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Clinical target syndromes in psychiatry: latent structure analysis versus factor analysis

Published online by Cambridge University Press:  16 April 2020

P Bech
P Bech*
Affiliation:
Department of Psychiatry, Frederiksborg General Hospital, 48, Dyrehavevej, DK-3400 Hillerod, Denmark
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Summary

The algorithms for the demonstration of shared phenomenology of psychiatric syndromes in DSM-III are resistant to quantification. In contrast, the rating scale approach quantifies clinical target syndromes in psychiatry. The two most useful statistical models for quantifying shared phenomenology by symptom rating scales have been reviewed; namely factor analysis and latent structure analysis. Results have shown that factor analysis has demonstrated dimensions of dementia, delirium, schizophrenia, mania, outward aggression, depression and anxiety. Latent structure analysis has confirmed that the items of brief rating scales (such as the Melancholia Scale) are additively related implying that their total scores are sufficient statistics for the measurement of these factors or dimensions. Latent structure analysis should be considered as a psychometric “glasnost” compared to algorithm-resistant logic of quantification in DSM-III.

Keywords

algorithmsrating scalesfactor analysislatent structure analysisshared phenomenologyquantifications
Type
Original article
Information
European Psychiatry , Volume 6 , Issue 6 , 1991 , pp. 301 - 306
Copyright
Copyright © Elsevier, Paris 1991

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