenomenon in experimental psychology, where recognition for same-race faces is superior than for other-race faces. The present research pits two competing theories of perceptual expertise and social motivation against each other to see which is the more robust predictor of the ORE. In Study 1, we measured Black and White participants' prior contact with individuals from the other-race (i.e. expertise) as well as their expected level of future interaction with other-race individuals (i.e. motivation). Of the two theories, anticipated interaction (i.e. motivation) emerged as a significant predictor of the ORE. Study 2 followed the same design, measuring motivation with a self-report assessment of how much participants are willing to have cross-race friendships. Here, neither experience nor motivation predicted the ORE, though an ORE was established. Differences in measures that assess motivation and the experience versus motivation debate are discussed.     

Addressing fragmented human–nonhuman interactions through an ubuntu ‘mixed’ ethics

In this paper, I address human-induced environmental ills we face using an ubuntu-inspired ethical lens. I follow ubuntu scholars to stress the significance for moral agents to embody virtues. Virtue development is essential to carry out obligations and address human impacts on the environment. Thaddeus Metz, in particular, has drawn attention to how embodying ubuntu virtues of humility and friendliness can prompt moral agents to be other-regarding. The view I developed in this paper differs from his ubuntu-inspired account in at least two significant ways. First, humans cannot be in harmonious relationships with some species such as Black Mambas, Hyenas and sea urchins even if they can interact. Second, we must acknowledge the consequentialist dimension of ubuntu ethics and prioritise the different aspects of ubuntu ‘mixed’ ethics, ranking them to offer possibilities for a more realistic recommendation to change our moral life. This paper demonstrates that the three dimensions of ubuntu ‘mixed’ ethics are fundamental because we need to think about moral consequences, right action and our virtue in accounting for our actions.     

Mental health symptoms,well-being and experiences of the COVID-19 pandemic: A mixed-methods practice-based study

The COVID-19 pandemic necessitated abrupt and substantial changes in daily life, and public health strategies intended to protect physical health can negatively affect mental health and well-being, especially for individuals with pre-existing mental health challenges. For this study, we surveyed a sample of clients (N = 94) in the summer of 2020 from a community mental health clinic in the northeast United States. A mixed-methods, concurrent triangulation design was used to (a) identify client subgroups on indicators of mental health (i.e. anxious and depressive symptoms) and emotional, psychological, and social well-being using latent profile analysis (LPA), and (b) within these subgroups, examine qualitative, thematic patterns in self-described challenges, benefits and learning related to the pandemic. The LPA revealed five distinct subgroups with various levels of symptoms and well-being, including Stagnant (moderate symptoms/moderate well-being), Languishing (high symptoms/low well-being), Flourishing (low symptoms, high well-being), Fortitudinous (high symptoms, moderate well-being) and Mobilized (moderate symptoms, high well-being). These divergent subgroups support the need to conceptualise mental health symptoms apart from well-being and assess for heterogeneous constellations of such constructs among psychotherapy clients. Thematic analysis offered additional insight into pandemic experiences within each subgroup, including attention to psychological, emotional, behavioural/lifestyle, relational, physical and ecological/contextual dimensions of self-experience, as well as the ways clients had adjusted to the pandemic's circumstances. Findings support nuanced conceptualisations of positive mental health and offer insight into coping and adaptation during this public health crisis.     

Extending exploratory diagnostic classification models: Inferring the effect of covariates

Diagnostic models provide a statistical framework for designing formative assessments by classifying student knowledge profiles according to a collection of fine-grained attributes. The context and ecosystem in which students learn may play an important role in skill mastery, and it is therefore important to develop methods for incorporating student covariates into diagnostic models. Including covariates may provide researchers and practitioners with the ability to evaluate novel interventions or understand the role of background knowledge in attribute mastery. Existing research is designed to include covariates in confirmatory diagnostic models, which are also known as restricted latent class models. We propose new methods for including covariates in exploratory RLCMs that jointly infer the latent structure and evaluate the role of covariates on performance and skill mastery. We present a novel Bayesian formulation and report a Markov chain Monte Carlo algorithm using a Metropolis-within-Gibbs algorithm for approximating the model parameter posterior distribution. We report Monte Carlo simulation evidence regarding the accuracy of our new methods and present results from an application that examines the role of student background knowledge on the mastery of a probability data set.