Application of multiple discriminant analysis on the analysis of the correlation between macrophyte vegetation and water quality in running waters of Central Europe

SummaryJudgements of examinees’ health status by doctors and by the examinees themselves are compared applying multiple discriminant analysis. The doctors’ judgements of the examinees’ health status are studied comparatively using laboratory data and the examinees’ subjective symptom data.This data was obtained in an Automated Multiphasic Health Testing System. We discuss the health conditions which are significant for the judgement of doctors about the examinees. The results show that the explanatory power, when using subjective symptom data, is fair in the case of the doctors’ judgement. We found common variables, such as nervousness, lack of perseverance etc., which form the first canonical axis.

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Water quality. Guidance standard for the surveying of aquatic macrophytes in running waters

10.3403/02895340u ◽

2015 ◽

Keyword(s):

Water Quality ◽

Aquatic Macrophytes ◽

Running Waters

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Water quality. Guidance standard for the identification, enumeration and interpretation of benthic diatom samples from running waters

10.3403/03096075 ◽

2004 ◽

Keyword(s):

Water Quality ◽

Benthic Diatom ◽

Running Waters

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The validity of diagnostic systems for common mental disorders: a comparison between the ID-CATEGO and the DSM-III systems

Psychological Medicine ◽

10.1017/s0033291700013386 ◽

1990 ◽

Vol 20 (1) ◽

pp. 209-218 ◽

Cited By ~ 11

Author(s):

David Grayson ◽

Keith Bridges ◽

Diane Cook ◽

David Goldberg

Keyword(s):

Discriminant Analysis ◽

Depressive Disorders ◽

Common Mental Disorders ◽

Latent Trait ◽

Mental Illnesses ◽

Anxiety And Depression ◽

Multiple Discriminant Analysis ◽

Diagnostic Systems ◽

Scale Scores ◽

Initial Scale

SYNOPSISIt is argued that latent trait analysis provides a way of examining the construct validity of diagnostic concepts which are used to categorize common mental illnesses. The present study adds two additional aspects of validity using multiple discriminant analysis applied to two widely used taxonomic systems. Scales of anxiety and depression derived from previous latent trait analyses are applied to individuals reaching criteria for ‘caseness’ on the ID-CATEGO system and the DSM-III system, both at initial diagnosis and six months later. The first multiple discriminant analysis is carried out on the initial scale scores, and the results are interpreted in terms of concurrent validity. The second analysis uses improvement scores on the two scales and relates to predictive validity. It is argued that the ID-CATEGO system provides a better classification for common mental illnesses than the DSM-III system, since it allows a better discrimination to be made between anxiety and depressive disorders.

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