Computer-Assisted Careers Guidance Systems and Organisational Change

This article describes a study conducted to identify the range of potential influences that a computer-assisted careers guidance system (PROSPECT (HE)) had on the functioning of organisations (careers services in higher education). Data from six institutions indicated that use of PROSPECT (HE) was associated with important and varied change within the organisations. It appears that when a careers service seeks opportunities for change, CACG systems can be an important catalyst for change in two respects: by providing a focal point for achieving previously established goals; or, as a consequence of system use, by making staff aware of the potential for new organisational goals.     

Low-dimensional chaos maps learning in a model neuropil (olfactory bulb)

Quantification of a chaotic system can be made by calculating the correlation dimension (D2) of the data that the system generates (Packard et al., 1980). The D2 algorithm, however, requires stationarity of the generator, a feature that biological data rarely reflect (Mayer-Kress et al., 1988). So we developed the “point correlation dimension” (PD2), an algorithm that accurately tracks D2 in linked data of different dimensions (Carpeggiani et al., 1991). We now present a mathematical argument that, for stationary data, individual PD2s converge to D2 and we demonstrate that the algorithm rejects contributions made by bursts of noise. Data were obtained from the surface of the olfactory bulb of the conscious rabbit (64 electrodes, 640 Hz each, 1.3 sec epochs) before and after presentation of a novel or habituated odor. D2 could be calculated in only 1 of 10 novel-odor trials, whereas PD2 could be calculated in all. Both algorithms indicated that a novel odor evokes a spatially uniform dimensional increase. The PD2 uniquely exhibited the dimensional decreases that occur during inspiration and the gradients of mean dimension present during the nonstimulated control state. These control gradients remained unchanged without odor experience, but showed spatially specific PD2 increases following odor habituation. It is interpreted that, 1) the PD2 issensitive, accurate, and appropriate for dimensional assessment of biological data, 2) that during analysis of unfamiliar information a singleglobal process is transiently evoked in the neuropil, and 3) after experience multiplespatially specific processes tonically map the sites of learning. Grant Support: National Institutes of Health, HL 31164 and NS27745     

A typology of personal and environmental sexual harassment: Research and policy implications for the 1990s

Most of the research conducted on sexual harassment over the last decade and a half has used categories that are neither mutually exclusive nor exhaustive. This has created problems for researchers: it is difficult to compare results from one study to another, harassment types that have scholarly and legal-policy relevance are omitted, and the ability of researchers to inform legal and policy decisions is diminished as a result of these problems. A comprehensive categorization of harassment types that addresses these methodological problems is presented. Specifically, 11 specific types of harassment—4 types of Verbal Requests, 3 Verbal Remarks, and 4 Nonverbal Displays—are presented with examples from research and legal literatures. Recommendations for reconceptualizing research definitions of harassment as well as for diversifying the methodological approaches to the topic are made.     

Application of chaos theory to biology and medicine

The application of “chaos theory” to the physical and chemical sciences has resolved some long-standing problems, such as how to calculate a turbulent event in fluid dynamics or how to quantify the pathway of a molecule during Brownian motion. Biology and medicine also have unresolved problems, such as how to predict the occurrence of lethal arrhythmias or epileptic seizures. The quantification of a chaotic system, such as the nervous system, can occur by calculating the correlation dimension (D2) of a sample of the data that the system generates. For biological systems, the point correlation dimension (PD2) has an advantage in that it does not presume stationarity of the data, as the D2 algorithm must, and thus can track the transient non-stationarities that occur when the systems changes state. Such non-stationarities arise during normal functioning (e.g., during an event-related potential) or in pathology (e.g., in epilepsy or cardiac arrhythmogenesis). When stochastic analyses, such as the standard deviation or power spectrum, are performed on the same data they often have a reduced sensitivity and specifity compared to the dimensional measures. For example, a reduced standard deviation of heartbeat intervals can predict increased mortality in a group of cardiac subjects, each of which has a reduced standard deviation, but it cannot specify which individuals will or will not manifest lethal arrhythmogenesis; in contrast, the PD2 of the very same data can specify which patients will manifest sudden death. The explanation for the greater sensitivity and specificity of the dimensional measures is that they aredeterministic, and thus are moreaccurate in quantifying the time-series. This accuracy appears to be significant in detecting pathology in biological systems, and thus the use of deterministic measures may lead to breakthroughs in the diagnosis and treatment of some medical disorders.     

Book reviews

Weiskrantz, L. (1986). Blindsight: A case study and implications. Oxford University Press. Pp. 187. ISBN 0-19-852129-4. £19.50.

Humphreys, G. W. & Riddoch, M. J. (1987). to see but not to see: A case study of visual agnosia. Hove and London: Lawrence Erlbaum Associates Ltd. Pp. 124. ISBN 0-83677-064-9. £12.95.

Downing, J. A. (1988). Advances in psychology: Cognitive psychology and reading in the USSR. Amsterdam: North Holland; Elsevier Science Publishers. Pp. 471. ISBN 0-444-70374-8. $108.00.

John Beech & Ann Colley (Eds.) (1987). Cognitive approaches to reading. Chichester: John Wiley. Pp. xii + 315.

James Wertsch (Ed.) (1985). Culture, communication and cognition: Vygotskian perspectives. Cambridge: Cambridge University Press. Pp. 379. ISBN 0-521-25214-8. £27.50 (Hardback).

Fodor, J. A. (1987). Psychosemantics: The problem of meaning in the philosophy of mind. Cambridge, MA: M.I.T. Press. Pp. xiii, 1-171. ISBN 0-262-06106-6.

Richardson, K. (1988). Understanding Psychology. Milton Keynes: The Open University Press. Pp. 114. ISBN 0-335-09842-8. Paperback £7.95.

Stanovich, Keith E. (Ed.) (1988). Children's reading and the development of phonological awareness. Detroit: Wayne State University Press. Pp. 177. ISBN 0-8143-1909-2. $20.00.

Allport, A., MacKay, D.G., Prinz, W., & Scheerer, E. (Eds.), (1987). Language perception and production: Relationships between listening, speaking, reading, and writing. London: Academic Press. Pp. xiii + 497. ISBN 0-12-052750-2. £32.00

Light, L. L. & Burke, D. M. (eds.) (1988). Language, Memory and Aging. Cambridge: Cambridge University Press. Pp. 280. ISBN-0-521-32942-6. £27.50

Friedman, S.L., Scholnick, E.F., and Cocking, R. R. (1987). Bleuprints for thinking: The role of planing in cognitive development. Cambridge: Cambridge University Press. Pp. xv + 559. ISBN 0-521-25605-4. £40.00.     

Contributors to the Appraisal of Major Life Changes: Gender, Perceived Controllability, Sensation Seeking, Strain, and Social Support

This study investigated relationships between the appraisal of life events and gender, locus of control, social support, strain, and sensation seeking. In group sessions, undergraduate males and females completed self-report measures assessing life events appraisals and self-report measures for the above individual differences. Analyses supported the notion that a range of these variables, previously shown to serve as moderators of life stress, are significantly related to the appraisals of life events. Moreover, in addition to the gender differences obtained for the perception of life events, gender was found to influence several associations between the individual differences and life events appraisal.     

Are FACES-II ‘family satisfaction’ scores valid?

It has been suggested that family satisfaction can be measured by having a person complete the Family Adaptability and Cohesion Evaluation Scale (FACES-II) twice: once as the person essentially sees the family (actual version), and once as they wish the family to be (ideal version). The discrepancy between the actual and ideal scores is contended to be a measure of satisfaction with family. Though conceptually attractive, this measurement strategy was not verified, as assessed in the present study by correlating the actual-ideal discrepancy scores with family discord (Index of Family Relations) scores. Clinical adoption of the actual-ideal discrepancy-score as a measure of family satisfaction is thus seen as premature, until more supportive evidence is demonstrated.