Hostname: page-component-f554764f5-fr72s Total loading time: 0 Render date: 2025-04-15T03:47:39.891Z Has data issue: false hasContentIssue false
  • English
  • Français

Random number generation by normal, alcoholic and schizophrenic subjects

Published online by Cambridge University Press:  09 July 2009

Stewart Rosenberg ,
Neville Weber ,
Marc-Antoine Crocq ,
Fabrice Duval  and
Jean-Paul Macher
Stewart Rosenberg*
Affiliation:
Section VIII, CHS Rouffach, France; Department of Mathematical Statistics, University of Sydney, Australia
Neville Weber
Affiliation:
Section VIII, CHS Rouffach, France; Department of Mathematical Statistics, University of Sydney, Australia
Marc-Antoine Crocq
Affiliation:
Section VIII, CHS Rouffach, France; Department of Mathematical Statistics, University of Sydney, Australia
Fabrice Duval
Affiliation:
Section VIII, CHS Rouffach, France; Department of Mathematical Statistics, University of Sydney, Australia
Jean-Paul Macher
Affiliation:
Section VIII, CHS Rouffach, France; Department of Mathematical Statistics, University of Sydney, Australia
*
1Address for correspondence: Dr S. Rosenberg, Morisset Hospital, Morisset, NSW 2264, Australia
Get access Rights & Permissions [Opens in a new window]

Synopsis

Controls (N = 45), schizophrenics (N = 20) and alcoholics (N =23) were asked to choose at random a number between 1 and 10, 100 times. The correlation matrices of five different randomization indices were used to study within group variation; these matrices were similar for the normal and alcoholic groups, but very different for the schizophrenic group. The differences between the three groups were studied by canonical analysis and, in terms of the canonical variables, the mean performance of the normal group is clearly discriminated from that of the alcoholic and schizophrenic subjects.

Type
Orginal Articles
Information
Psychological Medicine , Volume 20 , Issue 4 , November 1990 , pp. 953 - 960
Copyright
Copyright © Cambridge University Press 1990

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

REFERENCES

Chatfield, C. (1984). The Analysis of Time Series. Chapman and Hall: London.Google Scholar
Evans, F. J. (1978). Monitoring attention deployment by random number generation: an index to measure subjective randomness. Bulletin of the Psychonomic Society 12, 35–38.CrossRefGoogle Scholar
Gur, R. E. (1986). Cognitive aspects of schizophrenia. In American Psychiatric Association, Annual Review. Volume 5. (ed. Frances, A. J. and Hales, R. E.), pp. 68–77. American Psychiatric Press: Washington.Google Scholar
Horne, R. L., Evans, F. J. & Orne, M. T. (1982). Random number generation, psychopathology and therapeutic change. Archives of General Psychiatry 39. 680–683.CrossRefGoogle ScholarPubMed
Ramsay, R. W. & Broadhurst, A. (1968). The non-randomness of attempts at random responses: relationships with personality variables and psychiatric disorder. British Journal of Psychology 59, 299–304.CrossRefGoogle Scholar
Sachs, L. (1982). Applied Statistics, a Handbook of Techniques. Springer-Verlag: Heidelberg.CrossRefGoogle Scholar
Tarter, R. E. & Edwards, K. L. (1985). Neuropsychology of Alcoholism. In Alcohol and the Brain: Chronic Effects (ed. Tarter, R. E. and Van Thiel, D. H.), pp. 217–242. Plenum Medical: New York.CrossRefGoogle Scholar
Wagenaar, W. A. (1972). Generation of random sequences by human subjects: a critical survey of the literature. Psychological Bulletin 77. 65–72.CrossRefGoogle Scholar