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Replicating Psychiatric Ratings Through Multiple Regression Analysis

The Midtown Manhattan Restudy

Datos Bibliográficos

ID2545337
AutoresEleanor Singer (autor de correspondencia), Steven Martin Cohen, Robin Garfinkel, Leo Srole
Año1976
Volumen17
Número4
Páginas376
Fecha de publicación1976-12-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaJournal of Health and Social Behavior (JOURNAL)
Identificadores de la revistaISSN: 0022-1465 • E-ISSN: 2150-6000
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.2307/2136715
PMID1010918
OpenAlexW2335200612
IdiomaEN
Citas recibidas2
Referencias citadas7

This paper examines three related questions: First, can psychiatrists' judgments be successfully predicted by multiple regression techniques? Second, assuming that they can, are such ratings a valid measure of mental health for the same sample at a later point in time? Third, what is the relation between mental health ratings made in 1954 and such subsequently reported behavioral outcomes as nervous breakdown, mental hospitalization, or seeking professional help for emotional problems? The evidence presented warrants two conclusion. (1) The computer-derived mental health ratings are an adequate substitute for the original ratings. The regression equation accounts for 69 percent of the variance in those ratings; and the computer-derived ratings behave in the same way as the psychiatrists' ratings in relation to other variables. (2) However, neither the psychiatrists' ratings nor the computer-derived ratings are very accurate in predicting subsequent self-reported behavior indicative of mental impairment

Data mining · Explained variation · Mental health · Point (geometry) · Psychiatry · Psychotherapist · Regression · Regression analysis · Relation (database) · Sample (material) · Statistics · Variance (accounting) · Clinical Psychology · Health disparities and outcomes · Mathematics · Mental Health Research Topics · Psychology

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Obras citantes distintas2
Citas por año0,05
Intervalo de citas1984 - 2001 (18)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 2
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