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Stigma-in-Arms: An Empirical Study o...
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Seamone, Evan R.
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Stigma-in-Arms: An Empirical Study of Veterans' Disability Claims for the Psychological Impact of Discrimination.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Stigma-in-Arms: An Empirical Study of Veterans' Disability Claims for the Psychological Impact of Discrimination./
作者:
Seamone, Evan R.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:
272 p.
附註:
Source: Dissertations Abstracts International, Volume: 82-05, Section: B.
Contained By:
Dissertations Abstracts International82-05B.
標題:
Law. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28092703
ISBN:
9798678190178
Stigma-in-Arms: An Empirical Study of Veterans' Disability Claims for the Psychological Impact of Discrimination.
Seamone, Evan R.
Stigma-in-Arms: An Empirical Study of Veterans' Disability Claims for the Psychological Impact of Discrimination.
- Ann Arbor : ProQuest Dissertations & Theses, 2020 - 272 p.
Source: Dissertations Abstracts International, Volume: 82-05, Section: B.
Thesis (D.L.P.)--Northeastern University, 2020.
This item must not be sold to any third party vendors.
This study uses machine learning and regression analysis to identify characteristics of Veterans Affairs (VA) appellate cases to understand the type of supporting evidence that is most helpful for proving that military discrimination based on race or sexual orientation resulted in a mental health disability. Based on the lack of guidance from the VA or prior collection of data relating to the presentation and evaluation of discrimination claims, this study identified 653 mental health appeals based on military discrimination out of a total of 123,011 mental health appeals decided by the Board of Veterans Appeals between 1993 and 2019. From the corpus of cases, slightly over one-third (231 or 36%) prevailed in establishing that a mental health disorder illness was caused by discrimination while in the military. Multilevel logistic regression revealed that the characteristics most associated with case outcomes for discrimination included whether the veteran was represented on appeal, pre-service trauma, claimed Posttraumatic Stress Disorder, and number of mental health conditions claimed. The results of this study should help veterans' advocates evaluate the potential success of discrimination claims, should assist mental health examiners in understanding factors to evaluate in disability assessments, and should contribute important data for researchers to study the psychological impact of discrimination.
ISBN: 9798678190178Subjects--Topical Terms:
600858
Law.
Subjects--Index Terms:
Disability Compensation
Stigma-in-Arms: An Empirical Study of Veterans' Disability Claims for the Psychological Impact of Discrimination.
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This study uses machine learning and regression analysis to identify characteristics of Veterans Affairs (VA) appellate cases to understand the type of supporting evidence that is most helpful for proving that military discrimination based on race or sexual orientation resulted in a mental health disability. Based on the lack of guidance from the VA or prior collection of data relating to the presentation and evaluation of discrimination claims, this study identified 653 mental health appeals based on military discrimination out of a total of 123,011 mental health appeals decided by the Board of Veterans Appeals between 1993 and 2019. From the corpus of cases, slightly over one-third (231 or 36%) prevailed in establishing that a mental health disorder illness was caused by discrimination while in the military. Multilevel logistic regression revealed that the characteristics most associated with case outcomes for discrimination included whether the veteran was represented on appeal, pre-service trauma, claimed Posttraumatic Stress Disorder, and number of mental health conditions claimed. The results of this study should help veterans' advocates evaluate the potential success of discrimination claims, should assist mental health examiners in understanding factors to evaluate in disability assessments, and should contribute important data for researchers to study the psychological impact of discrimination.
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