Header

UZH-Logo

Maintenance Infos

The syndrome concept: history and statistical operationalizations


Weber, Adrian C; Scharfetter, Christian (1984). The syndrome concept: history and statistical operationalizations. Psychological Medicine, 14(02):315.

Abstract

A historical analysis of the syndrome concept shows that this term has been used in many different ways, ranging from clinical experience to records of coinciding symptoms. However, there seems to be broad agreement on the use of the word ‘syndrome' in daily practice. If empirical-mathematical methods are applied in syndrome detection, however, a precise operation-alization of the syndrome concept is needed. Traditional procedures have often used models more dictated by methodological considerations than derived from the field of application, i.e. psychiatric syndromatology. An alternative approach, Boolean factor analysis, is presented in this paper. This relatively new method is illustrated by means of the analysis of a small artificial sample with a known structure. As a point of reference, traditional methods (factor analysis, cluster analysis, and multidimensional scaling) are also briefly discussed. It is demonstrated that they all share a deficiency of information about inter-group structure. In contrast, Boolean factor analysis uses a syndromic definition which builds on the basic notion of concurrent symptoms. Moreover, this approach can easily be understood by clinicians

Abstract

A historical analysis of the syndrome concept shows that this term has been used in many different ways, ranging from clinical experience to records of coinciding symptoms. However, there seems to be broad agreement on the use of the word ‘syndrome' in daily practice. If empirical-mathematical methods are applied in syndrome detection, however, a precise operation-alization of the syndrome concept is needed. Traditional procedures have often used models more dictated by methodological considerations than derived from the field of application, i.e. psychiatric syndromatology. An alternative approach, Boolean factor analysis, is presented in this paper. This relatively new method is illustrated by means of the analysis of a small artificial sample with a known structure. As a point of reference, traditional methods (factor analysis, cluster analysis, and multidimensional scaling) are also briefly discussed. It is demonstrated that they all share a deficiency of information about inter-group structure. In contrast, Boolean factor analysis uses a syndromic definition which builds on the basic notion of concurrent symptoms. Moreover, this approach can easily be understood by clinicians

Statistics

Citations

Dimensions.ai Metrics
19 citations in Web of Science®
16 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

15 downloads since deposited on 18 Oct 2018
9 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:National licences > 142-005
Dewey Decimal Classification:610 Medicine & health
Scopus Subject Areas:Social Sciences & Humanities > Applied Psychology
Health Sciences > Psychiatry and Mental Health
Language:English
Date:1 May 1984
Deposited On:18 Oct 2018 11:34
Last Modified:31 Jul 2020 02:07
Publisher:Cambridge University Press
ISSN:0033-2917
OA Status:Green
Publisher DOI:https://doi.org/10.1017/s0033291700003585
Related URLs:https://www.swissbib.ch/Search/Results?lookfor=nationallicencecambridge101017S0033291700003585 (Library Catalogue)

Download

Green Open Access

Download PDF  'The syndrome concept: history and statistical operationalizations'.
Preview
Content: Published Version
Language: English
Filetype: PDF (Nationallizenz 142-005)
Size: 858kB
View at publisher