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Predictors of past and current homelessness
Author(s) -
Calsyn Robert J.,
Roades Laurie A.
Publication year - 1994
Publication title -
journal of community psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.585
H-Index - 86
eISSN - 1520-6629
pISSN - 0090-4392
DOI - 10.1002/1520-6629(199407)22:3<272::aid-jcop2290220307>3.0.co;2-x
Subject(s) - alienation , marital status , psychology , race (biology) , human capital , social capital , explained variation , variance (accounting) , psychiatry , regression analysis , clinical psychology , demography , sociology , political science , population , gender studies , social science , machine learning , computer science , law , economics , economic growth , business , accounting
Multiple regression analysis was used to predict both the length of time since first homeless and the length of the current episode of homelessness. Predictor variables measuring lack of human capital were education and income. Social alienation predictors included prior homelessness, marital status, and childhood placement. Psychiatric predictors included prior hospitalization and level of functioning. Age, race, gender, and military veteran status were also included in the analyses. The hypothesized causes of homelessness (lack of human capital, social alienation, and psychiatric pathology) explained only a small proportion of the variance of both dependent variables. Age was the most powerful predictor.