dc.creatorEulalio
dc.creatorMaria do Carmo; de Andrade
dc.creatorThiago Francisco; Pimenteira de Melo
dc.creatorRomulo Lustosa; Neri
dc.creatorAnita Liberalesso
dc.date2015-MAR
dc.date2016-06-07T13:16:47Z
dc.date2016-06-07T13:16:47Z
dc.date.accessioned2018-03-29T01:37:24Z
dc.date.available2018-03-29T01:37:24Z
dc.identifier
dc.identifierLatent Structure Of Depression In The Elderly: A Taxometric Analysis. Cadernos Saude Publica, v. 31, p. 555-564 MAR-2015.
dc.identifier0102-311X
dc.identifierWOS:000353670500012
dc.identifier10.1590/0102-311X00028914
dc.identifierhttp://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2015000300555&lng=pt&nrm=iso&tlng=en
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/242176
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1305874
dc.descriptionThis study aimed to investigate the latent structure of depression with a non-clinical sample of elderly, using taxometric analysis. The latter consists of a family of statistical procedures conceived for testing whether a given psychological construct is best represented by categories or dimensions in which individuals vary. The sample consisted of 570 elderly with a mean age of 71.9 years (SD = 7.45), who answered the Brazilian version of the Geriatric Depression Scale, a cognitive test, and demographic questions. Three taxometric procedures were used: Mean Above Minus Below A Cut (MAMBAC), Maximum Eigenvalue (MAXEIG), and Latent Mode (L-mode). Sets of simulated categorical and dimensional data, along with the comparison curve fit indices (CCFI), oriented the study data's interpretation. The results with the three techniques pointed to a better fit with the dimensional format as opposed to the taxonic one, that is, depression represented better as a syndrome in which subjects are distributed along a continuum rather than as a discrete diagnostic entity.
dc.description31
dc.description3
dc.description
dc.description555
dc.description564
dc.description
dc.description
dc.description
dc.languagept
dc.publisherCADERNOS SAUDE PUBLICA
dc.publisher
dc.publisherRIO DE JANIERO
dc.relationCADERNOS DE SAUDE PUBLICA
dc.rightsfechado
dc.sourceWOS
dc.subject2 Quantitative Indicators
dc.subjectAlcohol-use Disorders
dc.subjectMini-mental-state
dc.subjectDetecting Taxonicity
dc.subjectDsm-iv
dc.subjectScale
dc.subjectPsychopathy
dc.subjectPopulation
dc.subjectInventory
dc.subjectSample
dc.titleLatent Structure Of Depression In The Elderly: A Taxometric Analysis
dc.typeArtículos de revistas


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