Higher education dropout of non-traditional mature freshmen: the role of sociodemographic characteristics.

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Title: Higher education dropout of non-traditional mature freshmen: the role of sociodemographic characteristics.
Authors: Venegas-Muggli, Juan I.1 (AUTHOR) jvenegasm@inacap.cl
Source: Studies in Continuing Education. Nov2020, Vol. 42 Issue 3, p316-332. 17p.
Subject Terms: *Nonformal education, *Higher education, *Dropout rates (Education), *Universities & colleges, Logistic regression analysis
Geographic Terms: Chile
Abstract: This paper examines the role of sociodemographic characteristics on non-traditional mature freshmen higher education dropout rates. One of Chile's largest higher education institutions, which has an important number of mature students from more deprived social sectors, was used as a case study. A quantitative methodology was applied, based on the estimation of logistic regression models, where freshmen dropout rates were defined as the dependent variable and three types of independent variable were considered: family/demographic conditions, socio-economic situation and institutional structures. The results indicate that students who are parents, have a job, are not the heads of their households, are enrolled in longer programmes and who attended adult high school are more likely to drop out of higher education during their first year of study. Suggestions for institutional practices to better integrate mature students into higher education are discussed. [ABSTRACT FROM AUTHOR]
Copyright of Studies in Continuing Education is the property of Taylor & Francis Ltd 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.)
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  Data: <searchLink fieldCode="JN" term="%22Studies+in+Continuing+Education%22">Studies in Continuing Education</searchLink>. Nov2020, Vol. 42 Issue 3, p316-332. 17p.
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  Data: *<searchLink fieldCode="DE" term="%22Nonformal+education%22">Nonformal education</searchLink><br />*<searchLink fieldCode="DE" term="%22Higher+education%22">Higher education</searchLink><br />*<searchLink fieldCode="DE" term="%22Dropout+rates+%28Education%29%22">Dropout rates (Education)</searchLink><br />*<searchLink fieldCode="DE" term="%22Universities+%26+colleges%22">Universities & colleges</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Chile%22">Chile</searchLink>
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  Data: This paper examines the role of sociodemographic characteristics on non-traditional mature freshmen higher education dropout rates. One of Chile's largest higher education institutions, which has an important number of mature students from more deprived social sectors, was used as a case study. A quantitative methodology was applied, based on the estimation of logistic regression models, where freshmen dropout rates were defined as the dependent variable and three types of independent variable were considered: family/demographic conditions, socio-economic situation and institutional structures. The results indicate that students who are parents, have a job, are not the heads of their households, are enrolled in longer programmes and who attended adult high school are more likely to drop out of higher education during their first year of study. Suggestions for institutional practices to better integrate mature students into higher education are discussed. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Studies in Continuing Education is the property of Taylor & Francis Ltd 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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        Value: 10.1080/0158037X.2019.1652157
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        Text: English
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        PageCount: 17
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      – SubjectFull: Nonformal education
        Type: general
      – SubjectFull: Higher education
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      – SubjectFull: Dropout rates (Education)
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      – SubjectFull: Universities & colleges
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      – SubjectFull: Logistic regression analysis
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      – SubjectFull: Chile
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              Text: Nov2020
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