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Wesley J. Kasprow

Researcher at Yale University

Publications -  53
Citations -  3085

Wesley J. Kasprow is an academic researcher from Yale University. The author has contributed to research in topics: Veterans Affairs & Mental health. The author has an hindex of 27, co-authored 53 publications receiving 2888 citations. Previous affiliations of Wesley J. Kasprow include Veterans Health Administration & United States Department of Veterans Affairs.

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No Safe Haven: A Study of Violence Exposure in an Urban Community

TL;DR: The results attest to the picture of violence as a common fact of inner-city life and to the demand that is placed on urban youths to accommodate in their psychological development to chronic threat and lack of safety.
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A Longitudinal Assessment of Teacher Perceptions of Parent Involvement in Children's Education and School Performance

TL;DR: Investigating the ways in which parental involvement in children's education changes over time and how it relates to children's social and academic functioning in school suggests that enhancing parents' involvement relates to improvements in school functioning.
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Cost-effectiveness of Supported Housing for Homeless Persons With Mental Illness

TL;DR: Supported housing for homeless people with mental illness results in superior housing outcomes than intensive case management alone or standard care and modestly increases societal costs.
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Rates and Risk Factors for Homelessness After Successful Housing in a Sample of Formerly Homeless Veterans

TL;DR: Subsidized housing vouchers, combined with intensive case management, are advantageous both for facilitating the initial transition from homelessness to being housed and for reducing the risk of discontinuous housing, even among individuals with more severe substance abuse problems.
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Impact of supported housing on clinical outcomes: analysis of a randomized trial using multiple imputation technique.

TL;DR: A previous publication found HUD-VASH resulted in superior housing outcomes but yielded no benefits on clinical outcomes but reanalyzed data using multiple imputation statistical methods to account for the missing observations.