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The Use of Self-rating Scales in a Single-patient Multiple Cross-over Trial

Published online by Cambridge University Press:  29 January 2018

R. Kellner  and
B. F. Sheffield
R. Kellner
Affiliation:
Department of Psychiatry, University of Liverpool
B. F. Sheffield
Affiliation:
Sefton General Hospital, Liverpool
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Extract

The value of measuring changes in symptoms in a single patient has been discussed by a number of authors. (1, 3, 4.) The “self-controlled trial” (1) or the “multiple cross-over method”, i.e. the measurement of responses to repeated and systematic changes in treatment, appears to have advantages over the simple cross-over trial, but the method would be extremely time-consuming in group research with psychiatric patients if the ratings had to be carried out by research workers. The use of valid self-rating scales would make the multiple cross-over method feasible in drug trials with groups of psychiatric patients.

Information

Type
Research Article
Information
The British Journal of Psychiatry , Volume 114 , Issue 507 , February 1968 , pp. 193 - 196
Copyright
Copyright © Royal College of Psychiatrists, 1968 

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References

1. Hogben, L., and Sim, M. (1953). “The self-controlled and self-recorded clinical trial for low grade morbidity” Brit. J. prev. soc. Med., 7, 163–179.Google Scholar
2. Kellner, R., and Sheffield, B. F. (1967). Abridged Manual of the Symptom Rating Test. (Unpublished.)Google Scholar
3. McPherson, F. M., and Le Gassicke, J. (1965). “A single-patient self-controlled and self-recorded trial of Wy 3498” Brit. J. Psychiat., 110, 149–154.Google Scholar
4. Shapiro, M. B. (1966). “The single case in clinical-psychological research” J. gen. Psychol., 74, 3–23.Google Scholar
5. Sheffield, B. F., and Kellner, R. (1967). “Memory factors in the self-rating of neurotic symptoms.” (Awaiting publication).Google Scholar
6. Siegel, S. (1956). Nonparametric Statistics for the Behavioural Sciences, p. 116. New York: McGraw Hill.Google Scholar
7. Siegel, S. (1956). Nonparametric Statistics for the Behavioural Sciences, p. 96. New York: McGraw Hill.Google Scholar
8. Siegel, S. (1956). Nonparametric Statistics for the Behavioural Sciences, p. 213. New York: McGraw Hill.Google Scholar
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