Capturing Intervention Effects Over Time: Reanalysis of a Critical Time Intervention for Homeless Mentally Ill Men

We analyzed whether a method for identifying latent trajectories--latent class growth analysis (LCGA)--was useful for understanding outcomes for individuals subject to an intervention. We used LCGA to reanalyze data from a published study of mentally ill homeless men in a critical time intervention...

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Veröffentlicht in:	American journal of public health (1971) 2005-10, Vol.95 (10), p.1760-1766
Hauptverfasser:	Lennon, Mary Clare, McAllister, William, Kuang, Li, Herman, Daniel B
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Analysis of Variance Community Mental Health Services - organization & administration Data Collection - methods Deinstitutionalization - organization & administration Growth models Homeless people Humans Ill-Housed Persons - classification Ill-Housed Persons - statistics & numerical data Intervention Likelihood Functions Longitudinal Studies Male Men Mental disorders Mental Disorders - prevention & control Middle Aged Models, Statistical New York City Outcome Assessment, Health Care - methods Outcome Assessment, Health Care - standards Probability Program Evaluation - methods Program Evaluation - standards Psychiatry - organization & administration Public health Randomized Controlled Trials as Topic Research and Practice Survival Analysis Taxonomy Time Factors Time series
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