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The Relationship Between Work During College and Post College Earnings.

ABSTRACT: Prior research suggests that undergraduates employed during term time are less likely to graduate. Using transcript data from a large multi-campus university in the United States, combined with student earnings data from state administrative records, the authors find that traditional-age students who worked for pay during college on average earned more after leaving college than similar students who did not work. This post-college earnings premium is on par with the benefit from completing a degree, even after controlling for demographic and academic achievement characteristics, across various student sub-groups, and including models that account for selection bias. Implications of these findings for theories of education and social stratification, and for educational policy are considered.

SUBMITTER: Douglas D

PROVIDER: S-EPMC8022698 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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The Relationship Between Work During College and Post College Earnings.

Douglas Daniel D Attewell Paul P

Frontiers in sociology 20191210

Prior research suggests that undergraduates employed during term time are less likely to graduate. Using transcript data from a large multi-campus university in the United States, combined with student earnings data from state administrative records, the authors find that traditional-age students who worked for pay during college on average earned more after leaving college than similar students who did not work. This post-college earnings premium is on par with the benefit from completing a deg ...[more]

PMID: 33869400

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Project description:BackgroundOver 40% of Taiwanese College students experience sleep problems that not only impair their quality of life but also contribute to psychosomatic disorders. Of all the factors affecting the sleep quality, internet surfing is among one of the most prevalent. Female college students are more vulnerable to internet-associated sleep disorders than their male counterparts. Therefore, this study aims to investigate (1) the relationship between internet addiction and sleep quality, and (2) whether significant variations in sleep quality exist among students with different degrees of internet use.MethodsThis structured questionnaire-based cross-sectional study enrolled students from a technical institute in southern Taiwan. The questionnaire collected information on the following three aspects: (1) demography, (2) sleep quality with Pittsburgh Sleep Quality Index (PSQI), and (3) severity of internet addiction using a 20-item Internet Addiction Test (IAT). Multiple regression analysis was performed to examine the correlation between PSQI and IAT scores among the participants. Logistic analysis was used to determine the significance of association between PSQI and IAT scores.ResultsIn total, 503 female students were recruited (mean age 17.05 ± 1.34). After controlling for age, body mass index, smoking and drinking habits, religion, and habitual use of smartphone before sleep, internet addiction was found to be significantly associated with subjective sleep quality, sleep latency, sleep duration, sleep disturbance, use of sleep medication, and daytime dysfunction. Worse quality of sleep as reflected by PSQI was noted in students with moderate and severe degrees of internet addiction compared to those with mild or no internet addiction. Logistic regression analysis of the association between scores on IAT and sleep quality, demonstrated significant correlations between quality of sleep and total IAT scores (odds ratio = 1.05:1.03 ∼ 1.06, p < 0.01).ConclusionThe results of this study demonstrated significant negative association between the degree of internet addiction and sleep quality, providing reference for educational institutes to minimize adverse effects associated with internet use and improve students' sleep quality.

Dataset Information

The Relationship Between Work During College and Post College Earnings.

Publications

The Relationship Between Work During College and Post College Earnings.

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