Ratings of Orally Presented Verbal Expressions of Probability by a Heterogeneous Sample

Verbal expressions of probability are used in daily conversations, physician-physician and physician-patient communications, and questionnaire and interview responses. To assess the degree of agreement among English-speaking Australian adults in allocating numerical probabilities to these verbal expressions of probability, 966 interviewees provided estimates for 60 isolated expressions of probability and a sequence of seven items placed in a sequence. Means and median scores appeared to be consistent with common sense and with findings from other countries. Mirror-imaged terms were neither symmetrical nor equidistant, with the means and medians for the positive terms being closer to the mid-points of the scale than the means and medians of the negative terms. Items in a sequence of probability terms showed greater symmetry and less variability than isolated expressions. For most items, there was an unacceptably high level of within-subject and between-subject variability. Although subjects with higher levels of education and/ or mathematics education showed less variability, these factors accounted for very little of the variance. The greater variability in Australian results relative to those reported elsewhere was partly attributed to the use of interviews rather than questionnaires. There were no particular stems that yielded greater consistency. It was concluded that the use of these expressions leads to very imprecise communication.     

Influence of a depressant drug on acquisition in rote learning

Central depressant drugs have been shown to impair performance during learning and at recall. The experiment which is described was carried out to investigate whether the effect during learning is primarily on the availability of associations or on their formation. The learning decrement attributable to the drug used (30 per cent. nitrous oxide in oxygen) persisted on recovery from the drug and during subsequent learning under normal conditions. It is concluded that the effect of the drug is on acquisition rather than performance; that is, it acts so as to impede the formative process and does not merely obscure the progress of learning by blocking responses.     

Incorporating inferences in narrative representations: A study of how and why

Four experiments examined the conceptual organization of narrative passages and the extent to which these representations were explanatory in a variety of experimental tasks. The conceptual representation of a passage consisted of a graph of labeled nodes and labeled, directed arcs which were adopted from the Conceptual Dependency Theory. These representations included both explicitly stated information and inferences which had been empirically extracted by a question-answering procedure. Symbolic procedures for answering how- and why-questions were also delineated. The conceptual representations and the symbolic procedures that operate on these representations together accounted for 91% of the answers generated from question-answering protocols in Experiment 1, and also the rated quality of specific answers to specific questions in Experiment 2. Experiments 3 and 4 supported the hypothesis that structural properties of the representations can predict recall of explicitly stated nodes and verification ratings of inference nodes. The results provide encouraging support for the proposed graphic representations and also for the use of question-answering protocols in uncovering prose inferences.     

Relapse training: Does it influence trainees' post training behavior and cognitive strategies?

Training effectiveness is often reduced because trainees are unable to deal with work environment and interpersonal constraints. Incorporating relapse prevention strategies into training programs has been suggested as a method to increase training effectiveness. This study evaluates the impact of including a relapse prevention component in a supervisory skills training program. The results suggest that relapse prevention strategies may be valuable for increasing trainees' awareness of situations where new skill usage is relevant and facilitating managers' involvement in the development of new skills.Portions of this paper were presented at the Society of Industrial/Organizational Psychology Annual Meeting, April 22–23, 1988 in Dallas, Texas.     

Factor analysis by generalized least squares

Aitken's generalized least squares (GLS) principle, with the inverse of the observed variance-covariance matrix as a weight matrix, is applied to estimate the factor analysis model in the exploratory (unrestricted) case. It is shown that the GLS estimates are seale free and asymptotically efficient. The estimates are computed by a rapidly converging Newton-Raphson procedure. A new technique is used to deal with Heywood cases effectively.The work on this project was done when the first author was Research Statistician at Educational Testing Service, Princeton, N. J. The second author was in part supported by a grant from the Research Committee of the University of Wisconsin Graduate School. The authors wish to thank Michael Browne for many helpful comments and Marielle van Thillo for valuable assistance in the numerical computations.     

OGAMA (Open Gaze and Mouse Analyzer): Open-source software designed to analyze eye and mouse movements in slideshow study designs

In the present article, a new software is introduced that allows the recording and analyzing of eye- and mouse-tracking data from slideshow-based experiments in parallel. The Open Gaze and Mouse Analyzer (OGAMA) is written in C#.NET and has been released as an open-source project. Its main features include slide-show design, the recording of gaze and mouse data, database-driven preprocessing and filtering of gaze and mouse data, the creation of attention maps, areas-of-interest definition, and replay. Eyetracking and/or presentation soft- and hardware recordings in ASCII format can be imported. Data output is provided that can be used directly with different statistical software packages. Because it is open source, one can easily adapt it to suit one’s needs.     

What is pressure? Evidence for social pressure as a type of regulatory focus

Previous research (Markman, Maddox, & Worthy, 2006) suggests that pressure leads to choking when one is learning to classify items on the basis of an explicit rule, but it leads to excelling when one is learning to classify items on the basis of an implicit strategy. In this article, we relate social pressure to regulatory focus theory. We propose that the effects of pressure on performance arise because pressure induces a prevention focus that interacts with the more local reward structure of the task. To test this hypothesis, we repeated previous research, but using a losses reward structure, so that participants under pressure were in a regulatory fit. We also successfully replicated previous results by using a gains reward structure. In contrast with participants who attempted to maximize gains on each trial, participants who attempted to minimize losses choked on the implicit-learning task but excelled on the explicit-learning task. The results suggest a three-way interaction between pressure level, task type, and reward structure.     

An empirical and computational investigation of perceiving and remembering event temporal relations

Events have beginnings, ends, and often overlap in time. A major question is how perceivers come to parse a stream of multimodal information into meaningful units and how different event boundaries may vary event processing. This work investigates the roles of these three types of event boundaries in constructing event temporal relations. Predictions were made based on how people would err according to the beginning state, end state, and overlap heuristic hypotheses. Participants viewed animated events that include all the logical possibilities of event temporal relations, and then made temporal relation judgments. The results showed that people make use of the overlap between events and take into account the ends and beginnings, but they weight ends more than beginnings. Neural network simulations showed a self-organized distinction when learning temporal relations between events with overlap versus those without.     

Learning nonlinearly separable categories by inference and classification

Previous research suggests that learning categories by classifying new instances highlights information that is useful for discriminating between categories. In contrast, learning categories by making predictive inferences focuses learners on an abstract summary of each category (e.g., the prototype). To test this characterization of classification and inference learning further, the authors evaluated the two learning procedures with nonlinearly separable categories. In contrast to previous research involving cohesive, linearly separable categories, the authors found that it is more difficult to learn nonlinearly separable categories by making inferences about features than it is to learn them by classifying instances. This finding reflects that the prototype of a nonlinearly separable category does not provide a good summary of the category members. The results from this study suggest that having a cohesive category structure is more important for inference than it is for classification.