Inequality of opportunity in selection procedures limits diversity in higher education: An intersectional study of Dutch selective higher education programs Article Swipe
Lianne Mulder
,
Eddymurphy U. Akwiwu
,
Jos W. R. Twisk
,
Andries S. Koster
,
Jan H. Ravesloot
,
Gerda Croiset
,
Rashmi A. Kusurkar
,
Anouk Wouters
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0292805
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0292805
Selection for higher education (HE) programs may hinder equal opportunities for applicants and thereby reduce student diversity and representativeness. However, variables which could play a role in inequality of opportunity are often studied separately from each other. Therefore, this retrospective cohort study conducts an innovative intersectional analysis of the inequality of opportunity in admissions to selective HE programs. Using a combination of multivariable logistic regression analyses and descriptive statistics, we aimed to investigate 1) the representativeness of student populations of selective HE programs, as compared to both the applicant pool and the demographics of the age cohort; 2) the demographic background variables which are associated with an applicant’s odds of admission; and 3) the intersectional acceptance rates of applicants with all , some or none of the background characteristics positively associated with odds of admission. The study focused on all selective HE programs (n = 96) in The Netherlands in 2019 and 2020, using Studielink applicant data (N = 85,839) and Statistics Netherlands microdata of ten background characteristics. The results show that student diversity in selective HE programs is limited, partly due to the widespread inequality of opportunity in the selection procedures, and partly due to self-selection. Out of all ten variables, migration background was most often (negatively) associated with the odds of receiving an offer of admission. The intersectional analyses provide detailed insight into how (dis)advantage has different effects for different groups. We therefore recommend the implementation of equitable admissions procedures which take intersectionality into account.
Related Topics
Concepts
Representativeness heuristic
Odds
Microdata (statistics)
Descriptive statistics
Inequality
Logistic regression
Diversity (politics)
Cohort
Odds ratio
Medicine
Demography
Selection (genetic algorithm)
Selection bias
Higher education
Psychology
Population
Sociology
Statistics
Social psychology
Census
Economics
Computer science
Economic growth
Anthropology
Artificial intelligence
Mathematics
Pathology
Mathematical analysis
Internal medicine
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0292805
- OA Status
- gold
- Cited By
- 5
- References
- 54
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387612040
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W4387612040Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1371/journal.pone.0292805Digital Object Identifier
- Title
-
Inequality of opportunity in selection procedures limits diversity in higher education: An intersectional study of Dutch selective higher education programsWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
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2023-10-13Full publication date if available
- Authors
-
Lianne Mulder, Eddymurphy U. Akwiwu, Jos W. R. Twisk, Andries S. Koster, Jan H. Ravesloot, Gerda Croiset, Rashmi A. Kusurkar, Anouk WoutersList of authors in order
- Landing page
-
https://doi.org/10.1371/journal.pone.0292805Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1371/journal.pone.0292805Direct OA link when available
- Concepts
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Representativeness heuristic, Odds, Microdata (statistics), Descriptive statistics, Inequality, Logistic regression, Diversity (politics), Cohort, Odds ratio, Medicine, Demography, Selection (genetic algorithm), Selection bias, Higher education, Psychology, Population, Sociology, Statistics, Social psychology, Census, Economics, Computer science, Economic growth, Anthropology, Artificial intelligence, Mathematics, Pathology, Mathematical analysis, Internal medicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
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5Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 3, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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54Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W1992878277, https://openalex.org/W2523761915, https://openalex.org/W2591137053, https://openalex.org/W3119169942, https://openalex.org/W2983706231, https://openalex.org/W1997617482, https://openalex.org/W3118291440, https://openalex.org/W3155877377, https://openalex.org/W4302763160, https://openalex.org/W4214838334, https://openalex.org/W3018919889, https://openalex.org/W2987215340, https://openalex.org/W3211063756, https://openalex.org/W2151796354, https://openalex.org/W2945653172, https://openalex.org/W3154665771, https://openalex.org/W3082362291, https://openalex.org/W3135630618, https://openalex.org/W3029930461, https://openalex.org/W4307697695, https://openalex.org/W2995459594, https://openalex.org/W3040361480, https://openalex.org/W2752737004, https://openalex.org/W2125467511, https://openalex.org/W2120009783, https://openalex.org/W2147863947, https://openalex.org/W1974438727, https://openalex.org/W2997589808, https://openalex.org/W4288077782, https://openalex.org/W2902609936, https://openalex.org/W2059796825, https://openalex.org/W2095874017, https://openalex.org/W1768285896, https://openalex.org/W2762508653, https://openalex.org/W2236836228, https://openalex.org/W2969346222, https://openalex.org/W3016196860, https://openalex.org/W2081655669, https://openalex.org/W2554301718, https://openalex.org/W2151396571, https://openalex.org/W4317242194, https://openalex.org/W2068002097, https://openalex.org/W1519760876, https://openalex.org/W2548275534, https://openalex.org/W2616530316, https://openalex.org/W4283261804, https://openalex.org/W4304013765, https://openalex.org/W2166561686, https://openalex.org/W2736432958, https://openalex.org/W4221083953, https://openalex.org/W2033907546, https://openalex.org/W4225383309, https://openalex.org/W2888798376, https://openalex.org/W3158473843 |
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