Referenzsemantik in der Partnermodellierung

How can we explain that an assertion on something perceived can be understood in the same manner by somebody who cannot perceive that scene? This problem bases the interest in computational linguistics in how listener modeling could possibly be harmonized with reference semantics. Mental images substituting real perception appear as a way out. The architecture of the listener model has to be adapted to the creation and use of such pictorial data structures. Furthermore, the relation between the latter and a verbal (i. e., propositional) representation must be understood. The resulting architecture of a listener model with reference semantics can be employed to solve communicational problems from three general classes in a better way, as is demonstrated by an example implementation.     

Perceptual scaling of synthesized musical timbres: Common dimensions,specificities, and latent subject classes

To study the perceptual structure of musical timbre and the effects of musical training, timbral dissimilarities of synthesized instrument sounds were rated by professional musicians, amateur musicians, and nonmusicians. The data were analyzed with an extended version of the multidimensional scaling algorithm CLASCAL (Winsberg & De Soete, 1993), which estimates the number of latent classes of subjects, the coordinates of each timbre on common Euclidean dimensions, a specificity value of unique attributes for each timbre, and a separate weight for each latent class on each of the common dimensions and the set of specificities. Five latent classes were found for a three-dimensional spatial model with specificities. Common dimensions were quantified psychophysically in terms of log-rise time, spectral centroid, and degree of spectral variation. The results further suggest that musical timbres possess specific attributes not accounted for by these shared perceptual dimensions. Weight patterns indicate that perceptual salience of dimensions and specificities varied across classes. A comparison of class structure with biographical factors associated with degree of musical training and activity was not clearly related to the class structure, though musicians gave more precise and coherent judgments than did nonmusicians or amateurs. The model with latent classes and specificities gave a better fit to the data and made the acoustic correlates of the common dimensions more interpretable.     

Human Resource Management Group,University of Nottingham,UK

In a new series of regular reports, research groups active in personnel psychology from a number of countries will present a briefing on work-in-progress. In the first in this series, the HRM Group at the Department of Psychology, University of Nottingham, describe their ongoing work into organization change and training validation, employee socialization, computer-based testing, and personality test construction and assessment centre validation.     

Multiaxial taxonomy of fibromyalgia syndrome patients

Pain, disability, and depression are present in various degrees in patients with fibromyalgia syndrome. Cluster analysis was used in this research to ascertain the existence of subgroups of patients in a fibromyalgia sample based on these variables. Two clusters were defined: one characterized by high levels of pain, disability, and depression (n=51) and another characterized by low levels of pain, disability, and depression (n=67). Multivariate analysis of variance (MANOVA) confirmed differences between clusters on these health status factors and a second MANOVA revealed that the subgroup with a poorer health status reported greater passive coping, helplessness, and stress, and less satisfaction with social support, than the subgroup with better health status. Logistic regression indicated that the best discriminator of subgroup membership was helplessness. These results suggest that different approaches to patient management, particularly intervention strategies aimed at reducing helplessness, may be beneficial for patients with high levels of pain, disability, and depression.     

Promoting Resilience in At-Risk Children

Intervening effectively with youths at risk from early deprivation, family dysfunction, poverty, abuse, and other factors is a major concern for educational and social service policymakers. Current research suggests that a majority of at-risk youths do not experience drastic outcomes, but many exhibit protective factors that buffer them from negative consequences. Longitudinal studies from Hawaii, the continental United States, and Great Britain have identified several personality, familial, and environmental variables that promote resiliency in youths at risk. This article discusses these variables and provides counselors with an assessment technique and strategies to promote a salutogenesis perspective.     

Training children's self-control: A field experiment in self-monitoring and goal-setting in the classroom

A field experiment investigated the effects of training in self-monitoring and goal-setting skills on classroom study behavior and academic achievement among elementary school students in an individualized mathematics program. In the Self-Monitoring Conditions, students were shown a simple system for observing and maintaining daily records of their own study behavior during their math classes; orthogonally, in the Goal-Setting Conditions, students were shown a simple method of setting and recording daily performance goals during their math classes. Exposure to self-monitoring procedures produced significant increases in both appropriate study behavior and in actual achievement in the mathematics program, while exposure to goal-setting procedures had no effect on either study behavior or academic achievement. Nor, contrary to expectation, did exposure to the goal-setting instructions enhance the effectiveness of the self-monitoring system. The implications of these results in terms of implicit and explicit models of self-reinforcement processes were discussed.     

A versatile two-part system for on-line measurement of multiple response parameters

A two-part system for digital measurement of such diverse response parameters as latency, pulse width, amplitude, and events per unit time is described. The mainframe consists of counters with light-emitting diode (LED) numeric readouts and a quartz crystal controlled internal time base. It also contains all power supply requirements for both the mainframe electronics and the second part of the system, the plug-ins. Each plug-in is designed to use the main unit counters, timers, readouts, and power supplies to measure the desired parameter. Thus, each numeric readout channel of the mainframe may be used to measure various parameters simply by changing the plug-in attached to it. The unit has proved to be very useful in reducing experimenter error in measuring response parameters in classical nictitating membrane conditioning.