Predicting diagnosis performance with measures of cognitive style

This study examines the relationship between performance on a context-independent fault diagnosis task and two dimensions of cognitive style: field dependence/independence (D-I) and focusing/scanning (F-S). The effects on diagnosis performance of training and the ability of both dimensions of style jointly to predict fault-finding ability were considered. The results showed that field independents and focusers were superior fault diagnosticians. Training, in the form of verbal feedback messages, was uniformly effective for the D-I dimension although field independents maintained a superior level of performance, over field dependents. In general, for the F-S dimension, training had little effect on either the focusers or scanners. A combination of scores on the F-S and D-I dimensions significantly enhanced the proportion of the variance in testing efficiency that could be accounted for during fault-finding. Finally it is argued that the F-S and D-I dimensions should be recognized as measures of ability, not style. Future research should be directed at identifying between subject differences on fault diagnosis tasks with reference to theories of information processing.     

One Counselor's Intervention in the Aftermath of a Middle School Student's Suicide: A Case Study

The authors discuss the application of Gestalt theory as a means of dealing with the surviving classmates of a student who committed suicide.     

Counseling Child Sexual Abuse Victims: Myths and Realities

The goal of the authors is to (a) create an awareness among counselors about the nature and prevalence of child sexual abuse, (b) examine myths and realities about the topic, and (c) present recommendations for interviewing suspected victims of child sexual abuse.     

The Relevance of Systemic Thinking to Student Counselling

After outlining the predominant approaches which currently inform student counselling a case is made for adopting a developmental systemic paradigm, locating individual difficulties within the context of a family dilemma. The view is taken that family systems thinking and individual approaches can be complementary and that systemic work need not be restricted to formal family therapy and the technology this implies.     

Selection of software in the instructional laboratory

In this paper, I discuss a number of issues concerning software selection in instructional laboratories. First, I describe several taxonomies of instructional software and argue that the most important dimension of instructional software is that it must be an efficient tool. Second, I discuss some elements of the context of the instructional lab, including sophistication of users. Third, I explore design features, especially those related to ease of learning to use packages. Several other issues are also considered, such as where to find software reviews.     

A simulation-based tutorial system for exploring parallel distributed processing

This article presents a simulation-based tutorial system for exploring parallel distributed processing (PDP) models of information processing. The system consists of software and an accompanying handbook. The intent of the package is to make the ideas underlying PDP accessible and to disseminate some of the main simulation programs that we have developed. This article presents excerpts from the handbook that describe the approach taken, the organization of the handbook, and the software that comes with it. An example is given that illustrates the approach we have taken to teaching PDP, which involves presentation of relevant mathematical background, together with tutorial exercises that make use of the simulation programs.     

A critical evaluation of software for experiment development in research and teaching

This paper compares several software packages that allow users to create new computer-run experiments, but do not require that users be able to program. Three dimensions are considered: package requirements, ease of learning, and power and flexibility.     

A high-gain,low-noise amplifier for EEG

This paper describes an amplifier for an electroencephalograph with gain of 1×10⁴ to 1×10⁶ and made entirely of commercially available IC components. The two-stage amplifier has a preamplifier stage with fixed gain of 1000, and a second stage with variable gain from 1 to 100. The final stage, an anti-aliasing filter, adds a gain of 10 to the signal. The circuit has high common mode rejection, low input bias current, very low noise characteristics, low offset voltages, and offset nulling capability built into the circuit.