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Causal Effects of Single-Sex Schools on College Entrance Exams and College Attendance: Random Assignment in Seoul High Schools

Overview of attention for article published in Demography, October 2012
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Citations

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Title
Causal Effects of Single-Sex Schools on College Entrance Exams and College Attendance: Random Assignment in Seoul High Schools
Published in
Demography, October 2012
DOI 10.1007/s13524-012-0157-1
Pubmed ID
Authors

Hyunjoon Park, Jere R. Behrman, Jaesung Choi

Abstract

Despite the voluminous literature on the potentials of single-sex schools, there is no consensus on the effects of single-sex schools because of student selection of school types. We exploit a unique feature of schooling in Seoul-the random assignment of students into single-sex versus coeducational high schools-to assess causal effects of single-sex schools on college entrance exam scores and college attendance. Our validation of the random assignment shows comparable socioeconomic backgrounds and prior academic achievement of students attending single-sex schools and coeducational schools, which increases the credibility of our causal estimates of single-sex school effects. The three-level hierarchical model shows that attending all-boys schools or all-girls schools, rather than coeducational schools, is significantly associated with higher average scores on Korean and English test scores. Applying the school district fixed-effects models, we find that single-sex schools produce a higher percentage of graduates who attended four-year colleges and a lower percentage of graduates who attended two-year junior colleges than do coeducational schools. The positive effects of single-sex schools remain substantial, even after we take into account various school-level variables, such as teacher quality, the student-teacher ratio, the proportion of students receiving lunch support, and whether the schools are public or private.

X Demographics

X Demographics

The data shown below were collected from the profiles of 95 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 <1%
Hong Kong 1 <1%
Finland 1 <1%
United States 1 <1%
Luxembourg 1 <1%
Unknown 170 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 50 29%
Student > Ph. D. Student 29 17%
Student > Master 26 15%
Student > Doctoral Student 12 7%
Researcher 7 4%
Other 27 15%
Unknown 24 14%
Readers by discipline Count As %
Social Sciences 61 35%
Psychology 20 11%
Economics, Econometrics and Finance 19 11%
Business, Management and Accounting 12 7%
Arts and Humanities 9 5%
Other 26 15%
Unknown 28 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 118. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 October 2023.
All research outputs
#360,323
of 25,713,737 outputs
Outputs from Demography
#88
of 2,023 outputs
Outputs of similar age
#1,902
of 193,686 outputs
Outputs of similar age from Demography
#3
of 31 outputs
Altmetric has tracked 25,713,737 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,023 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.8. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 193,686 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.