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Social Exclusion among African Immigrants in the United States.

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Title: Social Exclusion among African Immigrants in the United States.
Authors: Saasa, Sherinah, Allen, J Lloyd
Source: Social Work Research. Mar2021, Vol. 45 Issue 1, p51-62. 12p.
Subjects: Economic exclusion, Immigrants, Cross-sectional method, Pearson correlation (Statistics), African Americans, Education, Income, Health status indicators, Computer software, Culture, Statistical sampling, Structural equation modeling, Maximum likelihood statistics, Descriptive statistics, Surveys, Race, Religion, Statistics, One-way analysis of variance, Social isolation, Social participation
Geographic Terms: United States
Abstract: Research suggests exclusionary mechanisms fostering negative socioeconomic outcomes for African immigrants. This study explored predictors of social exclusion among immigrants from African countries living in the United States. The authors examined four dimensions of social exclusion that entail social–cultural and structural–economic exclusion. Authors used structural equation modeling to analyze cross-sectional survey data from first- and second-generation African immigrants across the United States (N = 409). Findings highlighted the negative effects of discrimination on all four dimensions of social exclusion. In addition, higher levels of education were associated with higher levels of social–cultural exclusion, whereas higher levels of income were protective from social and structural–economic exclusion. Authors also found health status, religion, race, and immigrant generation to have significant effects on social exclusion. Study findings have important implications for social workers seeking to identify and prevent exclusionary mechanisms and practices affecting African immigrants in the United States. [ABSTRACT FROM AUTHOR]
Copyright of Social Work Research is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Social Exclusion among African Immigrants in the United States.
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  Data: <searchLink fieldCode="AR" term="%22Saasa%2C+Sherinah%22">Saasa, Sherinah</searchLink><br /><searchLink fieldCode="AR" term="%22Allen%2C+J+Lloyd%22">Allen, J Lloyd</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Economic+exclusion%22">Economic exclusion</searchLink><br /><searchLink fieldCode="DE" term="%22Immigrants%22">Immigrants</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Pearson+correlation+%28Statistics%29%22">Pearson correlation (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22African+Americans%22">African Americans</searchLink><br /><searchLink fieldCode="DE" term="%22Education%22">Education</searchLink><br /><searchLink fieldCode="DE" term="%22Income%22">Income</searchLink><br /><searchLink fieldCode="DE" term="%22Health+status+indicators%22">Health status indicators</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink><br /><searchLink fieldCode="DE" term="%22Culture%22">Culture</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+sampling%22">Statistical sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+equation+modeling%22">Structural equation modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Maximum+likelihood+statistics%22">Maximum likelihood statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Surveys%22">Surveys</searchLink><br /><searchLink fieldCode="DE" term="%22Race%22">Race</searchLink><br /><searchLink fieldCode="DE" term="%22Religion%22">Religion</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22One-way+analysis+of+variance%22">One-way analysis of variance</searchLink><br /><searchLink fieldCode="DE" term="%22Social+isolation%22">Social isolation</searchLink><br /><searchLink fieldCode="DE" term="%22Social+participation%22">Social participation</searchLink>
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  Data: Research suggests exclusionary mechanisms fostering negative socioeconomic outcomes for African immigrants. This study explored predictors of social exclusion among immigrants from African countries living in the United States. The authors examined four dimensions of social exclusion that entail social–cultural and structural–economic exclusion. Authors used structural equation modeling to analyze cross-sectional survey data from first- and second-generation African immigrants across the United States (N = 409). Findings highlighted the negative effects of discrimination on all four dimensions of social exclusion. In addition, higher levels of education were associated with higher levels of social–cultural exclusion, whereas higher levels of income were protective from social and structural–economic exclusion. Authors also found health status, religion, race, and immigrant generation to have significant effects on social exclusion. Study findings have important implications for social workers seeking to identify and prevent exclusionary mechanisms and practices affecting African immigrants in the United States. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Social Work Research is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1093/swr/svaa022
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      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 51
    Subjects:
      – SubjectFull: Economic exclusion
        Type: general
      – SubjectFull: Immigrants
        Type: general
      – SubjectFull: Cross-sectional method
        Type: general
      – SubjectFull: Pearson correlation (Statistics)
        Type: general
      – SubjectFull: African Americans
        Type: general
      – SubjectFull: Education
        Type: general
      – SubjectFull: Income
        Type: general
      – SubjectFull: Health status indicators
        Type: general
      – SubjectFull: Computer software
        Type: general
      – SubjectFull: Culture
        Type: general
      – SubjectFull: Statistical sampling
        Type: general
      – SubjectFull: Structural equation modeling
        Type: general
      – SubjectFull: Maximum likelihood statistics
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Surveys
        Type: general
      – SubjectFull: Race
        Type: general
      – SubjectFull: Religion
        Type: general
      – SubjectFull: Statistics
        Type: general
      – SubjectFull: One-way analysis of variance
        Type: general
      – SubjectFull: Social isolation
        Type: general
      – SubjectFull: Social participation
        Type: general
      – SubjectFull: United States
        Type: general
    Titles:
      – TitleFull: Social Exclusion among African Immigrants in the United States.
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            NameFull: Saasa, Sherinah
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              M: 03
              Text: Mar2021
              Type: published
              Y: 2021
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              Value: 45
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